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Coefficients a Standardized 95.0% Confidence Interval for Unstandardized Coefficients Coefficients Correlations Collinearity Statistics Model B Std. Error Beta t Sig. Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF (Constant .280 .134 2.094 .037 .017 542 Number of cylinders 406 043 .415 9.374 000 .321 .491 .840 .429 .223 .289 3.456 Hores Power of the 2.185 .192 .504 11.383 000 1.808 2.563 .854 .500 .271 .289 3.456 Engine a. Dependent Variable: GallonsPer 100Miles Correlations Hores GallonsPer Number of Power of 100Miles cylinders the Engine Pearson GallonsPer100Miles 1.000 840 854 Correlation Number of cylinders .840 1.000 843 Hores Power of the 854 .843 1.000 Engine Sig. (1-tailed) GallonsPer100Miles 000 000 Number of cylinders 000 000 Hores Power of the .000 .000 Engine N GallonsPer100Miles 392 392 392 Number of cylinders 392 392 392 Hores Power of the 392 392 392 EngineCollinearity Diagnostics' Variance Proportions Condition Number of Hores Power Model Dimension Eigenvalue Index (Constant) cylinders of the Engine 2.917 1.000 .01 .00 .00 .067 6.596 .85 .03 .14 .016 13.680 14 .97 .85 a. Dependent Variable: GallonsPer 100Miles Normal P-P Plot of Regression Standardized Residual Dependent Variable: GallonsPer100Miles 1.0 0.8 0.6 Expected Cum Prob 0.A 0.2 0.0 0.0 0.2 0.4 0.6 0.8 1.0 Observed Cum ProbObserved Cum Prob Scatterplot Dependent Variable: GallonsPer100Miles Regression Standardized Residual ... .0 ... -2 2 Regression Standardized Predicted ValueBased on the tables and charts presented below, interpret the results and report your answer with an academic style. You should interpret the assumptions of the technique used. (7 marks) Model Summaryb Adjusted R Std. Error of Model R R Square Square the Estimate 883 .779 778 .78600 a. Predictors: (Constant), Hores Power of the Engine, Number of cylinders b. Dependent Variable: GallonsPer 100Miles ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 848.363 2 424.182 686.598 .000b Residual 240.325 389 618 Total 1088.688 391 a. Dependent Variable: GallonsPer 100Miles b. Predictors: (Constant), Hores Power of the Engine, Number of cylinders