EQuestion Heip Ar ew rate frozen pizzas tor aer a dualy Amyess on odel to prede

Question

EQuestion Heip Ar ew rate frozen pizzas tor aer a dualy Amyess on odel to prede t reviewers s ure from Caknes, Fat oor tert, ad Type (1 .dem 0-popper Dependent Variable: Soore Source Sum of Squares DF R-squared " 28 7% Raquared (adjusted) . 202% Residuai 979135 -19.79 with 29-4 25 Variable Coefficient SE(Coett degroes of freedom -gmre es troen orem pas a aentes Mean Square Regression 304734 1315 78 336 20 ntercept-148817 Calories3891 P.value 0.0679 0229 0 0807 0743023 03066 242 2.138 8 103 Type 15 8344 a) What is the interpretation of the ooefficient of Tyee in this regression? According to hese resuits, what type wouild you expect to sell beter -cheese or pepperon? Choose Paasmpe 1) scored about 156 ports higer, alownger re eits of ca ores and ut Oee" pizzas can be expected to see b bned on two rost b) What displays would you like to see to check assumptions and conditions for this mode? A Scaterplot of residuals to check inearity and constant variance B A histogram or probability plot of residuals to check Normailty C. Scaterplots of the dats to check independence D D. Scaterplots of the data to check ineanty

Explanation / Answer

B is true since residuals should be normally distributed

C is true so as to check independence.

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