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he Multiple R R Square Adjusted R Square Standard Error Observations 0.850145561 0.722747474 0707244556 404.5726843 20 ANOVA MS F 46.9228 Significance F 20738-06 Repression Residual

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he Multiple R R Square Adjusted R Square Standard Error Observations 0.850145561 0.722747474 0707244556 404.5726843 20 ANOVA MS F 46.9228 Significance F 20738-06 Repression Residual Total 1 18 76802736 29462230 10626496.6 76902736 163679.06 19 Standard Error Upper 95% Lower 95.0% Upper 95 ON Stat Lower 95% 553.867 P.value Coefficients 948.7 1879 5.048 0.00008 13435 553.857 1343 547 Intercept X1 Variable 15.7 107.5 0.0000021 6.850 74 507 74.507 140.4 a. Write down the regression model equation (6 marks) b. What is the intercept? (2 marks) Comment on the significance of each independent variable X1 and X2 st 19 level (3.5+357 mars) Decision rule: X1 D-value Comment d. Comment on the coefficient of determination 5.marlo

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