The multiple regression analysis expands the simple linear regression to allow for multiple independent (predictor) variables. The model created now includes two or more predictor variables, but still contains a single dependent (criterion) variable.
Running Multiple Linear Regression in SPSS
Reporting Results in APA Style
A multiple regression was run to predict job satisfaction from salary, years of experience, and perceived appreciation. This resulted in a significant model, F(3, 72) = 16.2132, p < .01, R2 = .638. The individual predictors were examined further and indicated that salary (t = 9.21, p < .01) and perceived appreciation (t = 15.329, p < .001) were significant predictors but, years of experience was not (t = 1.16, p = .135).