Consider the following partial computer output for a multiple regression model. $$\begin{array} { l l l }
\text { Predictor } & \text { Coefficient } \left( \mathrm { b } _ { \mathrm { i } } \right) & \text { Standard Dev } \left( \mathrm { s } _ { \mathrm { b } } \right) \
\text { Constant } & 99.3883 & \
\text { X1 } & - 0.007207 & 0.0031 \
\text { X2 } & 0.0011336 & 0.00122 \
\text { X3 } & 0.9324 & 0.373 \
& & \
\text { Analysis of Variance } & & \text { SS } \
\text { Source } & \text { df } & 31.308 \
\text { Regression } & 3 & 9.378
\end{array}$$
-What is the total sum of squares,explained variation,and mean square error?

Question

Consider the following partial computer output for a multiple regression model. $$\begin{array} { l l l } 
\text { Predictor } & \text { Coefficient } \left( \mathrm { b } _ { \mathrm { i } } \right) & \text { Standard Dev } \left( \mathrm { s } _ { \mathrm { b } } \right) \
\text { Constant } & 99.3883 & \
\text { X1 } & - 0.007207 & 0.0031 \
\text { X2 } & 0.0011336 & 0.00122 \
\text { X3 } & 0.9324 & 0.373 \
& & \
\text { Analysis of Variance } & & \text { SS } \
\text { Source } & \text { df } & 31.308 \
\text { Regression } & 3 & 9.378
\end{array}$$
-What is the total sum of squares,explained variation,and mean square error?

Quizplus · Accepted Answer

The Answer of Consider the following partial computer output for a multiple regression model. $$\begin{array} { l l l } 
\text { Predictor } & \text { Coefficient } \left( \mathrm { b } _ { \mathrm { i } } \right) & \text { Standard Dev } \left( \mathrm { s } _ { \mathrm { b } } \right) \
\text { Constant } & 99.3883 & \
\text { X1 } & - 0.007207 & 0.0031 \
\text { X2 } & 0.0011336 & 0.00122 \
\text { X3 } & 0.9324 & 0.373 \
& & \
\text { Analysis of Variance } & & \text { SS } \
\text { Source } & \text { df } & 31.308 \
\text { Regression } & 3 & 9.378
\end{array}$$
-What is the total sum of squares,explained variation,and mean square error?

Consider the Following Partial Computer Output for a Multiple Regression