Burger King Recall the Burger King Items menu data from Chapter 7. BK’s nutrition sheet lists many variables.

Here’s a multiple regression to predict calories for Burger King foods from Protein content (g), Total Fat (g), Carbohydrate (g), and Sodium (mg) per serving:

a) Do you think this model would do a good job of predicting calories for a new BK menu item? Why or why not?

b) The mean of Calories is 453.98 with a standard deviation of 234.63. Discuss what the value of s in the regression means about how well the model fits the data.

c) Does the R2 value of mean that the residuals are all almost equal to zero?

Dependent variable is: Calories R-squared = 99.88% R-squared (adjusted) = 99.88% S 8.178 with 1225=117 degrees of freedom Source Regression Sum of Squares dF dF Mean Square F-ratio 6652972.7 4 1663243.2 24861.63 Residual 7824.2 117 66.9 Variable Coefficient SE(Coeff) t-ratio P-value Intercept 0.27812 1.79532 0.15492 0.87715 Protein 3.71339 0.09533 38.95356