While many people count calories, some often don't think about calories in the beverages they consume. Starbucks, one of the leading coffeehouse chains, provides nutrition information about all of their beverages on their website. Nutrition information, including number of calories, fat (g), carbohydrates (g), and protein (g), was collected on a random sample of Starbucks' 16 ounce ("Grande") hot espresso drinks. Note that all of the drinks in the sample are made with 2% milk unless the name specifically included the term "Skinny," which is how Starbucks indicated a beverage made with nonfat milk. The regression equation is Calories = 6.7 + 9.61 Fat (g) + 3.43 Carbs (g) + 4.42 Protein (g) Predictor Coef SE Coef T P Constant 6.68 17.64 0.38 0.715 Fat (g) 9.609 1.452 6.62 0.000 Carbs (g) 3.4350 0.3155 10.89 0.000 Protein (g) 4.418 2.231 1.98 0.083 S = 13.2293 R-Sq = 98.8% R-Sq(adj) = 98.4% Analysis of Variance Source DF SS MS F P Regression 3 116867 38956 222.58 0.000 Residual Error _ 1400 175 Total 11 118267 b) How many drinks were used in this sample?

d) Which predictors are significant at the 5% level?

c) Degrees of freedom of residual error is

a) Interpret the slope of Fat in context.

Options - 1. If the amd int of carbohydrates and protein were to remain unchanged, an additional gram of fat is predicted to increase the number of calories in 2. Fat and Carbs 3. 8 4. If the amount of carbohydrates and protein were to remain unchanged, an additional gram of fat is predicted to increase the number of calories in 5. Only fat 6. 12