In an ANOVA table for a multiple regression analysis,the mean square of error is
A)the treatment sum of squares divided by the regression degrees of freedom.
B)n - (k - 1 ).
C)the regression sum of squares divided by the regression degrees of freedom.
D)total sum of squares divided by the regression degrees of freedom.

Question

Quizplus · Accepted Answer

The mean square of error (MSE) is calculated by dividing the residual sum of squares (RSS) by the residual degrees of freedom (n-k-1) where n is the number of observations and k is the number of predictors in the model. This gives an estimate of the variance of the errors in the model. Therefore, choice C is the correct answer as it describes the calculation of MSE in a multiple regression ANOVA table.

In an ANOVA Table for a Multiple Regression Analysis,the Mean