A football league has developed a regression model to predict the number of wins during a season for a team using the following independent variables: 1) Average points per game during the season (PPG) 2) Average number of penalties committed per game during the season (PEN) 3) Tumover differential during the season (TO) The following Excel output shows the partially completed regression output from a random season. Which one of the following statements describes the results of the hypothesis test for the overall regression model using a = 0.05? Click the icon to view the Excel output. O A. Because the p-value is less than alpha, we fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables. O B. Because the p-value is less than alpha, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and the independent variables. O C. Because the p-value is greater than alpha, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and the independent variables. O D. Because the p-value is greater than alpha, we fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables.Confidence Interval Estimate and Prediction Interval SUMMARY OUTPUT Data Regression Statistics Confidence Level 95% Multiple R 0.8075 R Square Adjusted R Square PEN given value 6 Standard Error 1.9338 PPG given value 24 Observations 32 TO given value 7 ANOVA Predicted Y (YHat) 9.207751 of 5S MS F Significance F Regression 0.00 For Average Predicted Y (YHat) Residual 104.71 Interval Half Width 0.894342 Total 31 300.97 Confidence Interval Lower Limit 8.313409 Confidence Interval Upper Limit Coefficients Standard Error I Stot P-value Lower 956 Upper 95% 10.10209 Intercept 1.5572 3.1208 0.6217 PEN -0.2938 0.3438 0.4000 For Individual Response Y PPG 0.3523 0.0903 0.0005 Interval Half Width 4.060955 TO 0.1371 0.0397 0.0018 Prediction Interval Lower Limit 5.146796 Prediction Interval Upper Limit 13.26871