Afast ood restaurant had a multiple regress on performed on oorne o to nutri Ona

Question

Afast ood restaurant had a multiple regress on performed on oorne o to nutri Onal informtion m menu ho mui le mi opremed n from Protein content (g), Total Fat (g), Carbohydrate (a), and Sodium (mg) per serving. Use the multiple regression output given below to complete parts a through a. Click the icon to view the multiple regression output. a) Do you think this model would do a good job of predicting calories for new menu items? Why or why not? OA. With an R2 value of 99.8%, it does not look like this model would do a good ob of predicting calories k r new menu items. B. Since all of the coefficients for the predictor variables are greater than zero, it does not new menu items dtor variables are greater than zero, it looks like this model would do a good job of prodicting calories for new menu O C. Sinco al of the coefficients for the predi D. With an R2 value of 99 8%, it looks like this model would do a good obcf predicting calories for new menu horns items.

Explanation / Answer

a) Since the value of R-square is 99.8% which is pretty high, the model will do a good job. hence, Option (D) is the correct choice. (Ans).

b) The valuse of MSE or s in the model is 72.4930, which is preety small compared to the initial standard deviation of calories, which is 228.5. So the model fits the data quite well, only a small portion of variation remains unexplained. Hence, Option (C) is the correct choice. (Ans).

c) The residuals can never be 0 as standard deviation,s is greater than 0. Hence, Option (A) is the correct choice. (Ans).

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