Assuming the Two Predictors X₁ and X₂ Are Not Correlated $\hat{ß}$

Multiple Choice

Assuming the two predictors X₁ and X₂ are not correlated, the coefficients of partial regression, $\hat{ß}$ _Y1.2 and $\hat{ß}$ _Y2.1, can be interpreted as

A) the unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant.
B) the change in the criterion variable associated with an average change in the predictor variables.
C) the average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant.
D) the average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant.
E) the average change in the criterion variable associated with a unit change in the appropriate predictor variable.