The Bivariate Correlations procedure is useful for studying the
pairwise associations for a set of
scale or
ordinal variables.
-
If you have nominal variables, use the
Crosstabs
procedure to obtain measures of association.
-
If you want to model the value of a scale variable based on its linear relationship to other
variables, try the
Linear Regression
procedure.
-
If you want to decompose the variation in your data to look for underlying patterns, try the
Factor Analysis
procedure.