Question: =+a) What does this plot say about how the regression model deals with these two types of pizza? We constructed another variable consisting of the

=+a) What does this plot say about how the regression model deals with these two types of pizza?

We constructed another variable consisting of the indicator variable Type multiplied by Calories. Here’s the resulting regression.

Dependent variable is: Score R-squared = 73.1% R-squared (adjusted) = 68.2%

s = 12.82 with 27 - 5 = 22 degrees of freedom Source Sum of Squares df Mean Square F-ratio Regression 9806.53 4 2451.63 14.9 Residual 3617.32 22 164.424 Variable Coeff SE(Coeff) t-ratio P-value Intercept -464.498 74.73 -6.22 60.0001 Calories 1.92005 0.2842 6.76 60.0001 Type 183.634 59.99 3.06 0.0057 Fat -10.3847 1.779 -5.84 60.0001 Type*Cals -0.461496 0.1740 -2.65 0.0145

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