Multiple linear regression allows researchers to predict or to explain the variance of a response variable using multiple predictors. For instance, college GPA can be predicted based on SAT scores, the amount of time spent studying, variables measuring students’ motivation, etc. This procedure allows researchers to compare the predictive power of each explanatory variable, to identify the strongest predictors and eliminate the ones that are not statistically significant. The following narrated presentation shows how to conduct multiple linear regression using the stepwise approach. It explains how to estimate regression parameters, the inferences that can be made based on multiple regression, and how to determine whether regression parameters are statistically significant. The software tutorial demonstrates how to conduct a stepwise multiple regression in SPSS.
Diana Mindrila, Ph.D.
Phoebe Balentyne, M.Ed.