The following table shows a portion of the regression results. SS F F-stat 5,694,717 dt Regression...

 

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The following table shows a portion of the regression results. SS F F-stat 5,694,717 dt Regression df₁ df₂ Residual Total 39 Coefficients Std. Error 300 226 Intercept Bedroom Bath Sq ft 89 0.2 1,343,176 7,037,893 84.0 60.3 55.9 0.09 MS MSR MSE t-stat p-value Significance F p-value Lower 95% 130.03 103.45 -24.24 0.024 Upper 95% 470.79 348.17 202.77 0.39 1. Form the competing hypotheses if we wish to test for whether the independent variables are jointly significant in influencing rent. 2. Calculate df, df₂, MSR, MSE and the F-test statistic of the joint significance. 3. Approximate the p-value for the F-test statistic. The following table shows a portion of the regression results. SS F F-stat 5,694,717 dt Regression df₁ df₂ Residual Total 39 Coefficients Std. Error 300 226 Intercept Bedroom Bath Sq ft 89 0.2 1,343,176 7,037,893 84.0 60.3 55.9 0.09 MS MSR MSE t-stat p-value Significance F p-value Lower 95% 130.03 103.45 -24.24 0.024 Upper 95% 470.79 348.17 202.77 0.39 1. Form the competing hypotheses if we wish to test for whether the independent variables are jointly significant in influencing rent. 2. Calculate df, df₂, MSR, MSE and the F-test statistic of the joint significance. 3. Approximate the p-value for the F-test statistic.