Overview

This chapter shows how to perform multiple regression analysis to investigate the relationship between a continuous criterion variable and multiple continuous predictor variables. It describes the different components of the multiple regression equation, and discusses the meaning of R² and other results from a multiple regression analysis. It shows how bivariate correlations, multiple regression coefficients, and uniqueness indices can be reviewed to assess the relative importance of predictor variables. Fictitious data are examined using PROC CORR and PROC REG to show how the analysis can be conducted and to illustrate how the results can be summarized in tables and in text.