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 total sum of squares (total variation)?
A)535.9569
B)1167.5634
C)18.9886
D)3459.68
E)5,182.19

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 total sum of squares (total variation)?
A)535.9569
B)1167.5634
C)18.9886
D)3459.68
E)5,182.19

Quizplus · Accepted Answer

The total sum of squares (total variation) is calculated by adding the sum of squares for each variable ($X_1, X_2, X_3$) and the error term. So, $535.9569 + 1,167.5634 + 18.9886 + 3,459.6803 = 5,182.1892$.

Below Is a Partial Multiple Regression ANOVA Table -What Is the Total Sum of Squares (Total Variation)? A)535

Below Is a Partial Multiple Regression ANOVA Table -What Is the Total Sum of Squares (Total Variation)?
A)535