AA7 – Customer Choice Model AssignmentNotes for Expert:1. Please read the Choice Models Case.pdf2. Watch the Video Lecture.mp4 where the professor walks through examples of this assignment, use...

1 answer below »
Please follow the instructions in the Case Task, simply answer 6 questions with screenshots. Preferred the expert to be adept in Marketing Analytics! American-English, please.

AA7 – Customer Choice Model Assignment Notes for Expert: 1. Please read the Choice Models Case.pdf 2. Watch the Video Lecture.mp4 where the professor walks through examples of this assignment, use the following link to access video: https://1drv.ms/v/s!AloMtfooflkegqZeq5vevL8qCVh4fQ?e=HEmZV1 3. Utilize the Enginius Predictive Modeling.xlsx to answer the 6 questions below 4. American English spelling – simply answer the 6 questions below with screenshots as instructed in the professor’s tasks below Task: · Read the case background, analyze the accompanying data sets and make necessary calculations, then respond to the following writing tasks. · Use tables and annotated screenshots copy/pasted in your answers below to display the Enginius/Excel information that is useful for the written responses. Address the following in your write up: 1. (20 pts) List out each statistically significant (i.e. p <.05) predictor of a travelers likelihood to book on airbnb. rank them by their impact on the likelihood to book (elasticities in the “1” column, not “0”). use your intuition to provide a brief explanation of what may cause there to be a significant statistical relationship for each of the variables. use the “aa7 airbnb traveler data.xlsx” to find the relevant information on enginius. 2. (20 pts) follow the same process for the prediction of hosts to have continued to remain as a host listing their property on airbnb until the city banned it in 2015. use “aa7 airbnb hosts data.xlsx”. 3. (10 pts) report on the accuracy of each model (travelers baseline & host baseline) in terms of the model’s ability to accurately predict the outcome (book a trip, remain on the service) and the alternative (not book, leave). see the “confusion matrix” and how many travelers/hosts the model accurately predicted to book/not-book or host/not-host. what are the models good/bad at predicting? 4. (20 pts) what would be your plan of attack to attract travelers to eugene to book on airbnb? who would you target? what email(s) might you send? etc. provide details. 5. (20 pts) what would be your plan of attack to entice owners to list their homes on airbnb for travelers to rent? who would you target? what characteristics would you look for? what offers might you send them? etc. provide details. 6. (10 pts) state any concerns you have with making decisions based on the analysis approach, modeling choices, or the inclusion of any problematic variables in the modeling effort. be specific as to why you think this might be a problem. marketing strategy: based on first principles and data analytics 1 marketing strategy: based on first principles and data analytics aa7: airbnb choice model marketing strategy: based on first principles and data analytics 2 acquiring new customers in the hospitality industry1 conor henderson, shrihari sridhar and alejandro lerza durant background airbnb is an internet firm that helps travelers discover and book unique accommodations offered by hosts with a room or house available for short term rental around the world. airbnb was founded in the summer of 2008 in san francisco, ca, and quickly became a disrupter to the traditional hotel and lodging industry. the company bypassed the brick and mortar business model by creating a brokerage service between prospective guests and decentralized lodging locations. airbnb’s service can be accessed via company websites or mobile applications for android, ios, and apple watch. system users may search for accommodations by filtering data such as date, location, lodging type, and price. prior to booking lodging, users must authenticate the process by providing their name, valid email address, photo id, telephone number, and payment information. airbnb earns revenue by charging service fees to both guests and hosts. the cost of airbnb lodging and accommodations is determined by the host. by not directly owning physical locations, airbnb has been able to quickly scale its business to accommodate demand. currently, the company offers more than 3 million listings in over 65,000 cities and nearly 200 countries. as of late 2016, airbnb was valued at around \$30 billion, a similar amount to the marriott hotel group, even though it does not own any of its properties. some local governments have decided airbnb is illegal or highly subject to local restrictions. imagine a city, which had previously made listing homes on airbnb illegal due to concerns that it was raising home values and making ownership unaffordable, makes a decision to allow the firm to operate as long as it pays travel taxes. in order to grow the local marketplace, airbnb hires you to come up with a plan and execute it. problem statement 1 conor henderson is an assistant professor of marketing at the university of oregon, shrihari sridhar is center for executive development professor at texas a&m university, and alejandro lerza durant is an m.s. analytics student at texas a&m university. marketing strategy: based on first principles and data analytics 3 as documented in chapter 3, customers change over time due to industry fluctuations. failing to understand and address these dynamics can lead to poor business performance. since variation in customers’ preferences over time is an inherent condition facing all marketers, an effective marketing strategy must manage these dynamics (mp#2). airbnb’s problem would appear to fit the second fundamental marketing problem all firms face while formulating marketing strategy, i.e. multiple factors were working together in multifaceted ways to make all customer change in the market. so airbnb must constantly analyze which needs, desires, and preferences across their buyers are most important to attracting (onboarding) customers and retaining hosts. thus, airbnb needs answers to the following questions:  which product attributes are most desired by customers during acquisition and retention?  how can the market be effectively segmented to decide: o which customers to acquire? o which customers to expand?  how should airbnb work its targeting and positioning strategy to deal with customer dynamics? to help inform the decision, suppose airbnb embarked on an analytics exercise in eugene, or, to power a choice-model-based analysis. data traveler data as a local airbnb manager, you partner with alaska airlines to promote your firm. as a pilot test, airbnb will pay alaska airlines \$9,000 for the ability to email a promotion to the next 3,000 passengers who book a flight from seattle to eugene. you design three emails: 1) promotion of \$25 off an airbnb booking, 2) promotion of free transportation from the airport to the eugene destination booked on airbnb (taxi cost is \$25, pre- arranged through oregon taxi), and 3) a simple welcome email from airbnb with a 30 second video that shows some of eugene’s highlights (no additional cost). the email promotions are randomly distributed to the first 3,000 passengers who booked a flight to eugene on alaska airlines and did not already have an airbnb account based on an email-matching algorithm. each promotion was mailed to 1,000 passengers. after the email campaign, alaska airlines shares the following information about the collected data:  email promotion type: 1=\$25 off, 2=free taxi, 3=welcome. these are converted into “dummy variables” of 1/0 for \$25 off and 1/0 for taxi, and the welcome email is used as the default reference category. marketing strategy: based on first principles and data analytics 4  customer email: the variable is used to do the following: o determine if the recipient uses any of the following email accounts:  @gmail.com;  @yahoo.com;  .edu;  or other. (these are also converted to dummy variables, with “other” as the default reference category.)  alaska account status: 1=not an alaska frequent flier member, 2=frequent flier member, 3=mvp frequent flier member.  address: 1=out of state, 2=oregon but not eugene or springfield, 3=eugene or springfield (converted to two dummy variables with “out of state” as the default reference category).  age.  outcome: indicates whether the person responded to the email by booking a stay on airbnb in eugene: 1=yes, 0=no.  number of tickets booked on the itinerary.  type of ticket: 1=round trip departing eugene in less than 14 days, 0=one way to eugene. host data separately, airbnb has data on hosts—those who list their property on the airbnb platform for travelers to rent. it is useful to know what predicts a host’s likelihood to remain on the platform over time. with a host’s retention rate and information on how much revenue they earn, you could prioritize which host to target based on their “lifetime value” (calculation can be estimated based on a customer lifetime value formula). you have the following data about 400 hosts:  whether the accommodation is still listed on airbnb: 1=yes, 0=no.  how long they were on airbnb in days.  listing type: 0=shared room or private room, 1=entire home.  number of guests the listing accommodates.  zillow estimate of property value in thousands of u.s. dollars.  average listing price on airbnb per night.  average rating by airbnb guests.  revenue generated in one year for airbnb via its property fee.  location: 1=campus to downtown to whitaker, 2=fairmont to amazon to south eugene hills, 3=friendly to west eugene, 4=north eugene, 5=springfield, 6=other outskirt locations. these are converted to dummy variables with “other outskirt locations” used as the default reference category. untitled spreadsheet frontpage enginius predictive modeling steve gallegos copyright (c) 2022, decisionpro inc. data description calibration data calibration data contains 3000 rows and 12 columns. it contains 11 predictors, to which we added an intercept. summary of predictors these data have been used for model calibration. email_25email_taxigmailyahooedualaskaffadd_oreadd_eugageticketsroundtrip average0.33300.33330.30930.22370.10531.74130.25100.379738.041.9900.8697 standard deviation0.47140.47150.46230.41680.30700.51880.43370.485410.341.1760.3367 median0.00000.00000.00000.00000.00002.00000.00000.000038.001.0001.0000 minimum0.00000.00000.00000.00000.00001.00000.00000.000018.001.0000.0000 maximum1.00001.00001.00001.00001.00003.00001.00001.000071.005.0001.0000 frequency table for observed choices alternative 0alternative 1 count2556444 frequency85.2%14.8% calibration data choiceemail_25email_taxigmailyahooedualaskaffadd_oreadd_eugageticketsroundtrip cu_id_11101001004611 cu_id_21101002002321 cu_id_30101002104741 cu_id_41101002014410 cu_id_51101001101821 cu_id_60101001013111 cu_id_70101002012411 cu_id_81101002004011 cu_id_90101001013841 cu_id_100101002003511 cu_id_110101002012311 cu_id_120101001004111 cu_id_130101002105551 cu_id_140101001012020 cu_id_150101001002221 cu_id_161101002002411 cu_id_170101002013651 cu_id_180101002012611 cu_id_191101002003411 cu_id_200101002103511 cu_id_210101002013511 cu_id_220101002004711 cu_id_230101002003611 cu_id_240101002014011 cu_id_250101003104041 cu_id_260101002003811 cu_id_270101001015210 cu_id_280101002013411 cu_id_290101002103421 cu_id_300101002004911 cu_id_311101003001811 cu_id_320101002003511 cu_id_330101001004611 cu_id_341101002012311 cu_id_350101001004231 cu_id_361101002002421 cu_id_370101003013711 cu_id_381101002004211 cu_id_390101002004841 cu_id_400101002104311 cu_id_411101002002311 cu_id_420101002013911 cu_id_430101001012210 cu_id_440101002102321 cu_id_450101002003911 cu_id_460101002012811 cu_id_470101002013211 cu_id_480101002014811 cu_id_490101001104611 cu_id_500101002013411 cu_id_510101002004811 cu_id_521101002014211 cu_id_530101003103911 cu_id_540101001006511 cu_id_551101002003831 cu_id_560101001013410 cu_id_571101002002811 cu_id_580101002014541 cu_id_590101002004311 cu_id_601101002002631 cu_id_610101002013510 cu_id_620101002104611 cu_id_630101001103911 cu_id_641101002102311 cu_id_650101002013011 cu_id_660101002013710 cu_id_670101002004411 cu_id_680101002105351 cu_id_690101003014511 cu_id_700101002014210 cu_id_711101002002411 cu_id_720101001104811 cu_id_730101002002611 cu_id_740101001013411 cu_id_750101002003941 cu_id_761101002012311 cu_id_770101002013031 cu_id_780101001014510 cu_id_790101002103510 cu_id_800101002004211 cu_id_810101002013711 cu_id_820101002014141 cu_id_830101002003741 cu_id_840101002012610 cu_id_850101002012020 cu_id_860101002012321 cu_id_870101002012511 cu_id_880101002013111 cu_id_891101002013811 cu_id_901101002003511 cu_id_910101001015011 cu_id_921101002003111 cu_id_930101002105211 cu_id_940101001005341 cu_id_951101001001821 cu_id_960101002103741 cu_id_970101002013210 cu_id_980101002013311 cu_id_990101002004440 cu_id_1000101001003841 cu_id_1011101002001911 cu_id_1020101002013321 cu_id_1030101002013510 cu_id_1040101002012811 cu_id_1050101002014111 cu_id_1060101003103311 cu_id_1070101002104050 cu_id_1080101003104131 cu_id_1090101001014010 cu_id_1100101002002831 cu_id_1110101001013421 cu_id_1120101002013010 cu_id_1130101003105111 cu_id_1141101002002411 cu_id_1151101002003841 cu_id_1161101002003111 cu_id_1171101002004251 cu_id_1180101002003911 cu_id_1190101002013310 cu_id_1201101002103941 cu_id_1210101002012821 cu_id_1220101001102011 cu_id_1230101001003411 cu_id_1240101002002821 cu_id_1250101001014211 cu_id_1260101002014811 cu_id_1270101002013311 cu_id_1280101002013111 cu_id_1290101001011811 cu_id_1301101002013331 cu_id_1310101002004011 cu_id_1320101002015020 cu_id_1330101002004341 cu_id_1341101002004541 cu_id_1350101002012521 cu_id_1360101002003641 cu_id_1370101002002811 cu_id_1381101002103511 cu_id_1390101002013811 cu_id_1400101002013811 cu_id_1410101002004511 cu_id_1421101002013021 cu_id_1430101002013220 cu_id_1440101002013411 cu_id_1451101002013611 cu_id_1460101001012921 cu_id_1470101003013841 cu_id_1480101002011921 cu_id_1490101002003711 cu_id_1500101002013811 cu_id_1510101002012911 cu_id_1520101001104241 cu_id_1530101002012920 cu_id_1540101001011821 cu_id_1550101002002640 cu_id_1561101002003641 cu_id_1570101002103331 cu_id_1580101002012610 cu_id_1590101002012931 cu_id_1600101002013111 cu_id_1610101001015311 cu_id_1620101002003911 cu_id_1631101002002620 cu_id_1640101002013711 cu_id_1651101002002621 cu_id_1661101003003841 cu_id_1670101002012011 cu_id_1680101002003710 cu_id_1690101002013211 cu_id_1700101002103941 cu_id_1710101002004020 cu_id_1720101002104031 cu_id_1730101002003941 cu_id_1740101002005311 cu_id_1750101002011810 cu_id_1760101002103110 cu_id_1771101002013711 cu_id_1780101002013910 cu_id_1790101002003231 cu_id_1801101002005741 cu_id_1810101002104411 cu_id_1820101002014711 cu_id_1830101001012110 cu_id_1840101002013641 cu_id_1850101002004041 cu_id_1860101002003221 cu_id_1870101003012911 cu_id_1880101001013941 cu_id_1890101002014311 cu_id_1901101002003941 cu_id_1911101003103811 cu_id_1920101003014451 cu_id_1930101002013711 cu_id_1940101001014211 cu_id_1951101003105111 