Assuming the two predictors X₁and X₂are not correlated, the coefficients of partial regression can be interpreted as the A) unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. B) change in the criterion variable associated with an average change in the predictor variables. C) average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. D) average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant. E) average change in the criterion variable associated with a unit change in the appropriate predictor variable.

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The Answer of Assuming the two predictors X₁and X₂are not correlated, the coefficients of partial regression can be interpreted as the A) unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. B) change in the criterion variable associated with an average change in the predictor variables. C) average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. D) average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant. E) average change in the criterion variable associated with a unit change in the appropriate predictor variable.

Assuming the Two Predictors X1 and X2 are Not Correlated

Assuming the Two Predictors X₁and X₂are Not Correlated