Fast food restaurants are required to publish nutrition information about the foods they serve. Nutrition information about a random sample of 15 McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the total fat content (in grams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Computer output is provided. The regression equation is Calories = 137.1 + 15.06 Total Fat (g) Predictor Constant Coef 137.08 SE Coef 40.64 T P 3.37 0.005 Total Fat (g) 15.055 1.649 9.13 0.000 S=62.7442 R-Sq = 86.5% R-Sq(adj) = 85.5% Predicted Values for New Observations Use the computer output, and a = 0.05, to test the slope to determine whether the total fat content (g) is an effective predictor of the number of calories. Total Fat (g) Fit SE Fit 25 513.5 16.7 95% CI (477.4,549.5) 95% Pl (373.2,653.7) The final conclusion is The p-value is The degrees of freedom are The test statistic is equal to > > >