cu_id_1960101001103841 cu_id_1971101002002111 cu_id_1980101002103610 cu_id_1990101001104141 cu_id_2000101001003221 cu_id_2011101002102311 cu_id_2020101002013641 cu_id_2030101003013631 cu_id_2040101002013811 cu_id_2050101002003511 cu_id_2060101002013431 cu_id_2070101002013910 cu_id_2080101001104211 cu_id_2090101002014541 cu_id_2101101002002711 cu_id_2110101002103711 cu_id_2120101002014141 cu_id_2130101002003841 cu_id_2140101002004911 cu_id_2151101002002411 cu_id_2160101003014111 cu_id_2170101002004941 cu_id_2181101002014111 cu_id_2190101002004211 cu_id_2200101002003331 cu_id_2210101002104411 cu_id_2220101001013431 cu_id_2230101002013711 cu_id_2241101002002631 cu_id_2250101002013021 cu_id_2260101001014911 cu_id_2271101002002111 cu_id_2280101002004111 cu_id_2290101002003941 cu_id_2300101001102711 cu_id_2310101002002911 cu_id_2320101002004211 cu_id_2330101002013521 cu_id_2340101002015241 cu_id_2350101002004311 cu_id_2360101002103711 cu_id_2370101001104641 cu_id_2380101002103231 cu_id_2391101002003231 cu_id_2400101002004310 cu_id_2410101002013431 cu_id_2420101002015011 cu_id_2430101001014211 cu_id_2441101002002521 cu_id_2451101002002521 cu_id_2461101002104311 cu_id_2470101002013321 cu_id_2480101001004711 cu_id_2490101003013611 cu_id_2501101002002011 cu_id_2510101002104211 cu_id_2520101002003610 cu_id_2531101002102811 cu_id_2540101002103841 cu_id_2550101002102211 cu_id_2560101001015141 cu_id_2570101002013711 cu_id_2580101001004241 cu_id_2590101002003941 cu_id_2600101002015410 cu_id_2610101001012010 cu_id_2620101002014011 cu_id_2631101002003941 cu_id_2640101003104451 cu_id_2650101002003631 cu_id_2661101003103321 cu_id_2670101002004111 cu_id_2681101002014111 cu_id_2690101002003311 cu_id_2700101002014931 cu_id_2710101002103111 cu_id_2720101001003411 cu_id_2731101002102311 cu_id_2740101002104031 cu_id_2750101002013211 cu_id_2760101002012831 cu_id_2770101002003741 cu_id_2780101002013920 cu_id_2791101001004211 cu_id_2801101002001811 cu_id_2810101002013211 cu_id_2821101002003411 cu_id_2830101002013111 cu_id_2840101002013021 cu_id_2850101002003731 cu_id_2860101002104541 cu_id_2870101001012311 cu_id_2880101001012110 cu_id_2890101001012510 cu_id_2900101002014211 cu_id_2910101002013311 cu_id_2921101002002211 cu_id_2930101002013120 cu_id_2940101001104211 cu_id_2950101002003211 cu_id_2960101002101821 cu_id_2970101002003430 cu_id_2980101003003731 cu_id_2991101002004411 cu_id_3000101002004341 cu_id_3010100101005831 cu_id_3020100101012920 cu_id_3030100103014310 cu_id_3040100101015611 cu_id_3050100101103941 cu_id_3060100102004331 cu_id_3070100101015230 cu_id_3080100102015911 cu_id_3090100101013421 cu_id_3100100101005031 cu_id_3110100102106241 cu_id_3120100101105240 cu_id_3130100102105140 cu_id_3141100102103411 cu_id_3150100102004011 cu_id_3160100102002521 cu_id_3170100102004841 cu_id_3180100102004931 cu_id_3190100101004110 cu_id_3200100101103811 cu_id_3210100102004131 cu_id_3221100101006031 cu_id_3230100101104331 cu_id_3240100102106111 cu_id_3251100101005041 cu_id_3260100102014011 cu_id_3270100103014731 cu_id_3280100101015510 cu_id_3291100101105141 cu_id_3300100102016421 cu_id_3310100102005011 cu_id_3320100102004931 cu_id_3330100102004141 cu_id_3340100102003021 cu_id_3350100102105140 cu_id_3360100102004811 cu_id_3370100102004041 cu_id_3380100101015930 cu_id_3390100102014211 cu_id_3400100102015931 cu_id_3410100102005011 cu_id_3420100102005441 cu_id_3430100101102811 cu_id_3440100102004031 cu_id_3450100101015540 cu_id_3460100102105231 cu_id_3470100102004641 cu_id_3480100102103731 cu_id_3490100101005911 cu_id_3500100101014111 cu_id_3510100101003931 cu_id_3520100101013330 cu_id_3530100102014811 cu_id_3540100101014811 cu_id_3551100101105741 cu_id_3560100102005241 cu_id_3570100101104941 cu_id_3580100101014141 cu_id_3590100101014611 cu_id_3600100102015611 cu_id_3610100101014311 cu_id_3620100102004721 cu_id_3630100102003011 cu_id_3640100101013911 cu_id_3650100101105240 cu_id_3660100101006211 cu_id_3670100102005411 cu_id_3680100102003421 cu_id_3690100102003311 cu_id_3700100101016710 cu_id_3710100102015911 cu_id_3720100102104111 cu_id_3731100101004441 cu_id_3740100102013321 cu_id_3750100101105141 cu_id_3760100101105131 cu_id_3770100102105141 cu_id_3780100101016511 cu_id_3790100101015140 cu_id_3800100102014711 cu_id_3810100101015630 cu_id_3820100102015010 cu_id_3830100102004311 cu_id_3840100101005931 cu_id_3850100102015010 cu_id_3860100101004631 cu_id_3871100102004111 cu_id_3880100102002911 cu_id_3891100102006011 cu_id_3900100101015211 cu_id_3910100102013730 cu_id_3920100102004111 cu_id_3930100101004331 cu_id_3940100101013711 cu_id_3951100102003321 cu_id_3960100102013710 cu_id_3970100102003611 cu_id_3980100102014311 cu_id_3990100102004611 cu_id_4000100102014910 cu_id_4010100103012711 cu_id_4020100102104311 cu_id_4030100102004131 cu_id_4040100101014911 cu_id_4050100102014010 cu_id_4060100101013930 cu_id_4070100101016911 cu_id_4080100102005011 cu_id_4090100102102811 cu_id_4100100101005011 cu_id_4110100102003011 cu_id_4120100102012521 cu_id_4130100102015011 cu_id_4141100102104011 cu_id_4150100102014240 cu_id_4160100102005341 cu_id_4170100101014111 cu_id_4180100101105311 cu_id_4190100102004311 cu_id_4200100101003011 cu_id_4210100102102611 cu_id_4221100102003310 cu_id_4230100102013931 cu_id_4240100101104611 cu_id_4250100101014431 cu_id_4260100101005111 cu_id_4270100101004021 cu_id_4281100102015341 cu_id_4290100101012511 cu_id_4301100102004441 cu_id_4310100101013321 cu_id_4321100102015441 cu_id_4330100101006141 cu_id_4340100102005131 cu_id_4350100102014631 cu_id_4360100101014141 cu_id_4370100101004731 cu_id_4380100102015411 cu_id_4390100102105011 cu_id_4401100102003731 cu_id_4410100102104951 cu_id_4420100102104011 cu_id_4430100101104631 cu_id_4440100102104411 cu_id_4450100102013631 cu_id_4460100102005531 cu_id_4470100102016111 cu_id_4481100102014511 cu_id_4490100101012611 cu_id_4500100102014811 cu_id_4510100102005341 cu_id_4520100102005131 cu_id_4530100102015231 cu_id_4540100102004311 cu_id_4550100101004911 cu_id_4560100101015131 cu_id_4570100102006311 cu_id_4580100102004411 cu_id_4590100102004511 cu_id_4600100102104611 cu_id_4610100102004331 cu_id_4620100102105531 cu_id_4630100102105011 cu_id_4640100102013131 cu_id_4650100102003321 cu_id_4660100102002631 cu_id_4670100101004831 cu_id_4680100101005241 cu_id_4690100102003811 cu_id_4700100102103321 cu_id_4710100102013520 cu_id_4720100102014211 cu_id_4730100102014211 cu_id_4740100102003421 cu_id_4751100102013511 cu_id_4760100101005111 cu_id_4770100102014011 cu_id_4780100102014131 cu_id_4790100101015411 cu_id_4800100101104411 cu_id_4810100102103811 cu_id_4820100101106511 cu_id_4830100101015641 cu_id_4840100101015441 cu_id_4850100101014041 cu_id_4860100102004331 cu_id_4870100102014111 cu_id_4880100102016110 cu_id_4890100102104311 cu_id_4900100102103841 cu_id_4910100102105211 cu_id_4920100102014811 cu_id_4930100102013131 cu_id_4940100102105211 cu_id_4950100102104941 cu_id_4960100102014641 cu_id_4970100101006411 cu_id_4980100102005711 cu_id_4990100102104541 cu_id_5000100101005331 cu_id_5010100101015341 cu_id_5020100101003511 cu_id_5031100101103531 cu_id_5040100102104941 cu_id_5050100102104611 cu_id_5060100101106011 cu_id_5070100102014011 cu_id_5080100102015810 cu_id_5091100102004941 cu_id_5100100101006231 cu_id_5110100101003811 cu_id_5120100101103311 cu_id_5130100101013410 cu_id_5140100101014411 cu_id_5150100101005341 cu_id_5160100102014710 cu_id_5170100101104911 cu_id_5180100101004111 cu_id_5190100102105311 cu_id_5201100102004341 cu_id_5210100102014031 cu_id_5220100102004831 cu_id_5230100102014311 cu_id_5240100102105411 cu_id_5250100101103121 cu_id_5261100011102021 cu_id_5271100011002211 cu_id_5281100012012311 cu_id_5291100011002611 cu_id_5300100012012611 cu_id_5310100012012731 cu_id_5321100012002321 cu_id_5331100012002211 cu_id_5340100011012811 cu_id_5350100011012321 cu_id_5360100012102411 cu_id_5370100011002211 cu_id_5381100012102510 cu_id_5390100012012510 cu_id_5400100012012931 cu_id_5411100012002421 cu_id_5420100012012731 cu_id_5430100012012631 cu_id_5440100012102420 cu_id_5450100012012711 cu_id_5460100012012421 cu_id_5470100012012631 cu_id_5480100011012311 cu_id_5491100012102411 cu_id_5501100012102711 cu_id_5511100012002511 cu_id_5520100012102521 cu_id_5530100012012411 cu_id_5540100012102511 cu_id_5550100012002711 cu_id_5561100012002321 cu_id_5570100011102511 cu_id_5581100011002811 cu_id_5590100013012120 cu_id_5600100011011920 cu_id_5610100012012411 cu_id_5621100011102721 cu_id_5630100011012831 cu_id_5640100011002411 cu_id_5650100012002421 cu_id_5661100012002421 cu_id_5670100013012311 cu_id_5681100012102821 cu_id_5691100011003911 cu_id_5700100012102410 cu_id_5710100012102511 cu_id_5721100012012311 cu_id_5731100011002611 cu_id_5740100011012611 cu_id_5750100012012220 cu_id_5761100011102311 cu_id_5771100012102111 cu_id_5780100011102211 cu_id_5791100012002521 cu_id_5800100012002511 cu_id_5811100012002421 cu_id_5820100011004411 cu_id_5830100012002411 cu_id_5840100012102421 cu_id_5850100012102811 cu_id_5860100012102611 cu_id_5871100012002311 cu_id_5881100012002710 cu_id_5890100012002511 cu_id_5900100012012511 cu_id_5911100012002611 predictor="" of="" a="" travelers="" likelihood="" to="" book="" on="" airbnb.="" rank="" them="" by="" their="" impact="" on="" the="" likelihood="" to="" book="" (elasticities="" in="" the="" “1”="" column,="" not="" “0”).="" use="" your="" intuition="" to="" provide="" a="" brief="" explanation="" of="" what="" may="" cause="" there="" to="" be="" a="" significant="" statistical="" relationship="" for="" each="" of="" the="" variables.="" use="" the="" “aa7="" airbnb="" traveler="" data.xlsx”="" to="" find="" the="" relevant="" information="" on="" enginius.="" 2.="" (20="" pts)="" follow="" the="" same="" process="" for="" the="" prediction="" of="" hosts="" to="" have="" continued="" to="" remain="" as="" a="" host="" listing="" their="" property="" on="" airbnb="" until="" the="" city="" banned="" it="" in="" 2015.="" use="" “aa7="" airbnb="" hosts="" data.xlsx”.="" 3.="" (10="" pts)="" report="" on="" the="" accuracy="" of="" each="" model="" (travelers="" baseline="" &="" host="" baseline)="" in="" terms="" of="" the="" model’s="" ability="" to="" accurately="" predict="" the="" outcome="" (book="" a="" trip,="" remain="" on="" the="" service)="" and="" the="" alternative="" (not="" book,="" leave).="" see="" the="" “confusion="" matrix”="" and="" how="" many="" travelers/hosts="" the="" model="" accurately="" predicted="" to="" book/not-book="" or="" host/not-host.="" what="" are="" the="" models="" good/bad="" at="" predicting?="" 4.="" (20="" pts)="" what="" would="" be="" your="" plan="" of="" attack="" to="" attract="" travelers="" to="" eugene="" to="" book="" on="" airbnb?="" who="" would="" you="" target?="" what="" email(s)="" might="" you="" send?="" etc.="" provide="" details.="" 5.="" (20="" pts)="" what="" would="" be="" your="" plan="" of="" attack="" to="" entice="" owners="" to="" list="" their="" homes="" on="" airbnb="" for="" travelers="" to="" rent?="" who="" would="" you="" target?="" what="" characteristics="" would="" you="" look="" for?="" what="" offers="" might="" you="" send="" them?="" etc.="" provide="" details.="" 6.="" (10="" pts)="" state="" any="" concerns="" you="" have="" with="" making="" decisions="" based="" on="" the="" analysis="" approach,="" modeling="" choices,="" or="" the="" inclusion="" of="" any="" problematic="" variables="" in="" the="" modeling="" effort.="" be="" specific="" as="" to="" why="" you="" think="" this="" might="" be="" a="" problem.="" marketing="" strategy:="" based="" on="" first="" principles="" and="" data="" analytics="" 1="" marketing="" strategy:="" based="" on="" first="" principles="" and="" data="" analytics="" aa7:="" airbnb="" choice="" model="" marketing="" strategy:="" based="" on="" first="" principles="" and="" data="" analytics="" 2="" acquiring="" new="" customers="" in="" the="" hospitality="" industry1="" conor="" henderson,="" shrihari="" sridhar="" and="" alejandro="" lerza="" durant="" background="" airbnb="" is="" an="" internet="" firm="" that="" helps="" travelers="" discover="" and="" book="" unique="" accommodations="" offered="" by="" hosts="" with="" a="" room="" or="" house="" available="" for="" short="" term="" rental="" around="" the="" world.="" airbnb="" was="" founded="" in="" the="" summer="" of="" 2008="" in="" san="" francisco,="" ca,="" and="" quickly="" became="" a="" disrupter="" to="" the="" traditional="" hotel="" and="" lodging="" industry.="" the="" company="" bypassed="" the="" brick="" and="" mortar="" business="" model="" by="" creating="" a="" brokerage="" service="" between="" prospective="" guests="" and="" decentralized="" lodging="" locations.="" airbnb’s="" service="" can="" be="" accessed="" via="" company="" websites="" or="" mobile="" applications="" for="" android,="" ios,="" and="" apple="" watch.="" system="" users="" may="" search="" for="" accommodations="" by="" filtering="" data="" such="" as="" date,="" location,="" lodging="" type,="" and="" price.="" prior="" to="" booking="" lodging,="" users="" must="" authenticate="" the="" process="" by="" providing="" their="" name,="" valid="" email="" address,="" photo="" id,="" telephone="" number,="" and="" payment="" information.="" airbnb="" earns="" revenue="" by="" charging="" service="" fees="" to="" both="" guests="" and="" hosts.="" the="" cost="" of="" airbnb="" lodging="" and="" accommodations="" is="" determined="" by="" the="" host.="" by="" not="" directly="" owning="" physical="" locations,="" airbnb="" has="" been="" able="" to="" quickly="" scale="" its="" business="" to="" accommodate="" demand.="" currently,="" the="" company="" offers="" more="" than="" 3="" million="" listings="" in="" over="" 65,000="" cities="" and="" nearly="" 200="" countries.="" as="" of="" late="" 2016,="" airbnb="" was="" valued="" at="" around="" \$30="" billion,="" a="" similar="" amount="" to="" the="" marriott="" hotel="" group,="" even="" though="" it="" does="" not="" own="" any="" of="" its="" properties.="" some="" local="" governments="" have="" decided="" airbnb="" is="" illegal="" or="" highly="" subject="" to="" local="" restrictions.="" imagine="" a="" city,="" which="" had="" previously="" made="" listing="" homes="" on="" airbnb="" illegal="" due="" to="" concerns="" that="" it="" was="" raising="" home="" values="" and="" making="" ownership="" unaffordable,="" makes="" a="" decision="" to="" allow="" the="" firm="" to="" operate="" as="" long="" as="" it="" pays="" travel="" taxes.="" in="" order="" to="" grow="" the="" local="" marketplace,="" airbnb="" hires="" you="" to="" come="" up="" with="" a="" plan="" and="" execute="" it.="" problem="" statement="" 1="" conor="" henderson="" is="" an="" assistant="" professor="" of="" marketing="" at="" the="" university="" of="" oregon,="" shrihari="" sridhar="" is="" center="" for="" executive="" development="" professor="" at="" texas="" a&m="" university,="" and="" alejandro="" lerza="" durant="" is="" an="" m.s.="" analytics="" student="" at="" texas="" a&m="" university.="" marketing="" strategy:="" based="" on="" first="" principles="" and="" data="" analytics="" 3="" as="" documented="" in="" chapter="" 3,="" customers="" change="" over="" time="" due="" to="" industry="" fluctuations.