A fast food restaurant had a multiple regression performed on some of the nutritional information in its menu. The multiple regression was performed to predict calories from Protein content?(g), Total Fat?(g), Carbohydrate?(g), and Sodium?(mg) per serving. Use the multiple regression output given below to complete parts a through c.

Dependent variable is: Pct BF R-squared =99.6% R-squared (adjusted) =99.6% s = 8.52 with 111 -5= 106 degrees of freedom Sum of Mean Source Squares df Square F-ratio Regression 4750466 4 1187617 16394 Residual 7678.73 106 72.4408 Variable Coefficient SE(Coeff) t-Ratio P-value Intercept - 5.859 2.568 - 2.28 0.0246 Protein 3.8771 0.0941 41.20