he linear correlation between an independent (x) and dependent (y) variable a. is the foundation for simple (bivariate) regression b. does not indicate a causal relationship, though one might exist c. can be direct, inverse, or nonexistent d. can be used to predict the value of y for any observed value of x e. all of the above f. none of the above