The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their...



The Wall Street Journal
asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (X) and the average amount spent on entertainment (Y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation y = 17.49 + 1.0334x. For these data SSE = 1541.4. Use Table 1 of Appendix B.


(NEED ANSWER FOR A)



a.Predict the amount spent on entertainment for a particular city that has a daily room rate of $89  (to 2 decimals).


The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide<br>insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the<br>average daily hotel room rate (x) and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These<br>data lead to the estimated regression equation ŷ = 17.49 + 1.0334x. For these data SSE = 1541.4. Click on the datafile logo to reference the data. Use<br>Table 1 of Appendix B.<br>DATA file<br>Room Rate Entertainment<br>City<br>($)<br>(s)<br>Boston<br>148<br>161<br>Denver<br>96<br>105<br>Nashville<br>91<br>101<br>New Orleans<br>110<br>142<br>Phoenix<br>90<br>100<br>San Diego<br>102<br>120<br>San Francisco<br>136<br>167<br>06<br>82<br>San Jose<br>140<br>Tampa<br>98<br>a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals).<br>b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals).<br>$<br>128 to $ 149.77<br>c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals).<br>$ 110.69 to $ 188.84<br>

Extracted text: The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (x) and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation ŷ = 17.49 + 1.0334x. For these data SSE = 1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Room Rate Entertainment City ($) (s) Boston 148 161 Denver 96 105 Nashville 91 101 New Orleans 110 142 Phoenix 90 100 San Diego 102 120 San Francisco 136 167 06 82 San Jose 140 Tampa 98 a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals). $ 128 to $ 149.77 c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals). $ 110.69 to $ 188.84
TABLE 4 F DISTRIBUTION<br>Area or<br>probability<br>F.<br>Entries in the table give Fa values, where a is the area or probability in the upper tail of the F distribution. For example, with 4 numerator degrees of freedom,<br>8 denominator degrees of freedom, and a .05 area in the upper tail, F9s = 3.84.<br>Denominat tor<br>Area in<br>Numerator Degrees of Free dom<br>Degrees<br>of Freed om<br>Upper<br>Tail<br>1<br>2<br>3.<br>5<br>6.<br>7<br>10<br>15<br>20<br>25<br>30<br>40<br>60<br>100<br>100<br>39.86<br>59.86<br>240.54<br>.10<br>49.50<br>53.59<br>55.83<br>57.24<br>58.20<br>58.91<br>59.44<br>60.19<br>61.22<br>61.74<br>62.05<br>62.26<br>62.53<br>62.79<br>6301<br>63.30<br>05<br>161.45<br>199.50<br>215.71<br>224.58<br>230.16<br>233.99<br>236.77<br>238.88<br>241.88<br>245.95<br>248.02<br>249.26<br>250.10<br>251.14<br>252.20<br>253.04<br>254.19<br>984.87<br>1005.60<br>6286.43<br>025<br>647.79<br>799.48<br>864.15<br>899.60<br>921.83<br>937.11<br>948.20<br>956.64<br>963.28<br>968.63<br>993.08<br>998.09<br>1001 