Answer: 14.16.

## Explanation The F-statistic in a multiple linear regression is calculated as: $$F = \frac{MSR}{MSE}$$ Where: - MSR = Mean Square Regression = 19.234 - MSE = Mean Square Error = 1.358 $$F = \frac{19.234}{1.358} = 14.16$$ Therefore, the test statistic of the general linear F-test is closest to **14.16**. **Key Points:** - The F-test assesses the overall significance of the regression model - MSR measures the explained variation in the dependent variable - MSE measures the unexplained variation (error) - A higher F-statistic indicates stronger evidence against the null hypothesis that all regression coefficients are zero

Author: LeetQuiz Editorial Team