Below is a partial multiple regression computer output.
$$\begin{array} { l l l }
\text { Source } & \text { SS } & \text { df } \
\text { Model } & 32,774 & 5 \
\text { Error } & 21,886 & 292 \
\text { Total } & 54,660 & 297
\end{array}$$
-What is the value of the mean squared error?
A)74.952
B)32.774
C)21.886
D)65.554
E)87.453

Question

Below is a partial multiple regression computer output.
$$\begin{array} { l l l } 
\text { Source } & \text { SS } & \text { df } \
\text { Model } & 32,774 & 5 \
\text { Error } & 21,886 & 292 \
\text { Total } & 54,660 & 297
\end{array}$$
-What is the value of the mean squared error?
A)74.952
B)32.774
C)21.886
D)65.554
E)87.453

Quizplus · Accepted Answer

The mean squared error (MSE) is calculated by dividing the sum of squares for error (SS Error) by the degrees of freedom for error (df Error). Here, MSE = 21,886 / 292 = 74.952.

Below Is a Partial Multiple Regression Computer Output -What Is the Value of the Mean Squared Error? A)74

Below Is a Partial Multiple Regression Computer Output -What Is the Value of the Mean Squared Error?
A)74