Data are provided here with descriptive statistics, a correlation coefficient, and a regression equation: r = 0.426, Y Ì‚ = 219.974 + 186.595(X).

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. C heck that this calculation of r 2 equals the square of the correlation coefficient. 

e. Compute the standardized regression coefficient.

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Coefficients Unstandardized Coefficients Std. Error Standardized Coefficients Model Beta t. 2.972 2.953 -2.566 Sig. .004 .004 .012 1.675 .001 -008 563 .000 .003 (Constant) SAT .321 Rank -279