Logistic Regression

Individual Assignment on Logistic Regression

Please submit a soft copy of your homework (typed answers in this word document and attach the SPSS output file to ).

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The National Bank of Fort Worth, Texas wants to examine methods for predicting sub-par payment performance on loans. They have data on unsecured consumer loans made over a 3-day period in October 2013 with a final maturity of 2 years. There are a total of 348 observations in the sample. The data, which have been transformed to provide confidentiality, include the following:

PAST DUE: Coded as 1 if the loan payment is past due and zero otherwise

GB SCORE: Score generated by the CSC Credit reporting agency from 400 to 839 with higher values indicating better credit rating

DEBT: Debt ratio is calculated by taking required monthly payments on all debt and dividing it by gross monthly income of the applicant and co-applicant. This ratio represents the amount of the applicant’s income that will go towards the repayment of debt

GROSS INC: Gross monthly income of applicant and co-applicant

LOAN AMT: Loan Amount

You have been asked to examine the feasibility of predicting past-due loan payments. Report your results to the bank in a two-part report. The report should include an executive summary with a brief non-technical description of your results (less than 1-page) and an accompanying technical report with the details of your analysis. The data are in an excel file posted on eLearn.

For the report, you should consider the following: Use of logistic to analyze the data; appropriate variables which are useful in predicting performance; the hit-rate in the estimation sample and how it compares with appropriate benchmark criteria.

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