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In recent years, fast food restaurants have been required to publish nutrition information about the foods they serve. Nutrition information for a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. Output from a multiple regression analysis is provided.
The regression equation is Calories = 65.2 + 9.46 Total Fat (g) + 0.876 Cholesterol (mg) + 0.131 Sodium (mg)
Use the following  In recent years, fast food restaurants have been required to publish nutrition information about the foods they serve. Nutrition information for a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. Output from a multiple regression analysis is provided. The regression equation is Calories = 65.2 + 9.46 Total Fat (g) + 0.876 Cholesterol (mg) + 0.131 Sodium (mg)     S = 39.4529 R-Sq = 95.5% R-Sq(adj) = 94.3% Analysis of Variance    -What are the explanatory variables used in this model?
S = 39.4529 R-Sq = 95.5% R-Sq(adj) = 94.3%
Analysis of Variance
Use the following  In recent years, fast food restaurants have been required to publish nutrition information about the foods they serve. Nutrition information for a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. Output from a multiple regression analysis is provided. The regression equation is Calories = 65.2 + 9.46 Total Fat (g) + 0.876 Cholesterol (mg) + 0.131 Sodium (mg)     S = 39.4529 R-Sq = 95.5% R-Sq(adj) = 94.3% Analysis of Variance    -What are the explanatory variables used in this model?
-What are the explanatory variables used in this model?

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