According to the logic of proportional reduction of error (PRE), if two variables are associated then information about the independent variable

a. eliminates errors in the prediction of the dependent variable
b. reduces the number of errors in predicting the dependent variable.
c. has no effect on the ability to predict the dependent variable.
d. decreases errors of prediction for negative relationships and increases errors for positive relationships.