="" failing="" to="" understand="" and="" address="" these="" dynamics="" can="" lead="" to="" poor="" business="" performance.="" since="" variation="" in="" customers’="" preferences="" over="" time="" is="" an="" inherent="" condition="" facing="" all="" marketers,="" an="" effective="" marketing="" strategy="" must="" manage="" these="" dynamics="" (mp#2).="" airbnb’s="" problem="" would="" appear="" to="" fit="" the="" second="" fundamental="" marketing="" problem="" all="" firms="" face="" while="" formulating="" marketing="" strategy,="" i.e.="" multiple="" factors="" were="" working="" together="" in="" multifaceted="" ways="" to="" make="" all="" customer="" change="" in="" the="" market.="" so="" airbnb="" must="" constantly="" analyze="" which="" needs,="" desires,="" and="" preferences="" across="" their="" buyers="" are="" most="" important="" to="" attracting="" (onboarding)="" customers="" and="" retaining="" hosts.="" thus,="" airbnb="" needs="" answers="" to="" the="" following="" questions:="" ="" which="" product="" attributes="" are="" most="" desired="" by="" customers="" during="" acquisition="" and="" retention?="" ="" how="" can="" the="" market="" be="" effectively="" segmented="" to="" decide:="" o="" which="" customers="" to="" acquire?="" o="" which="" customers="" to="" expand?="" ="" how="" should="" airbnb="" work="" its="" targeting="" and="" positioning="" strategy="" to="" deal="" with="" customer="" dynamics?="" to="" help="" inform="" the="" decision,="" suppose="" airbnb="" embarked="" on="" an="" analytics="" exercise="" in="" eugene,="" or,="" to="" power="" a="" choice-model-based="" analysis.="" data="" traveler="" data="" as="" a="" local="" airbnb="" manager,="" you="" partner="" with="" alaska="" airlines="" to="" promote="" your="" firm.="" as="" a="" pilot="" test,="" airbnb="" will="" pay="" alaska="" airlines="" \$9,000="" for="" the="" ability="" to="" email="" a="" promotion="" to="" the="" next="" 3,000="" passengers="" who="" book="" a="" flight="" from="" seattle="" to="" eugene.="" you="" design="" three="" emails:="" 1)="" promotion="" of="" \$25="" off="" an="" airbnb="" booking,="" 2)="" promotion="" of="" free="" transportation="" from="" the="" airport="" to="" the="" eugene="" destination="" booked="" on="" airbnb="" (taxi="" cost="" is="" \$25,="" pre-="" arranged="" through="" oregon="" taxi),="" and="" 3)="" a="" simple="" welcome="" email="" from="" airbnb="" with="" a="" 30="" second="" video="" that="" shows="" some="" of="" eugene’s="" highlights="" (no="" additional="" cost).="" the="" email="" promotions="" are="" randomly="" distributed="" to="" the="" first="" 3,000="" passengers="" who="" booked="" a="" flight="" to="" eugene="" on="" alaska="" airlines="" and="" did="" not="" already="" have="" an="" airbnb="" account="" based="" on="" an="" email-matching="" algorithm.="" each="" promotion="" was="" mailed="" to="" 1,000="" passengers.="" after="" the="" email="" campaign,="" alaska="" airlines="" shares="" the="" following="" information="" about="" the="" collected="" data:="" ="" email="" promotion="" type:="" 1="\$25" off,="" 2="free" taxi,="" 3="welcome." these="" are="" converted="" into="" “dummy="" variables”="" of="" 1/0="" for="" \$25="" off="" and="" 1/0="" for="" taxi,="" and="" the="" welcome="" email="" is="" used="" as="" the="" default="" reference="" category.="" marketing="" strategy:="" based="" on="" first="" principles="" and="" data="" analytics="" 4="" ="" customer="" email:="" the="" variable="" is="" used="" to="" do="" the="" following:="" o="" determine="" if="" the="" recipient="" uses="" any="" of="" the="" following="" email="" accounts:="" ="" @gmail.com;="" ="" @yahoo.com;="" ="" .edu;="" ="" or="" other.="" (these="" are="" also="" converted="" to="" dummy="" variables,="" with="" “other”="" as="" the="" default="" reference="" category.)="" ="" alaska="" account="" status:="" 1="not" an="" alaska="" frequent="" flier="" member,="" 2="frequent" flier="" member,="" 3="MVP" frequent="" flier="" member.="" ="" address:="" 1="out" of="" state,="" 2="Oregon" but="" not="" eugene="" or="" springfield,="" 3="Eugene" or="" springfield="" (converted="" to="" two="" dummy="" variables="" with="" “out="" of="" state”="" as="" the="" default="" reference="" category).="" ="" age.="" ="" outcome:="" indicates="" whether="" the="" person="" responded="" to="" the="" email="" by="" booking="" a="" stay="" on="" airbnb="" in="" eugene:="" 1="yes," 0="no." ="" number="" of="" tickets="" booked="" on="" the="" itinerary.="" ="" type="" of="" ticket:="" 1="round" trip="" departing="" eugene="" in="" less="" than="" 14="" days,="" 0="one" way="" to="" eugene.="" host="" data="" separately,="" airbnb="" has="" data="" on="" hosts—those="" who="" list="" their="" property="" on="" the="" airbnb="" platform="" for="" travelers="" to="" rent.="" it="" is="" useful="" to="" know="" what="" predicts="" a="" host’s="" likelihood="" to="" remain="" on="" the="" platform="" over="" time.="" with="" a="" host’s="" retention="" rate="" and="" information="" on="" how="" much="" revenue="" they="" earn,="" you="" could="" prioritize="" which="" host="" to="" target="" based="" on="" their="" “lifetime="" value”="" (calculation="" can="" be="" estimated="" based="" on="" a="" customer="" lifetime="" value="" formula).="" you="" have="" the="" following="" data="" about="" 400="" hosts:="" ="" whether="" the="" accommodation="" is="" still="" listed="" on="" airbnb:="" 1="yes," 0="no." ="" how="" long="" they="" were="" on="" airbnb="" in="" days.="" ="" listing="" type:="" 0="shared" room="" or="" private="" room,="" 1="entire" home.="" ="" number="" of="" guests="" the="" listing="" accommodates.="" ="" zillow="" estimate="" of="" property="" value="" in="" thousands="" of="" u.s.="" dollars.="" ="" average="" listing="" price="" on="" airbnb="" per="" night.="" ="" average="" rating="" by="" airbnb="" guests.="" ="" revenue="" generated="" in="" one="" year="" for="" airbnb="" via="" its="" property="" fee.="" ="" location:="" 1="campus" to="" downtown="" to="" whitaker,="" 2="Fairmont" to="" amazon="" to="" south="" eugene="" hills,="" 3="Friendly" to="" west="" eugene,="" 4="North" eugene,="" 5="Springfield," 6="other" outskirt="" locations.="" these="" are="" converted="" to="" dummy="" variables="" with="" “other="" outskirt="" locations”="" used="" as="" the="" default="" reference="" category.="" untitled="" spreadsheet="" frontpage="" enginius="" predictive="" modeling="" steve="" gallegos="" copyright="" (c)="" 2022,="" decisionpro="" inc.="" data="" description="" calibration="" data="" calibration="" data="" contains="" 3000="" rows="" and="" 12="" columns.="" it="" contains="" 11="" predictors,="" to="" which="" we="" added="" an="" intercept.="" summary="" of="" predictors="" these="" data="" have="" been="" used="" for="" model="" calibration.="" email_25="" email_taxi="" gmail="" yahoo="" edu="" alaskaff="" add_ore="" add_eug="" age="" tickets="" roundtrip="" average="" 0.3330="" 0.3333="" 0.3093="" 0.2237="" 0.1053="" 1.7413="" 0.2510="" 0.3797="" 38.04="" 1.990="" 0.8697="" standard="" deviation="" 0.4714="" 0.4715="" 0.4623="" 0.4168="" 0.3070="" 0.5188="" 0.4337="" 0.4854="" 10.34="" 1.176="" 0.3367="" median="" 0.0000="" 0.0000="" 0.0000="" 0.0000="" 0.0000="" 2.0000="" 0.0000="" 0.0000="" 38.00="" 1.000="" 1.0000="" minimum="" 0.0000="" 0.0000="" 0.0000="" 0.0000="" 0.0000="" 1.0000="" 0.0000="" 0.0000="" 18.00="" 1.000="" 0.0000="" maximum="" 1.0000="" 1.0000="" 1.0000="" 1.0000="" 1.0000="" 3.0000="" 1.0000="" 1.0000="" 71.00="" 5.000="" 1.0000="" frequency="" table="" for="" observed="" choices="" alternative="" 0="" alternative="" 1="" count="" 2556="" 444="" frequency="" 85.2%="" 14.8%="" calibration="" data="" choice="" email_25="" email_taxi="" gmail="" yahoo="" edu="" alaskaff="" add_ore="" add_eug="" age="" tickets="" roundtrip="" cu_id_1="" 1="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 46="" 1="" 1="" cu_id_2="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 23="" 2="" 1="" cu_id_3="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 47="" 4="" 1="" cu_id_4="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 44="" 1="" 0="" cu_id_5="" 1="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 18="" 2="" 1="" cu_id_6="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 31="" 1="" 1="" cu_id_7="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 24="" 1="" 1="" cu_id_8="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 40="" 1="" 1="" cu_id_9="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 38="" 4="" 1="" cu_id_10="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 35="" 1="" 1="" cu_id_11="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 23="" 1="" 1="" cu_id_12="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 41="" 1="" 1="" cu_id_13="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 55="" 5="" 1="" cu_id_14="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 20="" 2="" 0="" cu_id_15="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 22="" 2="" 1="" cu_id_16="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 24="" 1="" 1="" cu_id_17="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 36="" 5="" 1="" cu_id_18="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 26="" 1="" 1="" cu_id_19="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 34="" 1="" 1="" cu_id_20="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 35="" 1="" 1="" cu_id_21="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 35="" 1="" 1="" cu_id_22="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 47="" 1="" 1="" cu_id_23="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 36="" 1="" 1="" cu_id_24="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 40="" 1="" 1="" cu_id_25="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 40="" 4="" 1="" cu_id_26="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 38="" 1="" 1="" cu_id_27="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 52="" 1="" 0="" cu_id_28="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 34="" 1="" 1="" cu_id_29="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 34="" 2="" 1="" cu_id_30="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 49="" 1="" 1="" cu_id_31="" 1="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 0="" 18="" 1="" 1="" cu_id_32="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 35="" 1="" 1="" cu_id_33="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 46="" 1="" 1="" cu_id_34="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 23="" 1="" 1="" cu_id_35="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 42="" 3="" 1="" cu_id_36="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 24="" 2="" 1="" cu_id_37="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 37="" 1="" 1="" cu_id_38="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 42="" 1="" 1="" cu_id_39="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 48="" 4="" 1="" cu_id_40="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 43="" 1="" 1="" cu_id_41="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 23="" 1="" 1="" cu_id_42="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 39="" 1="" 1="" cu_id_43="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 22="" 1="" 0="" cu_id_44="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 23="" 2="" 1="" cu_id_45="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 1="" 1="" cu_id_46="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 28="" 1="" 1="" cu_id_47="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 32="" 1="" 1="" cu_id_48="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 48="" 1="" 1="" cu_id_49="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 46="" 1="" 1="" cu_id_50="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 34="" 1="" 1="" cu_id_51="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 48="" 1="" 1="" cu_id_52="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 42="" 1="" 1="" cu_id_53="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 39="" 1="" 1="" cu_id_54="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 65="" 1="" 1="" cu_id_55="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 38="" 3="" 1="" cu_id_56="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 34="" 1="" 0="" cu_id_57="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 28="" 1="" 1="" cu_id_58="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 45="" 4="" 1="" cu_id_59="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 43="" 1="" 1="" cu_id_60="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 26="" 3="" 1="" cu_id_61="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 35="" 1="" 0="" cu_id_62="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 46="" 1="" 1="" cu_id_63="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 39="" 1="" 1="" cu_id_64="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 23="" 1="" 1="" cu_id_65="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 30="" 1="" 1="" cu_id_66="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 0="" cu_id_67="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 44="" 1="" 1="" cu_id_68="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 53="" 5="" 1="" cu_id_69="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 45="" 1="" 1="" cu_id_70="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 42="" 1="" 0="" cu_id_71="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 24="" 1="" 1="" cu_id_72="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 48="" 1="" 1="" cu_id_73="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 26="" 1="" 1="" cu_id_74="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 34="" 1="" 1="" cu_id_75="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 4="" 1="" cu_id_76="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 23="" 1="" 1="" cu_id_77="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 30="" 3="" 1="" cu_id_78="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 45="" 1="" 0="" cu_id_79="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 35="" 1="" 0="" cu_id_80="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 42="" 1="" 1="" cu_id_81="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 1="" cu_id_82="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 41="" 4="" 1="" cu_id_83="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 37="" 4="" 1="" cu_id_84="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 26="" 1="" 0="" cu_id_85="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 20="" 2="" 0="" cu_id_86="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 23="" 2="" 1="" cu_id_87="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 25="" 1="" 1="" cu_id_88="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 31="" 1="" 1="" cu_id_89="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 38="" 1="" 1="" cu_id_90="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 35="" 1="" 