Consider the partially completed ANOVA table showing the results of a regression analysis shown.

$\begin{array}{|lcrcl|}
\hline \text { Source of } & {\text { Sum of }} & {\text { Mean }} & \
\text { variation } & \text { squares } & \text { df } & \text { squares } & \text { F-ratio } \
\text { Regression } & 305.1 & 1 & ? & ? \
\text { Residual } & 1247.3 & 24 & ? & \
\text { Total } & 1552.4 & 25 & & \
\hline
\end{array}$
-What is the F-ratio?
?

Question

Consider the partially completed ANOVA table showing the results of a regression analysis shown.
​
 $\begin{array}{|lcrcl|}
\hline \text { Source of } & {\text { Sum of }} & {\text { Mean }} & \
\text { variation } & \text { squares } & \text { df } & \text { squares } & \text { F-ratio } \
\text { Regression } & 305.1 & 1 & ? & ? \
\text { Residual } & 1247.3 & 24 & ? & \
\text { Total } & 1552.4 & 25 & & \
\hline
\end{array}$
-What is the F-ratio?
?

Quizplus · Accepted Answer

The F-ratio is calculated as the Mean Square Regression divided by the Mean Square Residual. Mean Square Regression = 305.1 / 1 = 305.1. Mean Square Residual = 1247.3 / 24 = 51.97. F-ratio = 305.1 / 51.97 ≈ 5.871.

Consider the Partially Completed ANOVA Table Showing the Results of a Regression