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ru. tie average value or x whenly - U. _24672_1&content QUESTION 37 Based on the computer output, fill in the blank to complete the regression model. (Do not round, input the values exactly as shown) SUMMARY OUTPUT Regression Statistics Multiple R 0.983254 R Square 0.966789 Adjusted R 0.950183 Standard E 7.541009 Observatic ANOVA Significance F Regression 9932.463298 3310.821 58.22062 7.91266E-05 Residual 341.2008582 56.86681 Total 10273.66416 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 7.68 6.76 1.14 0.30 8.87 24.22 8.87 24.22 3.66 1.12 3.28 0.02 0.93 6.40 0.93 6.40 x2 7.62 1.66 4.60 0.00 3.57 11.68 3.57 11.68 0.83 0.54 1.54 0.18 2.15 0.49 -0.49 2.15 *X 1 + * X2 + * X3 QUESTION 38 A multivariate linear model is to predict crime rate based on police spending, high school completion rate, percent attending college, and percent of college g