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The Pearson correlation between X1 and Y is r = 0.50.When a second variable,X2,is added to the regression equation,we obtain R2 = 0.60.Adding the second variable increases the variability that is predicted by the regression equation for the Y scores by 36% - 25% = 11%.
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