Answer :
The F-statistic for the F-test for joint significance for the variables that are omitted between Regression 1 and Regression 2 is calculated by dividing the difference between the sum of squares of the two regressions by the sum of squares of the omitted variables.
The F-statistic for the F-test for joint significance is a measure of the strength of the relationship between the variables that have been omitted between two regressions. It is calculated by taking the difference between the sum of squares of the two regressions, and dividing it by the sum of squares of the omitted variables. This gives us a value that indicates how well the omitted variables explain the variance in the data. If the value is high, then the omitted variables do explain a significant amount of the variance in the data, indicating that they should not be omitted.
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