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Based on the following tables, identify the test, interpret the results and report them in an academic style. You do not need to interpret the
Based on the following tables, identify the test, interpret the results and report them in an academic style. You do not need to interpret the assumptions.
+14 Variables Entered/Removed' Variables Variables Model Entered Removed Method 1 Weight in . Enter 100|bP 2 Seconds to . Enter reach to speed 60 from 0'3 3 Horse . Enter Power of the Engine\" 4 Number of . Enter I:3},r|inderL-7.b ANOVAa Sum of Model Squares df Mean Square F Sig. 1 Regression 853.859 1 853.859 1418.075 .000 Residual 234.829 390 602 Total 1088.688 391 2 Regression 863.735 2 431.868 746.807 .000 Residual 224.953 389 .578 Total 1088.688 391 Regression 889.764 3 296.588 578.492 .000 Residual 198.924 388 513 Total 1088.688 391 4 Regression 893.674 4 223.418 443.367 .000 Residual 195.014 387 504 Total 1088.688 391 a. Dependent Variable: GallonsPer100Miles b. Predictors: (Constant), Weight in 100 lb c. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0 d. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0, Horse Power of the Engine e. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0, Horse Power of the Engine, Number of cylindersModel Summary Change Statistics Adjusted R Std. Error of R Square Model R R Square Square the Estimate Change F Change dfl df2 Sig. F Change 1 .886 784 .784 .77597 .784 1418.075 1 390 000 2 .891 .793 792 .76045 009 17.078 389 .000 3 904 817 .816 .71603 .024 50.768 388 .000 4 906 821 .819 70987 .004 7.759 1 387 006 a. Predictors: (Constant), Weight in 100 lb b. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0 c. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0, Horse Power of the Engine d. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0, Horse Power of the Engine, Number of cylinders e. Dependent Variable: GallonsPer100MilesCoefficients* Standardized Unstandardized Coefficients 95.0% Confidence Interval for Coefficients B Correlations Model Collinearity Statistics B Std. Error Beta Sig. Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF 1 (Constant) -.396 143 -2.766 006 -.677 -.114 Weight in 100 lb 1.740 046 886 37.657 000 1.649 1.831 886 .886 886 1.000 2 1.000 (Constant) 845 331 2.550 .011 193 1.496 Weight In 100 lb 1.654 .050 842 33.206 000 1.556 1.752 886 .860 765 .826 1.210 Seconds to reach to -.063 015 speed 60 from 0 -.105 -4.133 000 -.094 -.033 -.456 -.205 -.095 826 1.210 3 (Constant) -1.009 .406 -2.484 013 -1.808 -.211 Weight in 100 lb 1.046 .097 -532 10.735 .000 .854 1.237 886 .479 .233 Seconds to reach to . 192 5.221 .043 021 speed 60 from 0 .072 2.082 038 .002 .084 -.456 .105 .045 398 2.512 Horse Power of the 1.921 .270 .443 Engine 7.125 000 1.391 2.452 .854 .340 .155 .122 8.216 (Constant) -1.219 .410 -2.976 003 -2.025 -.414 Weight in 100 lb 834 .123 425 6.790 000 593 1.076 886 .326 146 Seconds to reach to 118 8.449 .053 .021 speed 60 from 0 .087 2.527 012 012 .094 -.456 .127 .054 .388 2.580 Horse Power of the 1.844 269 Engine .425 6.859 .000 1.315 2.372 854 .329 .148 .120 8.305 Number of cylinders .141 .051 .145 2.786 006 .042 .241 .840 .140 .060 .172 5.816 a. Dependent Variable: GallonsPer 100MilesStep by Step Solution
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