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.

Question

Quizplus · Accepted Answer

According to the PRE, information about the independent variable reduces the number of errors in predicting the dependent variable. However, it does not completely eliminate errors. Therefore, option A is incorrect. Option C is also incorrect as information about the independent variable does have an effect on the ability to predict the dependent variable. Option D is incorrect as it presents a false dichotomy between positive and negative relationships, and PRE applies to all types of associations between variables.

According to the Logic of Proportional Reduction of Error (PRE),if