Consider the following partial computer output for a multiple regression model. $$\begin{array} { l c c }
\text { Predictor } & \text { Coefficient } & \text { Standard Deviation } \
\text { Constant } & 41.225 & 6.380 \
\mathrm { X } _ { 1 } & 1.081 & 1.353 \
\mathrm { X } _ { 2 } & - 18.404 & 4.547
\end{array}$$ Analysis of Variance $$\begin{array} { l r c }
\text { Source } & \underline { \mathrm { DF } } & \underline { \mathrm { SS } } \
\text { Regression } & 2 & 2270.11 \
\text { Error (residual) } & 26 & 3585.75
\end{array}$$
-What is the total sum of squares (total variation)?

Question

Consider the following partial computer output for a multiple regression model. $$\begin{array} { l c c } 
\text { Predictor } & \text { Coefficient } & \text { Standard Deviation } \
\text { Constant } & 41.225 & 6.380 \
\mathrm { X } _ { 1 } & 1.081 & 1.353 \
\mathrm { X } _ { 2 } & - 18.404 & 4.547
\end{array}$$ Analysis of Variance $$\begin{array} { l r c } 
\text { Source } & \underline { \mathrm { DF } } & \underline { \mathrm { SS } } \
\text { Regression } & 2 & 2270.11 \
\text { Error (residual) } & 26 & 3585.75
\end{array}$$
-What is the total sum of squares (total variation)?

Quizplus · Accepted Answer

The Answer of Consider the following partial computer output for a multiple regression model. $$\begin{array} { l c c } 
\text { Predictor } & \text { Coefficient } & \text { Standard Deviation } \
\text { Constant } & 41.225 & 6.380 \
\mathrm { X } _ { 1 } & 1.081 & 1.353 \
\mathrm { X } _ { 2 } & - 18.404 & 4.547
\end{array}$$ Analysis of Variance $$\begin{array} { l r c } 
\text { Source } & \underline { \mathrm { DF } } & \underline { \mathrm { SS } } \
\text { Regression } & 2 & 2270.11 \
\text { Error (residual) } & 26 & 3585.75
\end{array}$$
-What is the total sum of squares (total variation)?

Consider the Following Partial Computer Output for a Multiple Regression