Based on the tables and graphs below, interpret and report the results. You need to identify the test, discuss the assumptions. Follow the decision steps for interpretation, and then report the results in an academic style. Note that if any of the assumptions have been violated, you need to report it and continue as if it has not been violated.
Variables Entered/Removed Variables Variables Model Entered Removed Method Seconds to Enter Model Summary reach to speed 60 Adjusted R Std. Error of from 0, Model R R Square Square the Estimate Weight in 100 1 906 821 819 70987 Ib, Number of cylinders. a. Predictors: (Constant), Seconds to reach to speed 60 from Hores Power 0, Weight in 100 lb, Number of cylinders, Hores Power of of the Engine the Engine b. Dependent Variable: GallonsPer1 00Miles a. Dependent Variable: GallonsPer100Miles b. All requested variables entered. ANOVA Sum of Model Squares df Mean Square F Sig. Regression 893.674 4 223.418 443.367 .000 Residual 195.014 387 504 Total 1088.688 391 a. Dependent Variable: GallonsPer1 00Miles b. Predictors: (Constant), Seconds to reach to speed 60 from 0, Weight in 100 lb, Number of cylinders, Hores Power of the EngineCoefficients Standardized Unstandardized Coefficients Coefficients 95.0% Confidence Interval for B Correlations Model B Std. Error Collinearity Statistics Beta Sig. Lower Bound Upper Bound Zero-order Partial Part Tolerance (Constant) VIF -1.219 410 -2.976 003 -2.025 -.414 Number of cylinders 141 .051 145 2.786 006 042 .241 .840 Hores Power of the 140 .060 172 5.816 1.844 .269 Engine 425 6.859 000 1.315 2.372 .854 329 .148 .120 8.305 Weight in 100 lb 834 123 425 6.790 000 593 1.076 886 Seconds to reach to 326 146 118 8.449 .053 .021 087 speed 60 from 0 2.527 .012 .012 .094 -.456 .127 .054 388 2.580 a. Dependent Variable: GallonsPer100Miles Collinearity Diagnostics Variance Proportions Seconds to reach to Condition Number of Hores Power Weight in 100 Model Dimension Eigenvalue speed 60 Index (Constant) cylinders of the Engine Ib from 0 1 4.809 1.000 .00 .00 .00 00 00 161 5.464 .01 .01 .02 .00 .04 3 017 16.753 07 .30 .34 05 .01 009 23.065 14 57 01 43 07 5 .003 37.208 .79 .13 63 .51 88 a. Dependent Variable: GallonsPer1 00MilesHistogram Dependent Variable: GallonsPer100Miles Mean = -4.96E-15 60 Std. Dev. = 0.995 N = 392 50 40 Frequency 30 20 10 0 -2 0 2 Regression Standardized ResidualScatterplot Dependent Variable: GallonsPer100Miles 2 O 00 00 0 Regression Standardized Residual o80 -2 -4 -2 -1 0 2 3 Regression Standardized Predicted Value