40<br>1009.79<br>1013.16<br>6333.92<br>1017.76<br>4052.18 4999.34 5403.53 5624.26 5763.96 5858.95 5928.33<br>5980.95 6022.40 6055.93 6156.97<br>6208.66<br>6239.86<br>6260.35<br>6312.97<br>6362.80<br>10<br>8.53<br>9.00<br>9.16<br>9.24<br>9.29<br>9.33<br>9.35<br>9.37<br>9.38<br>9.39<br>9.42<br>9,44<br>9.45<br>9.46<br>9,47<br>947<br>9.48<br>9.49<br>05<br>1851<br>19.00<br>19.16<br>19.25<br>19.30<br>19.33<br>19.35<br>19.37<br>19.38<br>19.40<br>1943<br>19,45<br>19.46<br>19.46<br>19,47<br>19.48<br>1949<br>19.49<br>025<br>38.51<br>39,00<br>39,17<br>39.25<br>39.30<br>39.33<br>39.36<br>39.37<br>39.39<br>39,40<br>39.43<br>39.45<br>39 46<br>39.46<br>39,47<br>39 48<br>39.49<br>39.50<br>01<br>98.50<br>9900<br>99.16<br>99.25<br>99.30<br>99.33<br>99.36<br>99.38<br>99.39<br>99,40<br>9943<br>99.45<br>99,46<br>99,47<br>99,48<br>99 48<br>99,49<br>99.50<br>.10<br>5.54<br>5.46<br>5,39<br>5.34<br>5.31<br>5,28<br>5.27<br>5.25<br>5.24<br>5.23<br>5.20<br>5. 18<br>5,17<br>5,17<br>5. 16<br>5.15<br>5.14<br>5.13<br>05<br>10.13<br>9.55<br>9.28<br>9.12<br>9.01<br>8.94<br>8.89<br>8.85<br>8.81<br>8.79<br>8,70<br>8,66<br>8.63<br>8,62<br>8,59<br>8.57<br>8.55<br>8.53<br>025<br>17.44<br>16.04<br>15.44<br>15.10<br>14.88<br>14,73<br>14.62<br>14.54<br>14,47<br>14.42<br>14.25<br>14.17<br>14.12<br>14.08<br>14.04<br>13.99<br>13.96<br>13.91<br>01<br>34.12<br>30.82<br>29.46<br>28.71<br>28.24<br>27.91<br>27.67<br>27.49<br>27.34<br>27.23<br>26.87<br>26.69<br>26.58<br>26.50<br>26.41<br>26.32<br>26.24<br>26.14<br>.10<br>4.54<br>4.32<br>4.19<br>4.11<br>4.05<br>4.01<br>3.98<br>3.95<br>3.94<br>3.92<br>3.87<br>3.84<br>3.83<br>3.82<br>3.80<br>3.79<br>3.78<br>3.76<br>05<br>7.71<br>6.94<br>6.59<br>6.39<br>6.26<br>6.16<br>6.09<br>6.04<br>6.00<br>5.96<br>5.86<br>5.80<br>5.77<br>5.75<br>5.72<br>5.69<br>5.66<br>5.63<br>025<br>12.22<br>10.65<br>9.98<br>9.60<br>9.36<br>9.20<br>9.07<br>8,98<br>8.90<br>8.84<br>8.66<br>8.56<br>8.50<br>8.46<br>8.41<br>8.36<br>8.32<br>8.26<br>.01<br>21.20<br>18.00<br>16.69<br>13.98<br>15.52<br>15.21<br>14.98<br>14.80<br>14.66<br>14.55<br>14.20<br>14.02<br>13.91<br>13.84<br>13.75<br>13.65<br>13.58<br>13.47<br>.10<br>.05<br>4.06<br>3,78<br>3.62<br>3.52<br>3.45<br>3,40<br>3.37<br>3.34<br>3.32<br>3,30<br>3,324<br>3.21<br>3.19<br>3.17<br>3.16<br>3.14<br>3. 13<br>3.11<br>6.61.<br>5.79<br>5.41<br>5. 19<br>5.06<br>4.95<br>4, 88<br>4,82<br>4.77<br>4.74<br>4.62<br>4.56<br>4.52<br>4.50<br>4,46<br>4,43<br>4,41<br>4,37<br>7.39<br>7. 15<br>10.97<br>025<br>10,01<br>8.43<br>7,76<br>6,98<br>6.85<br>6.76<br>6,68<br>6,62<br>6,43<br>6.33<br>6.27<br>6.23<br>6.18<br>6.12<br>6.08<br>6,02<br>.01<br>16.26<br>13.27<br>12.06<br>11.39<br>10.67<br>10.46<br>10.29<br>10. 16<br>10.05<br>9.72<br>9.55<br>945<br>9.38<br>9.29<br>9.20<br>9.13<br>9.03<br>

