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rsteel rsteel
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3 weeks ago
Use the following to answer the questions below:

Fast food restaurants are 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)

PredictorCoefSE CoefTP
Constant65.18 31.412.080.062
Total Fat (g)9.4641.7105.530.000
Cholesterol (mg)0.87620.63661.380.196
Sodium (mg)0.131490.047902.750.019

S = 39.4529        R-Sq = 95.5%        R-Sq(adj) = 94.3%

Analysis of Variance
SourceDF SS MS FP
Regression3362171120724 77.560.000
Residual Error1117122 1557
Total14379293


Which variable, if any, would you suggest trying to eliminate first to possibly improve this model? Describe one way in which you might determine if the model had been improved by removing that variable. Explain briefly.
Textbook 
Statistics: Unlocking the Power of Data

Statistics: Unlocking the Power of Data


Edition: 3rd
Authors:
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damien03damien03
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Thanks for your help!!
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