he linear correlation between an indepewhen using correlation for prediction, a. negative correlations are not udeful b. causation may not be important if the predictions are reliably accurate c. correlation coefficients close to zero are ideal d. there is no need to construct a prediction interval e. all of the above f. none of the abovendent (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