Below is a partial multiple regression ANOVA table.
$$\begin{array} { l l l }
\text { Source } & \text { SS } & \text { df } \
\mathrm { X } _ { 1 } & 535.9569 & 1 \
\mathrm { X } _ { 2 } & 1,167.5634 & 1 \
\mathrm { X } _ { 3 } & 18.9886 & 1 \
\text { Error } & 3,459.6803 & 8
\end{array}$$
-What is the mean square error?
A)3459.68
B)432.46
C)1898.86
D)1167.56
E)535.96

Question

Below is a partial multiple regression ANOVA table.
$$\begin{array} { l l l } 
\text { Source } & \text { SS } & \text { df } \
\mathrm { X } _ { 1 } & 535.9569 & 1 \
\mathrm { X } _ { 2 } & 1,167.5634 & 1 \
\mathrm { X } _ { 3 } & 18.9886 & 1 \
\text { Error } & 3,459.6803 & 8
\end{array}$$
-What is the mean square error?
A)3459.68
B)432.46
C)1898.86
D)1167.56
E)535.96

Quizplus · Accepted Answer

The mean square error (MSE) is calculated by dividing the sum of squared errors (SS Error) by the degrees of freedom (df) for the error. In this case, MSE = 3459.6803 / 8 = 432.46.

Below Is a Partial Multiple Regression ANOVA Table -What Is the Mean Square Error? A)3459

Below Is a Partial Multiple Regression ANOVA Table -What Is the Mean Square Error?
A)3459