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.