This tutorial demonstrates step-by step methods for running a simple linear regression in SPSS. Linear regression uses the values of one or more predictive variables, known as independent variable to predict the value of a dependent or response variable. This is sometimes referred to creating a linear model since the resulting equation of a line can be used to predict values of the dependent variable.
Linear regression relies on a number of assumptions to create a valid model.
This tutorial demonstrates both running the regression model and testing the regression assumptions to ensure model validity.
An Excel version of the data used can be downloaded here.