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Write up for Linear Regression: A multiple linear regression was calculated to predict students’ views on whether affirmative action in college admissions should be abolished based on whether or not they identified as White/Nonwhite and what gender they indicated. A significant regression equation was found (F(2, 37069) = 2260.266, p < 0.01), with an R2 = 0.109. Results suggest that views on whether affirmative action in college admissions should be abolished were equal to [-.344 * gender + + .675 * White/Non-White] + 1.944. The expected affirmative action view for a White, male student would be [-.344 (1) + .675 (2)] + 1.944 which is equal to 2.95. Both variables were statistically significant, and percentage of variance explained by these factors would have 10.9% practical implications. However, the variance explained by White/Non-White identity (B = 0. .276) is a bit less than twice as much as explained by gender (B = -0.171).