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Compare the coefficients of determination (r-squared values) from the three linear regressions: simple linear regression from...

Compare the coefficients of determination (r-squared values) from the three linear regressions: simple linear regression from Module 3 Case, multivariate regression from Module 4 Case, and the second multivariate regression with the logged values from Module 4 Case. Which model had the “best fit”? Calculate the residual for the first observation from the simple linear regression model. Recall, the Residual = Observed value - Predicted value or e = y – ŷ. What happens to the overall distance between the best fit line and the coordinates in the scatterplot when the residuals shrink? What happens to the coefficient of determination when the residuals shrink? Consider the r-squared from the linear regression model and the r-squared from the first multivariate regression model. Why did the coefficient of determination change when more variables were added to the model? Annual Amount Spent on Organic Food Age Annual Income Number of People in Household Gender

Module 4

Annual Amount Spent on Organic Food Age Annual Income Number of People in Household Gender (0 = Male; 1 = Female)
7348 77 109688 3 1
11598 47 109981 5 1
9224 23 112139 4 1
12991 38 113420 5 1
16556 58 114101 5 0
11515 44 115100 5 0
10469 34 116330 5 0
17933 75 116339 6 0
18173 32 117907 7 0
12305 39 119071 5 1
9080 65 58603 5 1
9113 48 58623 4 1
6185 48 61579 2 1
6470 49 62180 2 0
6000 57 62202 5 1

Module 3

Annual Amount Spent on Organic Food Age
7348 77
11598 47
9224 23
12991 38
16556 58
11515 44
10469 34
17933 75
18173 32
12305 39
9080 65
9113 48
6185 48
6470 49
6000 57

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