Predicting calories

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Like many fast-food restaurant chains, Burger King (BK) provides data on the nutrition content of its menu items on its website. Here’s a multiple regression predicting 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 452.1 with a standard deviation of 230.8. Discuss what the value of s in the regression means about how well the model fits the data.
c) Does the R2 value of 99.9% mean that the residuals are all actually equal to zero?

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