Microsoft Word - Quiz3.docxQuiz3byJamesD.Wilson(UniversityofSanFrancisco)1. You fit a regressionmodel to two different data sets at once (you’re a...

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This topic is about shrinkage method, ridge and lasso method, and diagnostic.


Microsoft Word - Quiz3.docx Quiz3 byJamesD.Wilson(UniversityofSanFrancisco) 1. You fit a regressionmodel to two different data sets at once (you’re a greatmulti- tasker),andlookatthequantile-quantile(qq)plotsofthestandardizedresidualsfor eachfit.Theseareshownabove. (a) Comment(briefly)onthemodelassumptionsofthelinearregressionmodelforFit 1andFit2. (b) Whattransformation(ifany)wouldyouapplyto thedatasets foreach fit?Give justificationforyourchoices. (c) Let’snowfocusonthedataassociatedwithFit2.Onewaytoformallytestwhether ornottheresidualsarenormalistousetheKolmogorov-Smirnov(K-S)hypothesis test.Thenullhypothesisofthetestisthattheerrorsarenormallydistributed. Youtry(forhours)manytransformationsontheresponsevariableassociatedwith Fit2andnomatterhowmuchyoutry,youkeeprejectingthenullhypothesisofthe K-S test. You decide to stop trying and livewith the fact that you cannot get a satisfactoryresultfromthetest.Describespecificallytheeffectsthatthisresulthas onthepropertiesoftheleastsquaresestimatorsofyourfittedregressionmodel. Cassia Magsie Cassia Magsie Cassia Magsie Cassia Magsie Cassia Magsie 1 2. Now you fit three regression models on three different data sets and look at the residualsagainstthefittedvalues.Theseareshownabove. (a) Discusseachplotandwhattheysuggestaboutthemodelassumptionsforeachfit. (b) Describehowyouwouldgoaboutaddressingthediagnosesyoumadein(a). 3. Letβ1be the LASSO coefficient estimateswhenλ=1 and letβ100be the LASSO coefficientestimatesfromthesamedatawhenλ=100.Whatcanwesayabouthowthe L1-normofβ1compareswiththatofβ100? 4. SupposeHankcreatedanEtsywebsite to sell craftbowties.He collectsdataon 1000peoplevisitinghiswebsiteandrecords1200differentpiecesofinformationfor eachperson(age,clicks,howdidtheyenduponhissite,howmanybowtiestheylooked at,etc).LetXdenotethe1000×1200datamatrixrepresentingthisdata.Heisinterested inunderstandingtherelationshipofthe1200characteristicsherecordedwiththetime ittakeshimtosellacraftbowtie(Y).Answerthefollowingquestions: (a) Whatcanyousayabout(XTX)−1? (b) Name3methodsyoucouldusefordevelopingapredictivemodelthatpredictsthe timetosellacraftbowtieasafunctionofX. (c) SayyoufitaLASSOregressionofYonXandfindthattheLASSOestimatorforage is0.50.Whatdoesthissayabouttheeffectofageonthetimeittakestosellacraft bowtie? (d) SayyoufitaRidgeregressionofYonXandfindthattheRidgeestimatorforageis 0.25.Whatdoesthissayabouttheeffectofageonthetimeittakestosellacraft bowtie?
Answered Same DayNov 17, 2022

Answer To: Microsoft Word - Quiz3.docxQuiz3byJamesD.Wilson(UniversityofSanFrancisco)1. You...

Banasree answered on Nov 17 2022
39 Votes
Ans.
1.a)
Fit – 1 = 1. Optimization condition was two tailed (-2,0,+2)
     2. Recommended fit m
odel refer to the QQ plot.
Fit – 2 = 1. Optimization condition was single tailed positive value.
    2. Research data analysis needed to be reviewed.
b) Transformation
Fit model – 1 = λ - Optimal
Fit model – 2 = λ = 0 Natural Log
c) K-S test parameters: Is to check the underlying probability distribution differs from a hypothesis distribution. Null hypothesis represents that probability differs. Test results error in view of null hypothesis error evident that there’s no underlying probability difference.
2. Ans.
It is...
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