Extracted text: TABLE 4 F DISTRIBUTION Area or probability F. Entries in the table give Fa values, where a is the area or probability in the upper tail of the F distribution. For example, with 4 numerator degrees of freedom, 8 denominator degrees of freedom, and a .05 area in the upper tail, F9s = 3.84. Denominat tor Area in Numerator Degrees of Free dom Degrees of Freed om Upper Tail 1 2 3. 5 6. 7 10 15 20 25 30 40 60 100 100 39.86 59.86 240.54 .10 49.50 53.59 55.83 57.24 58.20 58.91 59.44 60.19 61.22 61.74 62.05 62.26 62.53 62.79 6301 63.30 05 161.45 199.50 215.71 224.58 230.16 233.99 236.77 238.88 241.88 245.95 248.02 249.26 250.10 251.14 252.20 253.04 254.19 984.87 1005.60 6286.43 025 647.79 799.48 864.15 899.60 921.83 937.11 948.20 956.64 963.28 968.63 993.08 998.09 1001 40 1009.79 1013.16 6333.92 1017.76 4052.18 4999.34 5403.53 5624.26 5763.96 5858.95 5928.33 5980.95 6022.40 6055.93 6156.97 6208.66 6239.86 6260.35 6312.97 6362.80 10 8.53 9.00 9.16 9.24 9.29 9.33 9.35 9.37 9.38 9.39 9.42 9,44 9.45 9.46 9,47 947 9.48 9.49 05 1851 19.00 19.16 19.25 19.30 19.33 19.35 19.37 19.38 19.40 1943 19,45 19.46 19.46 19,47 19.48 1949 19.49 025 38.51 39,00 39,17 39.25 39.30 39.33 39.36 39.37 39.39 39,40 39.43 39.45 39 46 39.46 39,47 39 48 39.49 39.50 01 98.50 9900 99.16 99.25 99.30 99.33 99.36 99.38 99.39 99,40 9943 99.45 99,46 99,47 99,48 99 48 99,49 99.50 .10 5.54 5.46 5,39 5.34 5.31 5,28 5.27 5.25 5.24 5.23 5.20 5. 18 5,17 5,17 5. 16 5.15 5.14 5.13 05 10.13 9.55 9.28 9.12 9.01 8.94 8.89 8.85 8.81 8.79 8,70 8,66 8.63 8,62 8,59 8.57 8.55 8.53 025 17.44 16.04 15.44 15.10 14.88 14,73 14.62 14.54 14,47 14.42 14.25 14.17 14.12 14.08 14.04 13.99 13.96 13.91 01 34.12 30.82 29.46 28.71 28.24 27.91 27.67 27.49 27.34 27.23 26.87 26.69 26.58 26.50 26.41 26.32 26.24 26.14 .10 4.54 4.32 4.19 4.11 4.05 4.01 3.98 3.95 3.94 3.92 3.87 3.84 3.83 3.82 3.80 3.79 3.78 3.76 05 7.71 6.94 6.59 6.39 6.26 6.16 6.09 6.04 6.00 5.96 5.86 5.80 5.77 5.75 5.72 5.69 5.66 5.63 025 12.22 10.65 9.98 9.60 9.36 9.20 9.07 8,98 8.90 8.84 8.66 8.56 8.50 8.46 8.41 8.36 8.32 8.26 .01 21.20 18.00 16.69 13.98 15.52 15.21 14.98 14.80 14.66 14.55 14.20 14.02 13.91 13.84 13.75 13.65 13.58 13.47 .10 .05 4.06 3,78 3.62 3.52 3.45 3,40 3.37 3.34 3.32 3,30 3,324 3.21 3.19 3.17 3.16 3.14 3. 13 3.11 6.61. 5.79 5.41 5. 19 5.06 4.95 4, 88 4,82 4.77 4.74 4.62 4.56 4.52 4.50 4,46 4,43 4,41 4,37 7.39 7. 15 10.97 025 10,01 8.43 7,76 6,98 6.85 6.76 6,68 6,62 6,43 6.33 6.27 6.23 6.18 6.12 6.08 6,02 .01 16.26 13.27 12.06 11.39 10.67 10.46 10.29 10. 16 10.05 9.72 9.55 945 9.38 9.29 9.20 9.13 9.03
Jun 11, 2022
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