Develop a logistic regression model for predicting if the respondent is outgoing in adulthood. Use cross-validation to

Question:

Develop a logistic regression model for predicting if the respondent is outgoing in adulthood. Use cross-validation to select the appropriate predictor variables. In order to estimate this model, you have to first handle missing observations using the missing or the imputation strategy.

 

IDAgeUrbanMother_EduFather_EduSiblingsBlackHispanicWhiteChristianWomenPlaceMaleFamilySizeSelf_EsteemHeightWeightOutgoing_KidOutgoing_AdultHealthPlanIncomeMarital_StatusEducationWeeksEmployedNumberSpouses
12118810011005
65








220158800111051662120011011201
318110123001100520

1110112521
4171111230011005
6711001





52011212100110142363130







6191121210011014276420011140000116521
7151121210011013266513101125000312522
82119670010003236517911127400313522
9161121040011016266614511152000114521
10191121230011003196611501





11201121210011013
7115511155000016520
12201151230011003306611801





13211121620011015257118001160000216521
14161121220011005216713511148000218521
151511212100110142373185101011601
16211121230011004256313011138000113521
17221121520010012246916011048000013521
182111216200100112869155111120000313522
19221101230011002286412011





Fantastic news! We've Found the answer you've been seeking!

Step by Step Answer:

Related Book For  book-img-for-question

Business Analytics

ISBN: 9781265897109

2nd Edition

Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen

Question Posted: