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An Investigation of the Fit of Linear Regression Models to Data From an SAT Validity Study SAT GPA

Kobrin, Jennifer L.; Sinharay, Sandip; Haberman, Shelby J.; Chajewski, Michael
Publication Year:
Report Number:
RR-11-19, CBR-2011-3
ETS Research Report
Document Type:
Page Count:
Subject/Key Words:
SAT, College Board, Linear Regression, Model Fit, Validity Study, Grade Point Average (GPA)


This study examined the adequacy of a multiple linear regression model for predicting first-year college grade point average (FYGPA) using SAT scores and high school grade point average (HSGPA). A variety of techniques, both graphical and statistical, were used to examine if it is possible to improve on the linear regression model. The results suggest that the linear regression model mostly provides an adequate fit to the data and that more complicated models do not significantly improve the prediction of FYGPA from SAT scores and HSGPA.

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