A regression analysis involving 40 observations and five independent variables revealed that the total variation in the dependent variable y is 1080 and that the mean square for error is 30. $$\begin{array} { | l | r c c c | }
\hline \text { Source of Variation } & d f & \text { SS } & \text { MS } & F \
\hline \text { Regression } & 5 & 60 & 12 & 0.40 \
\text { Error } & 34 & 1020 & 30 & \
\hline \text { Total } & 39 & 1080 & & \
\hline
\end{array}$$ Test the significance of the overall equation at the 5% level of significance.

Question

A regression analysis involving 40 observations and five independent variables revealed that the total variation in the dependent variable y is 1080 and that the mean square for error is 30. $$\begin{array} { | l | r c c c | } 
\hline \text { Source of Variation } & d f & \text { SS } & \text { MS } & F \
\hline \text { Regression } & 5 & 60 & 12 & 0.40 \
\text { Error } & 34 & 1020 & 30 & \
\hline \text { Total } & 39 & 1080 & & \
\hline
\end{array}$$ Test the significance of the overall equation at the 5% level of significance.

Quizplus · Accepted Answer

The Answer of A regression analysis involving 40 observations and five independent variables revealed that the total variation in the dependent variable y is 1080 and that the mean square for error is 30. $$\begin{array} { | l | r c c c | } 
\hline \text { Source of Variation } & d f & \text { SS } & \text { MS } & F \
\hline \text { Regression } & 5 & 60 & 12 & 0.40 \
\text { Error } & 34 & 1020 & 30 & \
\hline \text { Total } & 39 & 1080 & & \
\hline
\end{array}$$ Test the significance of the overall equation at the 5% level of significance.

A Regression Analysis Involving 40 Observations and Five Independent Variables