Open AccessAN INVESTIGATION OF THE FIT OF LINEAR REGRESSION MODELS TO DATA FROM AN SAT ® VALIDITY STUDY
Author(s) -
Kobrin Jennifer L.,
Sinharay Sandip,
Haberman Shelby J.,
Chajewski Michael
Publication year - 2011
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.2011.tb02255.x
Subject(s) - linear regression , statistics , regression analysis , mathematics , proper linear model , linear model , regression , regression diagnostic , log linear model , bayesian multivariate linear regression
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.