1="" cu_id_91="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 50="" 1="" 1="" cu_id_92="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 31="" 1="" 1="" cu_id_93="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 52="" 1="" 1="" cu_id_94="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 53="" 4="" 1="" cu_id_95="" 1="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 18="" 2="" 1="" cu_id_96="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 37="" 4="" 1="" cu_id_97="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 32="" 1="" 0="" cu_id_98="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 1="" 1="" cu_id_99="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 44="" 4="" 0="" cu_id_100="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 38="" 4="" 1="" cu_id_101="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 19="" 1="" 1="" cu_id_102="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 2="" 1="" cu_id_103="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 35="" 1="" 0="" cu_id_104="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 28="" 1="" 1="" cu_id_105="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 41="" 1="" 1="" cu_id_106="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 33="" 1="" 1="" cu_id_107="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 40="" 5="" 0="" cu_id_108="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 41="" 3="" 1="" cu_id_109="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 40="" 1="" 0="" cu_id_110="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 28="" 3="" 1="" cu_id_111="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 34="" 2="" 1="" cu_id_112="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 30="" 1="" 0="" cu_id_113="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 51="" 1="" 1="" cu_id_114="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 24="" 1="" 1="" cu_id_115="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 38="" 4="" 1="" cu_id_116="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 31="" 1="" 1="" cu_id_117="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 42="" 5="" 1="" cu_id_118="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 1="" 1="" cu_id_119="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 1="" 0="" cu_id_120="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 39="" 4="" 1="" cu_id_121="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 28="" 2="" 1="" cu_id_122="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 20="" 1="" 1="" cu_id_123="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 34="" 1="" 1="" cu_id_124="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 28="" 2="" 1="" cu_id_125="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 42="" 1="" 1="" cu_id_126="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 48="" 1="" 1="" cu_id_127="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 1="" 1="" cu_id_128="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 31="" 1="" 1="" cu_id_129="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 18="" 1="" 1="" cu_id_130="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 3="" 1="" cu_id_131="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 40="" 1="" 1="" cu_id_132="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 50="" 2="" 0="" cu_id_133="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 43="" 4="" 1="" cu_id_134="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 45="" 4="" 1="" cu_id_135="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 25="" 2="" 1="" cu_id_136="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 36="" 4="" 1="" cu_id_137="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 28="" 1="" 1="" cu_id_138="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 35="" 1="" 1="" cu_id_139="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 38="" 1="" 1="" cu_id_140="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 38="" 1="" 1="" cu_id_141="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 45="" 1="" 1="" cu_id_142="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 30="" 2="" 1="" cu_id_143="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 32="" 2="" 0="" cu_id_144="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 34="" 1="" 1="" cu_id_145="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 36="" 1="" 1="" cu_id_146="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 29="" 2="" 1="" cu_id_147="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 38="" 4="" 1="" cu_id_148="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 19="" 2="" 1="" cu_id_149="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 37="" 1="" 1="" cu_id_150="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 38="" 1="" 1="" cu_id_151="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 29="" 1="" 1="" cu_id_152="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 42="" 4="" 1="" cu_id_153="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 29="" 2="" 0="" cu_id_154="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 18="" 2="" 1="" cu_id_155="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 26="" 4="" 0="" cu_id_156="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 36="" 4="" 1="" cu_id_157="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 33="" 3="" 1="" cu_id_158="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 26="" 1="" 0="" cu_id_159="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 29="" 3="" 1="" cu_id_160="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 31="" 1="" 1="" cu_id_161="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 53="" 1="" 1="" cu_id_162="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 1="" 1="" cu_id_163="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 26="" 2="" 0="" cu_id_164="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 1="" cu_id_165="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 26="" 2="" 1="" cu_id_166="" 1="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 0="" 38="" 4="" 1="" cu_id_167="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 20="" 1="" 1="" cu_id_168="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 37="" 1="" 0="" cu_id_169="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 32="" 1="" 1="" cu_id_170="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 39="" 4="" 1="" cu_id_171="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 40="" 2="" 0="" cu_id_172="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 40="" 3="" 1="" cu_id_173="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 4="" 1="" cu_id_174="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 53="" 1="" 1="" cu_id_175="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 18="" 1="" 0="" cu_id_176="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 31="" 1="" 0="" cu_id_177="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 1="" cu_id_178="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 39="" 1="" 0="" cu_id_179="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 32="" 3="" 1="" cu_id_180="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 57="" 4="" 1="" cu_id_181="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 44="" 1="" 1="" cu_id_182="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 47="" 1="" 1="" cu_id_183="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 21="" 1="" 0="" cu_id_184="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 36="" 4="" 1="" cu_id_185="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 40="" 4="" 1="" cu_id_186="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 32="" 2="" 1="" cu_id_187="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 29="" 1="" 1="" cu_id_188="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 39="" 4="" 1="" cu_id_189="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 43="" 1="" 1="" cu_id_190="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 4="" 1="" cu_id_191="" 1="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 38="" 1="" 1="" cu_id_192="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 44="" 5="" 1="" cu_id_193="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 1="" cu_id_194="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 42="" 1="" 1="" cu_id_195="" 1="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 51="" 1="" 1="" cu_id_196="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 38="" 4="" 1="" cu_id_197="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 21="" 1="" 1="" cu_id_198="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 36="" 1="" 0="" cu_id_199="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 41="" 4="" 1="" cu_id_200="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 32="" 2="" 1="" cu_id_201="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 23="" 1="" 1="" cu_id_202="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 36="" 4="" 1="" cu_id_203="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 36="" 3="" 1="" cu_id_204="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 38="" 1="" 1="" cu_id_205="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 35="" 1="" 1="" cu_id_206="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 34="" 3="" 1="" cu_id_207="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 39="" 1="" 0="" cu_id_208="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 42="" 1="" 1="" cu_id_209="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 45="" 4="" 1="" cu_id_210="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 27="" 1="" 1="" cu_id_211="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 37="" 1="" 1="" cu_id_212="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 41="" 4="" 1="" cu_id_213="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 38="" 4="" 1="" cu_id_214="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 49="" 1="" 1="" cu_id_215="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 24="" 1="" 1="" cu_id_216="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 41="" 1="" 1="" cu_id_217="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 49="" 4="" 1="" cu_id_218="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 41="" 1="" 1="" cu_id_219="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 42="" 1="" 1="" cu_id_220="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 33="" 3="" 1="" cu_id_221="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 44="" 1="" 1="" cu_id_222="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 34="" 3="" 1="" cu_id_223="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 1="" cu_id_224="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 26="" 3="" 1="" cu_id_225="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 30="" 2="" 1="" cu_id_226="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 49="" 1="" 1="" cu_id_227="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 21="" 1="" 1="" cu_id_228="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 41="" 1="" 1="" cu_id_229="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 4="" 1="" cu_id_230="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 27="" 1="" 1="" cu_id_231="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 29="" 1="" 1="" cu_id_232="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 42="" 1="" 1="" cu_id_233="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 35="" 2="" 1="" cu_id_234="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 52="" 4="" 1="" cu_id_235="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 43="" 1="" 1="" cu_id_236="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 37="" 1="" 1="" cu_id_237="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 46="" 4="" 1="" cu_id_238="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 32="" 3="" 1="" cu_id_239="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 32="" 3="" 1="" cu_id_240="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 43="" 1="" 0="" cu_id_241="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 34="" 3="" 1="" cu_id_242="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 50="" 1="" 1="" cu_id_243="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 42="" 1="" 1="" cu_id_244="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 25="" 2="" 1="" cu_id_245="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 25="" 2="" 1="" cu_id_246="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 43="" 1="" 1="" cu_id_247="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 2="" 1="" cu_id_248="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 47="" 1="" 1="" cu_id_249="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 1="" 36="" 1="" 1="" cu_id_250="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 20="" 1="" 1="" cu_id_251="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 42="" 1="" 1="" cu_id_252="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 36="" 1="" 0="" cu_id_253="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 28="" 1="" 1="" cu_id_254="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 38="" 4="" 1="" cu_id_255="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 22="" 1="" 1="" cu_id_256="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 51="" 4="" 1="" cu_id_257="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 37="" 1="" 1="" cu_id_258="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 42="" 4="" 1="" cu_id_259="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 4="" 1="" cu_id_260="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 54="" 1="" 0="" cu_id_261="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 20="" 1="" 0="" cu_id_262="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 40="" 1="" 1="" cu_id_263="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 39="" 4="" 1="" cu_id_264="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 44="" 5="" 1="" cu_id_265="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 36="" 3="" 1="" cu_id_266="" 1="" 1="" 0="" 1="" 0="" 0="" 3="" 1="" 0="" 33="" 2="" 1="" cu_id_267="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 41="" 1="" 1="" cu_id_268="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 41="" 1="" 1="" cu_id_269="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 33="" 1="" 1="" cu_id_270="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 49="" 3="" 1="" cu_id_271="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 31="" 1="" 1="" cu_id_272="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 34="" 1="" 1="" cu_id_273="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 23="" 1="" 1="" cu_id_274="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 40="" 3="" 1="" cu_id_275="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 32="" 1="" 1="" cu_id_276="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 28="" 3="" 1="" cu_id_277="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 37="" 4="" 1="" cu_id_278="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 39="" 2="" 0="" cu_id_279="" 1="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 0="" 42="" 1="" 1="" cu_id_280="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 