Bivariate regression is the next step up after correlation. It is used when we want to predict a variable's value based on another variable's value. In this session, Dr. Taylor discusses (1) the four scales of measurement, (2) describes the conditions for using bivariate regression, (3) identifies data assumptions surrounding bivariate regression, how to assess and address violations using SPSS, (4) shows how to conduct bivariate regression using SPSS, (5) explains SPSS output/results, and (6) shows how to write an APA-compliant results section based on the SPSS output, including appropriate tables and figures.
