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.
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If you have a lot of predictors and want to reduce their number, use the
Factor Analysis
procedure.