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ERIC Number: ED521177
Record Type: Non-Journal
Publication Date: 2011
Pages: 28
Abstractor: As Provided
Reference Count: 15
An Investigation of the Fit of Linear Regression Models to Data from an SAT[R] Validity Study. Research Report 2011-3
Kobrin, Jennifer L.; Sinharay, Sandip; Haberman, Shelby J.; Chajewski, Michael
College Board
This study examined the adequacy of a multiple linear regression model for predicting first-year college grade point average (FYGPA) using SAT[R] 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. (Contains 7 tables and 10 figures.)
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Publication Type: Numerical/Quantitative Data; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: College Board
Identifiers - Assessments and Surveys: SAT (College Admission Test)