Getting Started with SPSS

Linear Regression is used to explain or predict the value of a dependent variable in terms of the value of one or more independent variables.

1. From the menu, choose Analyze > Regression > Linear. The “Linear Regression” dialog box will appear.
2. Add dependent variable to the Dependent box.
3. Add independent variable(s) to the Independent(s) box.
4. Click OK.

The output should look something like this:

The Model Summary table provides the R² value, which indicates how much of the total variation in the dependent variable can be explained by the independent variable. In this example, only 38.1% can be explained by the variables in the regression model.

The ANOVA table describes the overall variance accounted for in the model. Here, the p-value(sig.) is less than 0.01, indicating that the overall regression model significantly explained the dependent variable.

The Coefficients table provides information about the effects of individual predictor variables.