Calculate sum of squared error for the regression equation

Reference no: EM131418600

Data are provided here with descriptive statistics, a correlation coefficient, and a regression equation: r 0.52, Y^= 2.643 + 0.469(X).

2104_Tab 4.jpg

Using this information, compute the following estimates of prediction error:

a. Calculate the sum of squared error for the mean, SS_total.

b. Now, using the regression equation provided, calculate the sum of squared error for the regression equation, SS_error.

c. Using your work, calculate the proportionate reduction in error for these data.

d. Check that this calculation of r² equals the square of the correlation coefficient..

Reference no: EM131418600

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