Which of the following statements about the F-ratio is true?
A)The F-ratio is the ratio of error variance to the total variance.
B)The F-ratio is the ratio of variance explained by the model to the error in the model.
C)The F-ratio is the ratio of variance explained by the model to the total variance in the outcome variable.
D)The F-ratio is the proportion of variance explained by the regression model.

Question

Quizplus · Accepted Answer

The F-ratio is the ratio of variance explained by the model to the error in the model. It is calculated by dividing the mean square for the model by the mean square for the error. This ratio is used to test the null hypothesis that all the regression coefficients (except the intercept) are zero, indicating that the model does not explain any of the variance in the outcome variable. A significant F-ratio indicates that the regression model does explain a significant amount of the variance in the outcome variable.

Which of the Following Statements About the F-Ratio Is True