18="" 1="" 1="" cu_id_281="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 32="" 1="" 1="" cu_id_282="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 34="" 1="" 1="" cu_id_283="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 31="" 1="" 1="" cu_id_284="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 30="" 2="" 1="" cu_id_285="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 37="" 3="" 1="" cu_id_286="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 45="" 4="" 1="" cu_id_287="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 23="" 1="" 1="" cu_id_288="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 21="" 1="" 0="" cu_id_289="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 25="" 1="" 0="" cu_id_290="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 42="" 1="" 1="" cu_id_291="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 33="" 1="" 1="" cu_id_292="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 22="" 1="" 1="" cu_id_293="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 1="" 31="" 2="" 0="" cu_id_294="" 0="" 1="" 0="" 1="" 0="" 0="" 1="" 1="" 0="" 42="" 1="" 1="" cu_id_295="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 32="" 1="" 1="" cu_id_296="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 1="" 0="" 18="" 2="" 1="" cu_id_297="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 34="" 3="" 0="" cu_id_298="" 0="" 1="" 0="" 1="" 0="" 0="" 3="" 0="" 0="" 37="" 3="" 1="" cu_id_299="" 1="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 44="" 1="" 1="" cu_id_300="" 0="" 1="" 0="" 1="" 0="" 0="" 2="" 0="" 0="" 43="" 4="" 1="" cu_id_301="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 58="" 3="" 1="" cu_id_302="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 29="" 2="" 0="" cu_id_303="" 0="" 1="" 0="" 0="" 1="" 0="" 3="" 0="" 1="" 43="" 1="" 0="" cu_id_304="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 56="" 1="" 1="" cu_id_305="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 39="" 4="" 1="" cu_id_306="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 3="" 1="" cu_id_307="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 52="" 3="" 0="" cu_id_308="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 59="" 1="" 1="" cu_id_309="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 34="" 2="" 1="" cu_id_310="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 50="" 3="" 1="" cu_id_311="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 62="" 4="" 1="" cu_id_312="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 52="" 4="" 0="" cu_id_313="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 51="" 4="" 0="" cu_id_314="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 34="" 1="" 1="" cu_id_315="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 40="" 1="" 1="" cu_id_316="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 25="" 2="" 1="" cu_id_317="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 48="" 4="" 1="" cu_id_318="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 49="" 3="" 1="" cu_id_319="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 41="" 1="" 0="" cu_id_320="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 38="" 1="" 1="" cu_id_321="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 41="" 3="" 1="" cu_id_322="" 1="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 60="" 3="" 1="" cu_id_323="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 43="" 3="" 1="" cu_id_324="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 61="" 1="" 1="" cu_id_325="" 1="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 50="" 4="" 1="" cu_id_326="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 40="" 1="" 1="" cu_id_327="" 0="" 1="" 0="" 0="" 1="" 0="" 3="" 0="" 1="" 47="" 3="" 1="" cu_id_328="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 55="" 1="" 0="" cu_id_329="" 1="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 51="" 4="" 1="" cu_id_330="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 64="" 2="" 1="" cu_id_331="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 50="" 1="" 1="" cu_id_332="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 49="" 3="" 1="" cu_id_333="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 41="" 4="" 1="" cu_id_334="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 30="" 2="" 1="" cu_id_335="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 51="" 4="" 0="" cu_id_336="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 48="" 1="" 1="" cu_id_337="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 40="" 4="" 1="" cu_id_338="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 59="" 3="" 0="" cu_id_339="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 42="" 1="" 1="" cu_id_340="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 59="" 3="" 1="" cu_id_341="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 50="" 1="" 1="" cu_id_342="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 54="" 4="" 1="" cu_id_343="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 28="" 1="" 1="" cu_id_344="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 40="" 3="" 1="" cu_id_345="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 55="" 4="" 0="" cu_id_346="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 52="" 3="" 1="" cu_id_347="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 46="" 4="" 1="" cu_id_348="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 37="" 3="" 1="" cu_id_349="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 59="" 1="" 1="" cu_id_350="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 41="" 1="" 1="" cu_id_351="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 39="" 3="" 1="" cu_id_352="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 33="" 3="" 0="" cu_id_353="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 48="" 1="" 1="" cu_id_354="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 48="" 1="" 1="" cu_id_355="" 1="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 57="" 4="" 1="" cu_id_356="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 52="" 4="" 1="" cu_id_357="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 49="" 4="" 1="" cu_id_358="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 41="" 4="" 1="" cu_id_359="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 46="" 1="" 1="" cu_id_360="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 56="" 1="" 1="" cu_id_361="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 43="" 1="" 1="" cu_id_362="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 47="" 2="" 1="" cu_id_363="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 30="" 1="" 1="" cu_id_364="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 39="" 1="" 1="" cu_id_365="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 52="" 4="" 0="" cu_id_366="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 62="" 1="" 1="" cu_id_367="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 54="" 1="" 1="" cu_id_368="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 34="" 2="" 1="" cu_id_369="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 33="" 1="" 1="" cu_id_370="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 67="" 1="" 0="" cu_id_371="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 59="" 1="" 1="" cu_id_372="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 41="" 1="" 1="" cu_id_373="" 1="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 44="" 4="" 1="" cu_id_374="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 33="" 2="" 1="" cu_id_375="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 51="" 4="" 1="" cu_id_376="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 51="" 3="" 1="" cu_id_377="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 51="" 4="" 1="" cu_id_378="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 65="" 1="" 1="" cu_id_379="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 51="" 4="" 0="" cu_id_380="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 47="" 1="" 1="" cu_id_381="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 56="" 3="" 0="" cu_id_382="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 50="" 1="" 0="" cu_id_383="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 1="" 1="" cu_id_384="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 59="" 3="" 1="" cu_id_385="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 50="" 1="" 0="" cu_id_386="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 46="" 3="" 1="" cu_id_387="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 41="" 1="" 1="" cu_id_388="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 29="" 1="" 1="" cu_id_389="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 60="" 1="" 1="" cu_id_390="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 52="" 1="" 1="" cu_id_391="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 37="" 3="" 0="" cu_id_392="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 41="" 1="" 1="" cu_id_393="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 43="" 3="" 1="" cu_id_394="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 37="" 1="" 1="" cu_id_395="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 33="" 2="" 1="" cu_id_396="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 37="" 1="" 0="" cu_id_397="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 36="" 1="" 1="" cu_id_398="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 43="" 1="" 1="" cu_id_399="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 46="" 1="" 1="" cu_id_400="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 49="" 1="" 0="" cu_id_401="" 0="" 1="" 0="" 0="" 1="" 0="" 3="" 0="" 1="" 27="" 1="" 1="" cu_id_402="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 43="" 1="" 1="" cu_id_403="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 41="" 3="" 1="" cu_id_404="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 49="" 1="" 1="" cu_id_405="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 40="" 1="" 0="" cu_id_406="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 39="" 3="" 0="" cu_id_407="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 69="" 1="" 1="" cu_id_408="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 50="" 1="" 1="" cu_id_409="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 28="" 1="" 1="" cu_id_410="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 50="" 1="" 1="" cu_id_411="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 30="" 1="" 1="" cu_id_412="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 25="" 2="" 1="" cu_id_413="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 50="" 1="" 1="" cu_id_414="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 40="" 1="" 1="" cu_id_415="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 42="" 4="" 0="" cu_id_416="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 53="" 4="" 1="" cu_id_417="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 41="" 1="" 1="" cu_id_418="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 53="" 1="" 1="" cu_id_419="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 1="" 1="" cu_id_420="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 30="" 1="" 1="" cu_id_421="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 26="" 1="" 1="" cu_id_422="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 33="" 1="" 0="" cu_id_423="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 39="" 3="" 1="" cu_id_424="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 46="" 1="" 1="" cu_id_425="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 44="" 3="" 1="" cu_id_426="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 51="" 1="" 1="" cu_id_427="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 40="" 2="" 1="" cu_id_428="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 53="" 4="" 1="" cu_id_429="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 25="" 1="" 1="" cu_id_430="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 44="" 4="" 1="" cu_id_431="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 33="" 2="" 1="" cu_id_432="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 54="" 4="" 1="" cu_id_433="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 61="" 4="" 1="" cu_id_434="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 51="" 3="" 1="" cu_id_435="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 46="" 3="" 1="" cu_id_436="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 41="" 4="" 1="" cu_id_437="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 47="" 3="" 1="" cu_id_438="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 54="" 1="" 1="" cu_id_439="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 50="" 1="" 1="" cu_id_440="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 37="" 3="" 1="" cu_id_441="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 49="" 5="" 1="" cu_id_442="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 40="" 1="" 1="" cu_id_443="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 46="" 3="" 1="" cu_id_444="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 44="" 1="" 1="" cu_id_445="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 36="" 3="" 1="" cu_id_446="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 55="" 3="" 1="" cu_id_447="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 61="" 1="" 1="" cu_id_448="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 45="" 1="" 1="" cu_id_449="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 26="" 1="" 1="" cu_id_450="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 48="" 1="" 1="" cu_id_451="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 53="" 4="" 1="" cu_id_452="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 51="" 3="" 1="" cu_id_453="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 52="" 3="" 1="" cu_id_454="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 1="" 1="" cu_id_455="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 49="" 1="" 1="" cu_id_456="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 51="" 3="" 1="" cu_id_457="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 63="" 1="" 1="" cu_id_458="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 44="" 1="" 1="" cu_id_459="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 45="" 1="" 1="" cu_id_460="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 46="" 1="" 1="" cu_id_461="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 3="" 1="" cu_id_462="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 55="" 3="" 1="" cu_id_463="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 50="" 1="" 1="" cu_id_464="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 31="" 3="" 1="" cu_id_465="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 33="" 2="" 1="" cu_id_466="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 26="" 3="" 1="" cu_id_467="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 48="" 3="" 1="" cu_id_468="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 52="" 4="" 