The Simple Linear Regression is used to create a predictive model using one independent variable and one dependent variable. In a regression analysis, the independent variable may also be referred to as the predictor variable, while the dependent variable may be referred to as the criterion or outcome variable. The regression analysis builds on the simple correlational analysis, moving from a measure of relationship to one with predictive abilities.
Running Simple Linear Regression in SPSS
Interpreting the Output
Reporting Results in APA Style
A simple linear regression was calculated to predict job satisfaction from perceived appreciation. A significant regression equation was found (F(1,18) = 16.2132, p < .01) with an R2 of .516.