Abstract Details
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Activity Number:
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441
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Type:
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Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 2:00 PM to 3:50 AM
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Sponsor:
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Business and Economic Statistics Section
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| Abstract - #307651 |
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Title:
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An Example Using Excel Stepwise Regression to Forecast High-Risk Automobile Losses
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Author(s):
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Kris Moore and Jonathan Trower*+
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Companies:
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Baylor University
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Keywords:
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multiple regression ;
stepwise regression ;
automobile loan losses
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Abstract:
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A multiple regression model to predict losses on high risk automobile loans is found using stepwise regression and seven independent variables for 769 loans. The independent variables used were A. P. R. (annual percentage rate), amount financed, automobile mileage, down payment, credit rating (Auto Zoom), pass time device, and whether or not the customer had a previous repossession.
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Authors who are presenting talks have a * after their name.
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