1="" cu_id_469="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 38="" 1="" 1="" cu_id_470="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 33="" 2="" 1="" cu_id_471="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 35="" 2="" 0="" cu_id_472="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 42="" 1="" 1="" cu_id_473="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 42="" 1="" 1="" cu_id_474="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 34="" 2="" 1="" cu_id_475="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 35="" 1="" 1="" cu_id_476="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 51="" 1="" 1="" cu_id_477="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 40="" 1="" 1="" cu_id_478="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 41="" 3="" 1="" cu_id_479="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 54="" 1="" 1="" cu_id_480="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 44="" 1="" 1="" cu_id_481="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 38="" 1="" 1="" cu_id_482="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 65="" 1="" 1="" cu_id_483="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 56="" 4="" 1="" cu_id_484="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 54="" 4="" 1="" cu_id_485="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 40="" 4="" 1="" cu_id_486="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 3="" 1="" cu_id_487="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 41="" 1="" 1="" cu_id_488="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 61="" 1="" 0="" cu_id_489="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 43="" 1="" 1="" cu_id_490="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 38="" 4="" 1="" cu_id_491="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 52="" 1="" 1="" cu_id_492="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 48="" 1="" 1="" cu_id_493="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 31="" 3="" 1="" cu_id_494="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 52="" 1="" 1="" cu_id_495="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 49="" 4="" 1="" cu_id_496="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 46="" 4="" 1="" cu_id_497="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 64="" 1="" 1="" cu_id_498="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 57="" 1="" 1="" cu_id_499="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 45="" 4="" 1="" cu_id_500="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 53="" 3="" 1="" cu_id_501="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 53="" 4="" 1="" cu_id_502="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 35="" 1="" 1="" cu_id_503="" 1="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 35="" 3="" 1="" cu_id_504="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 49="" 4="" 1="" cu_id_505="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 46="" 1="" 1="" cu_id_506="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 60="" 1="" 1="" cu_id_507="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 40="" 1="" 1="" cu_id_508="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 58="" 1="" 0="" cu_id_509="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 49="" 4="" 1="" cu_id_510="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 62="" 3="" 1="" cu_id_511="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 38="" 1="" 1="" cu_id_512="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 33="" 1="" 1="" cu_id_513="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 34="" 1="" 0="" cu_id_514="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 1="" 44="" 1="" 1="" cu_id_515="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 53="" 4="" 1="" cu_id_516="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 47="" 1="" 0="" cu_id_517="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 49="" 1="" 1="" cu_id_518="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 0="" 0="" 41="" 1="" 1="" cu_id_519="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 53="" 1="" 1="" cu_id_520="" 1="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 43="" 4="" 1="" cu_id_521="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 40="" 3="" 1="" cu_id_522="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 0="" 48="" 3="" 1="" cu_id_523="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 0="" 1="" 43="" 1="" 1="" cu_id_524="" 0="" 1="" 0="" 0="" 1="" 0="" 2="" 1="" 0="" 54="" 1="" 1="" cu_id_525="" 0="" 1="" 0="" 0="" 1="" 0="" 1="" 1="" 0="" 31="" 2="" 1="" cu_id_526="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 1="" 0="" 20="" 2="" 1="" cu_id_527="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 22="" 1="" 1="" cu_id_528="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 23="" 1="" 1="" cu_id_529="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 26="" 1="" 1="" cu_id_530="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 26="" 1="" 1="" cu_id_531="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 27="" 3="" 1="" cu_id_532="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 23="" 2="" 1="" cu_id_533="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 22="" 1="" 1="" cu_id_534="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 1="" 28="" 1="" 1="" cu_id_535="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 1="" 23="" 2="" 1="" cu_id_536="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 24="" 1="" 1="" cu_id_537="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 22="" 1="" 1="" cu_id_538="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 25="" 1="" 0="" cu_id_539="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 25="" 1="" 0="" cu_id_540="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 29="" 3="" 1="" cu_id_541="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 24="" 2="" 1="" cu_id_542="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 27="" 3="" 1="" cu_id_543="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 26="" 3="" 1="" cu_id_544="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 24="" 2="" 0="" cu_id_545="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 27="" 1="" 1="" cu_id_546="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 24="" 2="" 1="" cu_id_547="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 26="" 3="" 1="" cu_id_548="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 1="" 23="" 1="" 1="" cu_id_549="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 24="" 1="" 1="" cu_id_550="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 27="" 1="" 1="" cu_id_551="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 25="" 1="" 1="" cu_id_552="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 25="" 2="" 1="" cu_id_553="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 24="" 1="" 1="" cu_id_554="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 25="" 1="" 1="" cu_id_555="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 27="" 1="" 1="" cu_id_556="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 23="" 2="" 1="" cu_id_557="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 1="" 0="" 25="" 1="" 1="" cu_id_558="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 28="" 1="" 1="" cu_id_559="" 0="" 1="" 0="" 0="" 0="" 1="" 3="" 0="" 1="" 21="" 2="" 0="" cu_id_560="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 1="" 19="" 2="" 0="" cu_id_561="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 24="" 1="" 1="" cu_id_562="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 1="" 0="" 27="" 2="" 1="" cu_id_563="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 1="" 28="" 3="" 1="" cu_id_564="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 24="" 1="" 1="" cu_id_565="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 24="" 2="" 1="" cu_id_566="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 24="" 2="" 1="" cu_id_567="" 0="" 1="" 0="" 0="" 0="" 1="" 3="" 0="" 1="" 23="" 1="" 1="" cu_id_568="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 28="" 2="" 1="" cu_id_569="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 39="" 1="" 1="" cu_id_570="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 24="" 1="" 0="" cu_id_571="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 25="" 1="" 1="" cu_id_572="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 23="" 1="" 1="" cu_id_573="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 26="" 1="" 1="" cu_id_574="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 1="" 26="" 1="" 1="" cu_id_575="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 22="" 2="" 0="" cu_id_576="" 1="" 1="" 0="" 0="" 0="" 1="" 1="" 1="" 0="" 23="" 1="" 1="" cu_id_577="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 21="" 1="" 1="" cu_id_578="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 1="" 0="" 22="" 1="" 1="" cu_id_579="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 25="" 2="" 1="" cu_id_580="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 25="" 1="" 1="" cu_id_581="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 24="" 2="" 1="" cu_id_582="" 0="" 1="" 0="" 0="" 0="" 1="" 1="" 0="" 0="" 44="" 1="" 1="" cu_id_583="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 24="" 1="" 1="" cu_id_584="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 24="" 2="" 1="" cu_id_585="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 28="" 1="" 1="" cu_id_586="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 1="" 0="" 26="" 1="" 1="" cu_id_587="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 23="" 1="" 1="" cu_id_588="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 27="" 1="" 0="" cu_id_589="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 25="" 1="" 1="" cu_id_590="" 0="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 1="" 25="" 1="" 1="" cu_id_591="" 1="" 1="" 0="" 0="" 0="" 1="" 2="" 0="" 0="" 26="" 1="">
Answered 1 days AfterNov 18, 2022

Answer To: AA7 – Customer Choice Model AssignmentNotes for Expert:1. Please read the Choice Models...

Priye answered on Nov 20 2022
Untitled Spreadsheet
Frontpage
Enginius
Predictive Modeling
Steve Gallegos, Portland State University
Copyright (c) 2022, DecisionPro Inc.
Data description
Calibration data
Calibration data contains 400 rows and 13 columns. It contains 12 predictors, to which we added an intercept.
Summary of predictors
These data have been used for model calibration.
Length    Type_Hm    Guests    ZestimateK    ListPrice    Rating    Rev_AbB    Loc_Campus    Loc_Fairmont    Loc_Friendly    Loc_N_Eugene    Loc_Springfield
Average    357.83    0.7750    4.805    294.15    130.73    4.2133    490.25    0.2500    0.2475    0.1000    0.1850    0.1400
Standard deviation    145.02    0.4181    1.599    53.72    47.78    0.7323    187.41    0.4336    0.4321    0.3004    0.3888    0.3474
Median    352.00    1.0000    5.000    286.00    128.50    4.4000    500.50    0.0000    0.0000    0.0000    0.0000    0.0000
Minimum    21.00    0.0000    1.000    196.00    23.00    2.4000    10.00    0.0000    0.0000    0.0000    0.0000    0.0000
Maximum    825.00    1.0000    9.000    600.00    400.00    5.0000    1002.00    1.0000    1.0000    1.0000    1.0000    1.0000
Frequency table for observed choices
Alternative 0    Alternative 1
Count    110    290
Frequency    27.5%    72.5%
Calibration data
choice    Length    Type_Hm    Guests    ZestimateK    ListPrice    Rating    Rev_AbB    Loc_Campus    Loc_Fairmont    Loc_Friendly    Loc_N_Eugene    Loc_Springfield
Host_1    0    261    1    7    304    111    3.9    450    1    0    0    0    0
Host_2    1    494    1    5    210    137    4.8    671    1    0    0    0    0
Host_3    1    341    0    2    276    73    4.5    202    1    0    0    0    0
Host_4    0    189    0    4    314    79    3.9    403    1    0    0    0    0
Host_5    0    178    1    6    308    130    4.5    525    1    0    0    0    0
Host_6    1    542    1    6    253    140    4.3    620    1    0    0    0    0
Host_7    0    293    1    6    243    109    2.7    492    1    0    0    0    0
Host_8    1    298    1    2    275    122    4.9    758    1    0    0    0    0
Host_9    0    148    1    4    305    196    2.9    611    1    0    0    0    0
Host_10    1    281    0    3    254    74    3.8    394    1    0    0    0    0
Host_11    0    309    1    6    269    168    3.1    348    1    0    0    0    0
Host_12    1    359    1    3    281    86    4.4    447    1    0    0    0    0
Host_13    1    500    1    4    277    119    4.9    629    1    0    0    0    0
Host_14    1    557    0    1    229    98    5    547    1    0    0    0    0
Host_15    1    458    1    5    253    147    4.2    696    1    0    0    0    0
Host_16    1    563    1    4    275    137    4.8    438    1    0    0    0    0
Host_17    0    144    0    3    277    59    4.2    450    1    0    0    0    0
Host_18    0    294    1    7    450    125    3.1    630    1    0
0    0    0
Host_19    1    303    1    4    286    154    3.8    651    1    0    0    0    0
Host_20    1    456    1    5    307    159    4.5    761    1    0    0    0    0
Host_21    1    484    0    2    271    60    5    320    1    0    0    0    0
Host_22    1    547    1    5    223    117    4.3    908    1    0    0    0    0
Host_23    1    489    1    3    224    115    4.9    714    1    0    0    0    0
Host_24    1    481    0    3    222    77    5    435    1    0    0    0    0
Host_25    0    233    1    5    300    134    3.8    468    1    0    0    0    0
Host_26    1    511    1    3    267    75    4.8    527    1    0    0    0    0
Host_27    0    280    1    5    293    101    2.6    275    1    0    0    0    0
Host_28    0    423    1    5    310    178    4.5    450    1    0    0    0    0
Host_29    0    433    1    4    266    125    4.9    743    1    0    0    0    0
Host_30    0    84    1    5    236    116    4.3    55    1    0    0    0    0
Host_31    1    350    1    7    298    117    3.8    394    1    0    0    0    0
Host_32    1    183    1    4    299    119    4.4    359    1    0    0    0    0
Host_33    0    787    1    4    296    67    4.5    555    1    0    0    0    0
Host_34    1    303    0    4    285    78    4.7    59    1    0    0    0    0
Host_35    0    339    1    5    284    203    5    468    1    0    0    0    0
Host_36    1    487    1    4    258    164    5    440    1    0    0    0    0
Host_37    1    253    0    1    292    40    4    451    1    0    0    0    0
Host_38    1    178    1    4    266    109    3.3    383    1    0    0    0    0
Host_39    1    198    1    5    262    174    4.7    414    1    0    0    0    0
Host_40    0    398    1    4    400    138    3.7    430    1    0    0    0    0
Host_41    1    269    1    6    390    181    4.6    485    1    0    0    0    0
Host_42    0    351    1    2    275    104    3.9    402    1    0    0    0    0
Host_43    0    330    0    2    287    69    4.7    503    1    0    0    0    0
Host_44    1    283    1    6    200    186    4.8    492    1    0    0    0    0
