If there is no association between two variables,knowledge of the independent variable
A)causes us to make more prediction errors.
B)improves the accuracy of our predictions.
C)does not change the number of errors of prediction.
D)makes prediction of the dependent variable impossible.

Question

Quizplus · Accepted Answer

If there is no association between two variables, knowledge of the independent variable will not improve the accuracy of our predictions, nor will it cause us to make more prediction errors. This is because without an association, there is no relationship or pattern to predict from, and therefore our predictions will be no better than chance. However, knowing the independent variable may still be useful for other purposes, such as understanding the context or underlying factors of the situation.

If There Is No Association Between Two Variables,knowledge of the Independent