Reference no: EM131008173
Burger King nutrition. 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.
Dependent variable is: Calories
R-squared = 100.0% R-squared [adjusted] = 100.0% s = 3.140 with 31 - 5 = 26 degrees of freedom
Source Sum of Squares df Mean Square F-ratio
Regression 1419311 4 354828 35994
Residual 256.307 26 9.85796
a) Do you think this model would do a good job of predict- ing calories for a new BK menu item? Why or why not?
b) The mean of Calories is 455.5 with a standard deviation of 217.5. Discuss what the value of s in the regression means about how well the model fits the data.
c) Does the R2 value of 100.0% mean that the residuals are all actually equal to zero?
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Variable
Intercept
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Coeff
6.53412
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SE(Coeff)
2.425
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t-ratio
2.69
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P-value
0.0122
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Protein
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3.83855
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0.0859
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44.7
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6 0.0001
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Total fat
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9.14121
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0.0779
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117
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6 0.0001
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Carbs
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3.94033
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0.0338
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117
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6 0.0001
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Na/Serv.
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- 0.69155
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0.2970
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- 2.33
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0.0279
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: Burger King nutrition. 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)..
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