Host_45    1    367    0    3    299    111    4.5    502    1    0    0    0    0
Host_46    0    676    1    6    330    147    4.6    558    1    0    0    0    0
Host_47    1    293    1    5    301    133    2.7    544    1    0    0    0    0
Host_48    1    296    0    3    252    87    3.2    368    1    0    0    0    0
Host_49    1    487    1    5    210    127    4.4    659    1    0    0    0    0
Host_50    1    197    1    2    277    134    3.9    469    1    0    0    0    0
Host_51    0    182    1    5    263    182    3.5    496    1    0    0    0    0
Host_52    1    381    1    5    297    123    4.9    728    1    0    0    0    0
Host_53    1    141    1    5    311    165    5    687    1    0    0    0    0
Host_54    1    335    1    6    275    145    2.8    611    1    0    0    0    0
Host_55    0    317    1    5    307    166    3    651    1    0    0    0    0
Host_56    0    185    1    4    237    180    3.2    469    1    0    0    0    0
Host_57    1    506    0    2    279    87    5    545    1    0    0    0    0
Host_58    1    100    1    6    240    126    4    25    1    0    0    0    0
Host_59    0    182    1    6    294    155    2.9    80    1    0    0    0    0
Host_60    1    344    1    6    303    121    4.7    677    1    0    0    0    0
Host_61    1    150    1    4    294    143    4.8    455    1    0    0    0    0
Host_62    0    410    1    4    306    151    5    642    1    0    0    0    0
Host_63    1    496    1    4    289    105    4.7    45    1    0    0    0    0
Host_64    1    469    1    3    222    83    4.2    589    1    0    0    0    0
Host_65    1    203    1    3    256    119    4.9    611    1    0    0    0    0
Host_66    1    418    0    2    269    78    4.8    585    1    0    0    0    0
Host_67    0    179    1    5    333    158    3    333    1    0    0    0    0
Host_68    1    278    1    4    262    147    3.9    345    1    0    0    0    0
Host_69    0    431    1    3    273    91    5    479    1    0    0    0    0
Host_70    0    272    0    1    272    59    5    305    1    0    0    0    0
Host_71    0    613    0    3    269    110    3.7    658    1    0    0    0    0
Host_72    0    21    1    4    285    163    3.9    174    1    0    0    0    0
Host_73    1    230    1    5    289    176    4.9    393    1    0    0    0    0
Host_74    0    269    1    7    390    225    3.4    466    1    0    0    0    0
Host_75    1    207    1    5    325    172    4.9    722    1    0    0    0    0
Host_76    0    390    1    6    323    197    4.3    677    1    0    0    0    0
Host_77    1    314    0    3    299    76    5    391    1    0    0    0    0
Host_78    1    424    1    5    295    174    4.9    928    1    0    0    0    0
Host_79    1    553    0    3    275    104    4.8    599    1    0    0    0    0
Host_80    1    455    1    6    311    120    4.7    700    1    0    0    0    0
Host_81    1    406    0    3    225    115    4.3    514    1    0    0    0    0
Host_82    1    430    1    3    286    107    4.6    686    1    0    0    0    0
Host_83    1    531    1    5    265    109    5    781    1    0    0    0    0
Host_84    0    170    1    4    270    140    3.4    400    1    0    0    0    0
Host_85    1    169    1    3    283    155    3.7    528    1    0    0    0    0
Host_86    1    357    0    2    262    86    5    443    1    0    0    0    0
Host_87    0    316    0    2    295    93    2.5    100    1    0    0    0    0
Host_88    1    573    1    5    272    139    5    633    1    0    0    0    0
Host_89    1    574    1    5    280    198    4.6    731    1    0    0    0    0
Host_90    0    21    1    4    302    160    4.2    30    1    0    0    0    0
Host_91    1    410    1    4    215    129    5    506    1    0    0    0    0
Host_92    1    469    1    5    293    128    5    510    1    0    0    0    0
Host_93    1    343    1    4    298    210    4.8    728    1    0    0    0    0
Host_94    1    208    1    4    282    198    5    671    1    0    0    0    0
Host_95    0    334    1    5    267    184    4.3    747    1    0    0    0    0
Host_96    0    169    1    5    340    207    5    420    1    0    0    0    0
Host_97    1    293    1    5    425    149    4.4    579    1    0    0    0    0
Host_98    1    495    0    2    292    45    3.9    595    1    0    0    0    0
Host_99    1    171    0    3    302    90    4.1    456    1    0    0    0    0
Host_100    1    266    1    4    299    94    5    415    1    0    0    0    0
Host_101    1    309    1    4    387    198    5    653    0    1    0    0    0
Host_102    1    375    1    4    305    128    4.2    497    0    1    0    0    0
Host_103    1    408    1    3    258    172    3.9    626    0    1    0    0    0
Host_104    0    79    1    3    280    125    3.1    88    0    1    0    0    0
Host_105    0    536    1    8    300    163    4    571    0    1    0    0    0
Host_106    1    298    1    6    272    151    3.6    588    0    1    0    0    0
Host_107    1    173    1    6    390    212    2.4    100    0    1    0    0    0
Host_108    1    224    1    6    328    206    5    810    0    1    0    0    0
Host_109    1    181    1    6    399    81    3.5    477    0    1    0    0    0
Host_110    1    241    1    6    394    169    5    412    0    1    0    0    0
Host_111    1    296    0    2    249    79    4.6    417    0    1    0    0    0
Host_112    0    357    1    7    322    213    5    734    0    1    0    0    0
Host_113    1    485    0    3    248    128    3.5    586    0    1    0    0    0
Host_114    1    122    0    3    309    120    3.3    142    0    1    0    0    0
Host_115    1    742    1    6    349    98    4.8    658    0    1    0    0    0
Host_116    1    264    1    6    350    164    3.5    469    0    1    0    0    0
Host_117    1    359    1    7    311    227    5    770    0    1    0    0    0
Host_118    1    379    1    5    316    197    4.8    628    0    1    0    0    0
Host_119    1    754    1    5    333    165    4.5    639    0    1    0    0    0
Host_120    1    537    1    4    273    176    4.7    514    0    1    0    0    0
Host_121    0    401    1    7    326    150    4.9    452    0    1    0    0    0
Host_122    1    443    0    2    272    118    3.4    458    0    1    0    0    0
Host_123    1    522    1    6    254    184    4.7    727    0    1    0    0    0
Host_124    0    253    1    6    350    166    2.4    450    0    1    0    0    0
Host_125    1    352    1    3    288    229    4.7    702    0    1    0    0    0
Host_126    1    176    1    6    314    186    4    609    0    1    0    0    0
Host_127    1    199    1    4    270    173    4.8    476    0    1    0    0    0
Host_128    1    230    1    4    330    199    4.7    460    0    1    0    0    0
Host_129    1    598    1    5    392    193    4.8    565    0    1    0    0    0
Host_130    1    477    0    3    238    47    4.8    525    0    1    0    0    0
Host_131    1    340    1    5    359    227    4.1    508    0    1    0    0    0
Host_132    1    641    0    3    331    156    4.5    690    0    1    0    0    0
Host_133    1    497    1    6    411    160    4.9    783    0    1    0    0    0
Host_134    1    384    1    6    285    128    4    622    0    1    0    0    0
Host_135    1    278    1    5    321    168    4.5    756    0    1    0    0    0
Host_136    1    453    1    5    265    180    3.7    670    0    1    0    0    0
Host_137    0    382    1    4    261    144    4.6    749    0    1    0    0    0
Host_138    1    532    1    3    262    117    4.2    541    0    1    0    0    0
Host_139    1    137    1    7    345    169    4.8    487    0    1    0    0    0
Host_140    1    274    1    6    355    151    3    546    0    1    0    0    0
Host_141    1    219    1    5    362    168    3.9    449    0    1    0    0    0
Host_142    1    410    1    5    276    95    5    557    0    1    0    0    0
Host_143    1    640    1    5    316    149    4.6    1002    0    1    0    0    0
Host_144    0    362    0    2    274    86    4    344    0    1    0    0    0
Host_145    1    339    1    6    303    169    4.9    771    0    1    0    0    0
Host_146    1    388    1    6    329    259    5    593    0    1    0    0    0
Host_147    1    527    1    5    356    192    4.1    461    0    1    0    0    0
Host_148    1    279    1    4    381    180    3.7    411    0    1    0    0    0
Host_149    1    527    1    5    250    107    4.3    576    0    1    0    0    0
Host_150    1    342    0    2    383    82    4.7    560    0    1    0    0    0
Host_151    1    618    1    6    266    118    4.9    853    0    1    0    0    0
Host_152    1    482    1    7    344    115    4.3    652    0    1    0    0    0
Host_153    1    548    0    2    279    108    4.2    602    0    1    0    0    0
Host_154    1    494    0    2    301    102    4.2    620    0    1    0    0    0
Host_155    0    334    1    6    303    193    2.8    516    0    1    0    0    0
Host_156    0    223    1    5    314    190    3.7    623    0    1    0    0    0
Host_157    1    343    0    5    379    104    3.1    559    0    1    0    0    0
Host_158    1    291    0    2    351    94    2.5    420    0    1    0    0    0
Host_159    1    574    0    2    266    115    4.9    490    0    1    0    0    0
Host_160    0    367    1    4    372    156    3.9    553    0    1    0    0    0
Host_161    1    291    1    5    295    128    5    600    0    1    0    0    0
Host_162    1    332    1    7    286    160    4.5    602    0    1    0    0    0
Host_163    0    309    0    3    320    95    4.6    611    0    1    0    0    0
Host_164    1    280    0    4    285    115    4    530    0    1    0    0    0
Host_165    0    27    1    4    329    138    3.1    40    0    1    0    0    0
Host_166    1    293    0    3    366    110    5    373    0    1    0    0    0
Host_167    0    316    0    2    297    37    2.9    542    0    1    0    0    0
Host_168    1    654    1    6    281    177    4.7    917    0    1    0    0    0
Host_169    1    89    1    6    293    136    4.7    109    0    1    0    0    0
Host_170    0    267    1    6    276    97    2.5    586    0    1    0    0    0
Host_171    1    533    0    2    371    45    5    499    0    1    0    0    0
Host_172    1    397    0    4    290    77    5    582    0    1    0    0    0
Host_173    0    350    1    5    353    187    3.2    494    0    1    0    0    0
Host_174    1    296    0    2    303    90    5    395    0    1    0    0    0
Host_175    0    373    1    6    322    209    3.4    567    0    1    0    0    0
Host_176    1    501    1    7    329    207    5    776    0    1    0    0    0
Host_177    0    301    1    6    388    211    4    712    0    1    0    0    0
Host_178    0    344    1    5    340    129    2.5    150    0    1    0    0    0
Host_179    1    206    1    3    255    147    2.8    409    0    1    0    0    0
Host_180    1    483    0    1    339    42    4.8    545    0    1    0    0    0
Host_181    1    415    1    7    305    224    5    936    0    1    0    0    0
Host_182    1    498    0    1    345    120    4.3    99    0    1    0    0    0
Host_183    1    358    1    5    319    125    4.5    507    0    1    0    0    0
Host_184    1    432    1    7    333    171    5    485    0    1    0    0    0
Host_185    0    110    1    6    378    110    5    487    0    1    0    0    0
Host_186    1    387    1    5    298    197    4.3    703    0    1    0    0    0
Host_187    1    527    1    4    433    107    4.8    542    0    1    0    0    0
Host_188    1    395    0    3    337    52    5    544    0    1    0    0    0
Host_189    1    260    1    6    313    99    2.5    350    0    1    0    0    0
Host_190    1    340    1    4    269    67    4.9    559    0    1    0    0    0
Host_191    0    373    1    6    379    222    4.8    602    0    1    0    0    0
Host_192    1    293    1    6    372    99    4.1    479    0    1    0    0    0
Host_193    1    237    1    5    275    167    4.5    278    0    1    0    0    0
Host_194    1    825    1    5    271    197    4.5    782    0    1    0    0    0
Host_195    1    283    1    5    358    172    3    565    0    1    0    0    0
Host_196    1    529    1    6    316    193    4.4    558    0    1    0    0    0
Host_197    1    323    1    4    283    100    2.5    99    0    1    0    0    0
Host_198    1    476    1    3    317    179    4.5    674    0    1    0    0    0
Host_199    1    420    1    4    320    202    5    716    0    1    0    0    0
Host_200    1    284    1    6    281    167    4.6    561    0    0    1    0    0
Host_201    1    414    0    4    268    86    5    525    0    0    1    0    0
Host_202    1    398    1    4    275    169    3.4    856    0    0    1    0    0
Host_203    1    408    1    6    230    150    4.5    669    0    0    1    0    0
Host_204    0    265    1    7    357    191    4    683    0    0    1    0    0
Host_205    1    425    1    7    310    138    4.9    511    0    0    1    0    0
Host_206    1    297    0    2    315    45    3.4    378    0    0    1    0    0
Host_207    0    401    1    5    289    111    4.4    470    0    0    1    0    0
Host_208    1    347    1    6    197    112    5    444    0    0    1    0    0
Host_209    1    422    0    3    245    44    3.8    302    0    0    1    0    0
Host_210    1    235    0    3    272    73    3.4    378    0    0    1    0    0
Host_211    1    435    1    5    283    84    4.5    420    0    0    1    0    0
Host_212    1    270    1    6    291    148    5    318    0    0    1    0    0
Host_213    1    382    1    8    308    146    4.2    276    0    0    1    0    0
Host_214    1    332    1    5    331    154    3.5    467    0    0    1    0    0
Host_215    1    191    1    6    311    194    2.5    79    0    0    1    0    0
Host_216    1    384    1    6    296    149    5    458    0    0    1    0    0
Host_217    1    412    1    5    325    162    5    798    0    0    1    0    0
Host_218    1    381    0    5    354    117    5    753    0    0    1    0    0
Host_219    1    665    1    5    259    133    4.1    484    0    0    1    0    0
Host_220    1    255    1    6    244    114    4.9    551    0    0    1    0    0
Host_221    1    414    1    8    316    154    4.1    700    0    0    1    0    0
Host_222    1    431    1    5    266    181    4.6    68    0    0    1    0    0
Host_223    1    556    1    6    287    175    4.4    529    0    0    1    0    0
Host_224    0    112    1    6    270    167    5    389    0    0    1    0    0
Host_225    0    383    1    5    234    150    3.5    609    0    0    1    0    0
Host_226    0    369    1    6    311    68    3.7    459    0    0    1    0    0
Host_227    1    472    0    4    306    75    3.7    433    0    0    1    0    0
Host_228    0    550    1    8    246    205    4.5    630    0    0    1    0    0
