Question: Suppose a nutritionist wants to develop a model that describes the amount of calories in a single serving of cereal. The potential explanatory variables for

Suppose a nutritionist wants to develop a model that describes the amount of calories in a single serving of cereal. The potential explanatory variables for the model are protein (grams), fat (grams), sodium (milligrams), fiber (grams), carbs (grams of carbohydrates), sugars (grams), potass (milligrams of potassium), and shelf the cereal is sold on in the store. Use forward selection, backward elimination, or stepwise regression to build a model that can be used to predict the calories in cereal.

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