The calculation of the F-value for a possible explanatory variable measures the improvement in the fit of a linear model when the variable is included versus when it is not.

Question

Quizplus · Accepted Answer

The F-value in the context of a linear model measures how much the explanatory variable improves the model's fit compared to a model without the variable, by comparing the variance explained by the model with the variable to the variance not explained.

The Calculation of the F-Value for a Possible Explanatory Variable