Host_229    1    333    1    5    241    121    2.7    438    0    0    1    0    0
Host_230    0    385    1    8    314    173    4.6    907    0    0    1    0    0
Host_231    1    405    1    5    303    155    5    652    0    0    1    0    0
Host_232    1    479    0    1    240    45    3.8    506    0    0    1    0    0
Host_233    0    21    1    4    284    153    5    80    0    0    1    0    0
Host_234    1    493    1    6    272    156    4.6    501    0    0    1    0    0
Host_235    0    153    1    6    279    158    2.8    446    0    0    1    0    0
Host_236    1    448    1    6    357    177    4.4    357    0    0    1    0    0
Host_237    1    459    1    5    291    89    5    558    0    0    1    0    0
Host_238    1    156    1    6    295    117    2.5    504    0    0    1    0    0
Host_239    1    507    0    5    285    69    4.7    343    0    0    1    0    0
Host_240    1    288    1    3    555    400    3.3    600    0    0    0    1    0
Host_241    1    336    0    4    288    106    5    543    0    0    0    1    0
Host_242    1    264    1    6    286    169    5    590    0    0    0    1    0
Host_243    1    297    1    7    338    144    5    501    0    0    0    1    0
Host_244    0    415    1    6    293    113    3.9    457    0    0    0    1    0
Host_245    1    311    1    4    262    94    3.6    466    0    0    0    1    0
Host_246    1    562    1    5    261    135    4.2    402    0    0    0    1    0
Host_247    1    486    0    3    280    114    4.4    369    0    0    0    1    0
Host_248    1    328    1    6    334    124    4.3    410    0    0    0    1    0
Host_249    0    92    1    6    286    150    5    100    0    0    0    1    0
Host_250    1    171    1    4    288    136    4.8    338    0    0    0    1    0
Host_251    1    455    1    5    269    103    3.8    458    0    0    0    1    0
Host_252    1    331    1    4    380    96    3.9    608    0    0    0    1    0
Host_253    1    317    1    5    425    111    3.2    440    0    0    0    1    0
Host_254    1    406    0    5    334    63    4.4    394    0    0    0    1    0
Host_255    0    94    0    2    210    38    2.5    45    0    0    0    1    0
Host_256    1    756    0    2    279    23    4.7    155    0    0    0    1    0
Host_257    1    568    1    4    287    159    4    600    0    0    0    1    0
Host_258    0    446    0    3    324    34    4.5    524    0    0    0    1    0
Host_259    1    438    1    5    285    121    4.5    570    0    0    0    1    0
Host_260    1    364    1    5    334    123    4.5    325    0    0    0    1    0
Host_261    1    480    1    6    355    118    4.4    721    0    0    0    1    0
Host_262    1    428    1    6    322    178    4.6    586    0    0    0    1    0
Host_263    0    242    1    4    332    118    2.4    80    0    0    0    1    0
Host_264    1    419    1    5    297    179    4.4    375    0    0    0    1    0
Host_265    1    449    1    8    303    165    4.1    673    0    0    0    1    0
Host_266    1    455    1    5    378    185    4.9    615    0    0    0    1    0
Host_267    1    198    0    5    347    66    4.6    346    0    0    0    1    0
Host_268    1    265    1    5    265    135    2.9    364    0    0    0    1    0
Host_269    1    383    1    6    322    98    4.9    460    0    0    0    1    0
Host_270    1    196    1    5    334    121    5    623    0    0    0    1    0
Host_271    1    21    1    6    455    136    4.8    55    0    0    0    1    0
Host_272    1    467    1    6    369    143    5    499    0    0    0    1    0
Host_273    1    170    1    6    272    75    2.5    491    0    0    0    1    0
Host_274    1    668    1    6    333    98    3.8    739    0    0    0    1    0
Host_275    1    632    0    3    313    55    4.4    478    0    0    0    1    0
Host_276    0    126    1    7    350    162    4.7    449    0    0    0    1    0
Host_277    1    344    1    4    297    122    3.5    542    0    0    0    1    0
Host_278    1    314    1    6    285    194    3.7    526    0    0    0    1    0
Host_279    1    266    1    7    271    145    4.8    499    0    0    0    1    0
Host_280    1    456    1    8    338    112    4.1    631    0    0    0    1    0
Host_281    1    252    1    6    282    114    4.4    394    0    0    0    1    0
Host_282    1    412    1    6    460    184    4.9    877    0    0    0    1    0
Host_283    0    142    0    5    292    67    4.1    50    0    0    0    1    0
Host_284    1    382    0    4    328    104    4.1    568    0    0    0    1    0
Host_285    1    516    1    7    426    120    4.9    563    0    0    0    1    0
Host_286    1    249    1    7    350    89    4.7    500    0    0    0    1    0
Host_287    0    172    1    5    316    119    5    332    0    0    0    1    0
Host_288    1    438    0    1    318    90    4.3    567    0    0    0    1    0
Host_289    0    440    0    4    315    115    3.8    393    0    0    0    1    0
Host_290    0    466    0    2    260    58    5    88    0    0    0    1    0
Host_291    0    37    1    6    300    147    3.9    10    0    0    0    1    0
Host_292    1    437    1    7    312    116    4.7    616    0    0    0    1    0
Host_293    0    166    1    8    302    167    2.9    497    0    0    0    1    0
Host_294    0    104    1    7    329    113    4.4    101    0    0    0    1    0
Host_295    1    512    1    3    291    138    5    568    0    0    0    1    0
Host_296    1    400    1    8    499    154    4.5    694    0    0    0    1    0
Host_297    0    560    1    5    333    103    4.4    80    0    0    0    1    0
Host_298    1    323    1    7    425    226    3.9    541    0    0    0    1    0
Host_299    1    406    1    5    291    139    4.6    482    0    0    0    1    0
Host_300    0    159    1    9    208    71    2.5    419    0    0    0    1    0
Host_301    1    302    1    5    334    183    5    571    0    0    0    1    0
Host_302    1    661    1    8    342    183    4.1    715    0    0    0    1    0
Host_303    1    424    1    7    400    156    5    604    0    0    0    1    0
Host_304    1    296    1    6    299    86    3.7    497    0    0    0    1    0
Host_305    0    120    1    7    328    135    3.9    75    0    0    0    1    0
Host_306    1    357    0    4    347    83    5    524    0    0    0    1    0
Host_307    1    538    0    2    265    95    3.8    489    0    0    0    1    0
Host_308    1    561    1    5    355    213    4.5    883    0    0    0    1    0
Host_309    1    206    1    7    400    153    3.9    626    0    0    0    1    0
Host_310    0    150    1    4    222    120    3.3    276    0    0    0    1    0
Host_311    0    65    1    5    298    157    4.5    33    0    0    0    1    0
Host_312    1    321    1    6    312    149    5    645    0    0    0    1    0
Host_313    1    406    1    5    286    164    5    318    0    0    0    1    0
Host_314    1    352    1    4    216    157    4.8    358    0    0    0    0    1
Host_315    1    319    1    6    248    183    3.8    222    0    0    0    0    1
Host_316    0    228    0    1    215    44    2.5    285    0    0    0    0    1
Host_317    0    151    1    4    273    167    2.5    84    0    0    0    0    1
Host_318    0    296    1    6    232    161    3.9    440    0    0    0    0    1
Host_319    1    148    1    3    284    127    5    417    0    0    0    0    1
Host_320    0    264    1    4    247    110    3.2    580    0    0    0    0    1
Host_321    0    244    1    7    248    217    4.9    538    0    0    0    0    1
Host_322    1    282    1    4    252    197    4    642    0    0    0    0    1
Host_323    1    357    1    8    259    99    4.9    575    0    0    0    0    1
Host_324    1    21    1    5    238    112    3.7    15    0    0    0    0    1
Host_325    1    287    1    7    260    130    3.4    439    0    0    0    0    1
Host_326    1    257    0    3    237    91    2.4    334    0    0    0    0    1
Host_327    1    374    1    6    252    176    4.8    581    0    0    0    0    1
Host_328    1    212    0    3    215    93    3.4    378    0    0    0    0    1
Host_329    1    254    1    7    274    131    5    446    0    0    0    0    1
Host_330    1    387    1    6    237    212    4.6    746    0    0    0    0    1
Host_331    0    470    1    5    229    153    3.9    411    0    0    0    0    1
Host_332    1    435    1    5    220    102    3.6    541    0    0    0    0    1
Host_333    1    323    0    3    235    59    5    353    0    0    0    0    1
Host_334    1    268    0    2    242    81    3.2    388    0    0    0    0    1
Host_335    1    423    1    6    242    48    3.7    554    0    0    0    0    1
Host_336    0    185    1    6    250    109    2.9    471    0    0    0    0    1
Host_337    1    320    0    3    254    78    3.4    323    0    0    0    0    1
Host_338    1    443    1    6    274    120    3.8    587    0    0    0    0    1
Host_339    1    371    1    4    287    99    4    478    0    0    0    0    1
Host_340    0    404    1    8    217    122    4.1    715    0    0    0    0    1
Host_341    1    484    0    4    276    44    5    513    0    0    0    0    1
Host_342    0    493    1    5    210    52    5    477    0    0    0    0    1
Host_343    1    399    1    6    254    110    4.9    531    0    0    0    0    1
Host_344    1    385    1    5    283    142    4.4    529    0    0    0    0    1
Host_345    1    381    1    6    253    152    4    563    0    0    0    0    1
Host_346    1    354    1    5    245    161    5    635    0    0    0    0    1
Host_347    1    234    1    5    264    114    5    425    0    0    0    0    1
Host_348    1    410    1    5    233    168    4.4    643    0    0    0    0    1
Host_349    1    439    1    4    255    101    5    554    0    0    0    0    1
Host_350    1    505    1    6    280    130    4.3    681    0    0    0    0    1
Host_351    1    451    1    6    245    192    4.8    340    0    0    0    0    1
Host_352    0    288    0    3    196    95    4.5    337    0    0    0    0    1
Host_353    1    424    1    7    271    190    5    480    0    0    0    0    1
Host_354    0    101    0    4    253    95    3    10    0    0    0    0    1
Host_355    1    520    1    8    213    191    4.3    814    0    0    0    0    1
Host_356    1    353    1    6    255    138    5    423    0    0    0    0    1
Host_357    1    436    1    6    283    157    4.1    615    0    0    0    0    1
Host_358    0    527    0    3    251    30    4.3    476    0    0    0    0    1
Host_359    1    282    1    5    252    132    4.8    624    0    0    0    0    1
Host_360    1    488    1    8    297    132    4.1    748    0    0    0    0    1
Host_361    1    290    1    6    247    105    4    500    0    0    0    0    1
Host_362    1    275    1    7    224    129    4.6    457    0    0    0    0    1
Host_363    1    246    1    7    273    152    3.2    416    0    0    0    0    1
Host_364    0    206    0    6    238    90    3    323    0    0    0    0    1
Host_365    0    280    0    3    269    50    3.4    405    0    0    0    0    1
Host_366    1    206    1    5    273    102    4.6    200    0    0    0    0    1
Host_367    0    353    0    3    231    76    4.1    429    0    0    0    0    1
Host_368    1    339    1    5    223    158    3.4    339    0    0    0    0    1
Host_369    1    273    1    5    237    89    2.5    361    0    0    0    0    1
Host_370    1    762    0    5    220    122    4.8    647    0    0    0    0    0
Host_371    1    261    1    6    221    118    2.5    584    0    0    0    0    0
Host_372    1    305    1    6    271    172    5    480    0    0    0    0    0
Host_373    0    362    1    5    244    46    4.2    80    0    0    0    0    0
Host_374    1    429    1    5    235    103    4.4    598    0    0    0    0    0
Host_375    0    298    1    4    206    74    3.3    515    0    0    0    0    0
Host_376    1    438    1    5    247    66    4.3    504    0    0    0    0    0
Host_377    1    458    1    6    248    145    4.8    672    0    0    0    0    0
Host_378    0    287    1    6    220    106    2.5    598    0    0    0    0    0
Host_379    0    475    1    4    400    143    3.9    405    0    0    0    0    0
Host_380    1    525    1    6    289    220    4.9    575    0    0    0    0    0
Host_381    1    352    1    5    246    155    4.2    258    0    0    0    0    0
Host_382    1    494    1    6    263    118    4.1    596    0    0    0    0    0
Host_383    0    432    1    7    439    120    3.6    359    0    0    0    0    0
Host_384    1    512    1    4    231    131    5    404    0    0    0    0    0
Host_385    0    628    0    4    233    27    4.1    494    0    0    0    0    0
Host_386    1    344    0    4    277    59    4.2    312    0    0    0    0    0
Host_387    1    515    1    6    273    105    4.6    366    0    0    0    0    0
Host_388    0    283    0    2    269    68    3    201    0    0    0    0    0
Host_389    0    343    1    7    238    171    4.2    350    0    0    0    0    0
Host_390    0    140    1    7    600    142    4.5    222    0    0    0    0    0
Host_391    1    242    1    5    250    43    3.8    259    0    0    0    0    0
Host_392    1    643    0    3    205    32    4    345    0    0    0    0    0
Host_393    1    315    1    6    252    134    4.6    418    0    0    0    0    0
Host_394    1    410    1    5    292    153    4.7    514    0    0    0    0    0
Host_395    1    238    1    5    210    76    4.3    318    0    0    0    0    0
Host_396    1    598    1    4    239    136    4    707    0    0    0    0    0
Host_397    1    739    1    5    291    163    5    764    0    0    0    0    0
Host_398    0    346    0    2    256    27    4.5    264    0    0    0    0    0
Host_399    0    489    0    4    255    65    4.3    502    0    0    0    0    0
Host_400    0    324    0    4    257    63    4.3    443    0    0    0    0    0
Normalized predictors
Box-Cox parameters for the predictors
The lambda values are the parameters used to transform the original data with the Box-Cox transformation. The shift values are the constant added to make sure all values are positive before applying the Box-Cox transformation.
Length    Type_Hm    Guests    ZestimateK    ListPrice    Rating    Rev_AbB    Loc_Campus    Loc_Fairmont    Loc_Friendly    Loc_N_Eugene    Loc_Springfield
lambda    0.800    2.000    1.100    -0.900    0.800    2.000    1.200    -2.000    -2.000    -2.000    -2.000    -2.000
shift    0.00    1.00    0.00    0.00    0.00    0.00    0.00    1.00    1.00    1.00    1.00    1.00
You asked to apply a Box-Cox transformation to normalize the predictors.
Normalized predictors (calibration data)
Predictor variables after applying the Box-Cox...
SOLUTION.PDF

Answer To This Question Is Available To Download

Submit New Assignment

Copy and Paste Your Assignment Here