The Linear Regression procedure is useful for modeling the relationship between a scale dependent variable and one or more scale independent variables.

- Use the Correlations procedure to study the strength of relationships between the variables before fitting a model.
- If you have categorical predictor variables, try the GLM Univariate procedure.
- If your dependent variable is categorical, try the Discriminant Analysis procedure.
- If you have a lot of predictors and want to reduce their number, use the Factor Analysis procedure.