Below is a partial multiple regression ANOVA table.
$$\begin{array} { l l l }
\text { Source } & \text { SS } & \text { df } \
\text { Model } & 0.242 & 2 \
\text { Error } & 0.105 & 3
\end{array}$$
-What is the total sum of squares (total variation)?
A).210
B).105
C).035
D).242
E).347

Question

Below is a partial multiple regression ANOVA table.
$$\begin{array} { l l l } 
\text { Source } & \text { SS } & \text { df } \
\text { Model } & 0.242 & 2 \
\text { Error } & 0.105 & 3
\end{array}$$
-What is the total sum of squares (total variation)?
A).210
B).105
C).035
D).242
E).347

Quizplus · Accepted Answer

The total sum of squares (total variation) is obtained by adding the sum of squares for the model (SS Model) and the sum of squares for the error (SS Error). Thus, 0.242 (Model SS) + 0.105 (Error SS) = 0.347.

Below Is a Partial Multiple Regression ANOVA Table Source SS df Model 0.2422 Error 0.1053\begin{array} { l l l } \text { Source } & \text { SS } & \text { df } \\\text { Model } & 0.242 & 2 \\\text { Error } & 0.105 & 3\end{array} Source Model Error ​ SS 0.2420.105​ df 23​

Below Is a Partial Multiple Regression ANOVA Table $\begin{array} { l l l } \text { Source } & \text { SS } & \text { df } \\\text { Model } & 0.242 & 2 \\\text { Error } & 0.105 & 3\end{array}$