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Please please how to write if 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.  Please show me how to interpret.

Please please how to write if 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.  Please show me how to interpret.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please please how to write if 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.  Please show me how to interpret.

Model 1 2 3 Model 1 2 3 R .886 .891b -904€ .906 (Constant Weight in 100 b (Constant Weight in 100 b Seconds to reach to speed 60 from 0 Constant Weight in 100 b Seconds to reach to speed 60 from 0 Horse Power of the Engine R Square .784 .793 .817 .821 (Constant Weight in 100 b Seconds to reach to speed 60 from 0 Adjusted R Square Unstandardized Coefficients Std. Error -.396 1.740 845 1.654 -.063 -1.009 1.046 .043 1.921 -1.219 834 .053 .784 .792 .816 .819 Horse Power of the Engine Number of cylinders 141 a. Dependent Variable: GallonsPer 100 Miles 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: GallonsPer 100Miles 1.844 -143 046 331 050 015 406 097 021 270 410 123 021 269 Model Summary 051 Std. Error of the Estimate .77597 .76045 .71603 .70987 Standardized Coefficients Beta 1 -2.766 886 37.657 2.550 33.206 -4.133 842 -105 -2.484 10.735 532 072 2.082 Coefficients 443 7.125 -2.976 6.790 2.527 425 087 425 6.859 145 R Square Change 2.786 .784 .009 .024 .004 Sig. 006 000 011 000 000 013 .000 038 000 003 000 012 000 006 F Change df1 1418.075 17.078 50.768 7.759 Change Statistics 95.0% Confidence Interval for Lower Bound Upper Bound -677 -114 1.649 1.831 193 1.496 1.556 1.752 -.094 -.033 -1.808 854 .002 1.391 -2.025 593 2012 1.315 042 -211 1.237 084 2.452 -414 1.076 094 2.372 1 1 1 1 241 886 Correlations Zero-order Partial 885 -456 854 df2 886 -456 390 389 388 387 .854 840 .886 860 765 -456 -205 -.095 886 479 105 340 326 127 Sig. F Change .000 .000 .000 .006 329 140 Collinearity Statistics Part Tolerance VIF 886 233 045 155 146 054 148 060 1.000 826 826 192 398 122 120 1.000 172 1.210 1.210 5.221 2.312 118 8.449 388 2.580 8.216 8.305 5.816
Transcribed Image Text:Model 1 2 3 Model 1 2 3 R .886 .891b -904€ .906 (Constant Weight in 100 b (Constant Weight in 100 b Seconds to reach to speed 60 from 0 Constant Weight in 100 b Seconds to reach to speed 60 from 0 Horse Power of the Engine R Square .784 .793 .817 .821 (Constant Weight in 100 b Seconds to reach to speed 60 from 0 Adjusted R Square Unstandardized Coefficients Std. Error -.396 1.740 845 1.654 -.063 -1.009 1.046 .043 1.921 -1.219 834 .053 .784 .792 .816 .819 Horse Power of the Engine Number of cylinders 141 a. Dependent Variable: GallonsPer 100 Miles 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: GallonsPer 100Miles 1.844 -143 046 331 050 015 406 097 021 270 410 123 021 269 Model Summary 051 Std. Error of the Estimate .77597 .76045 .71603 .70987 Standardized Coefficients Beta 1 -2.766 886 37.657 2.550 33.206 -4.133 842 -105 -2.484 10.735 532 072 2.082 Coefficients 443 7.125 -2.976 6.790 2.527 425 087 425 6.859 145 R Square Change 2.786 .784 .009 .024 .004 Sig. 006 000 011 000 000 013 .000 038 000 003 000 012 000 006 F Change df1 1418.075 17.078 50.768 7.759 Change Statistics 95.0% Confidence Interval for Lower Bound Upper Bound -677 -114 1.649 1.831 193 1.496 1.556 1.752 -.094 -.033 -1.808 854 .002 1.391 -2.025 593 2012 1.315 042 -211 1.237 084 2.452 -414 1.076 094 2.372 1 1 1 1 241 886 Correlations Zero-order Partial 885 -456 854 df2 886 -456 390 389 388 387 .854 840 .886 860 765 -456 -205 -.095 886 479 105 340 326 127 Sig. F Change .000 .000 .000 .006 329 140 Collinearity Statistics Part Tolerance VIF 886 233 045 155 146 054 148 060 1.000 826 826 192 398 122 120 1.000 172 1.210 1.210 5.221 2.312 118 8.449 388 2.580 8.216 8.305 5.816
Variables Entered/Removeda Variables Variables Model Entered Removed Method 1 . Enter 2 3 4 Model 1 2 Weight in 100 lbb Seconds to reach to speed 60 from 0b Horse Power of the Engineb Number of cylindersb R .886 .891b .904€ .906d R Square .784 .793 .817 .821 Adjusted R Square Std. Error of the Estimate . 77597 .76045 .71603 .70987 Enter Enter Model Summary Enter R Square Change 784 .009 .024 .004 Model 1 Regression Residual Total F Change 1418.075 17.078 50.768 7.759 3 Change Statistics dfl 1 1 1 1 Sum of Squares 853.859 234.829 1088.688 863.735 224.953 1088.688 889.764 198.924 1088.688 893.674 1 390 391 2 Regression 2 389 391 Residual Total Regression Residual Total Regression Residual 3 388 391 4 387 195.014 Total 1088.688 391 a. Dependent Variable: GallonsPer 100 Miles 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 df2 390 389 388 387 ANOVA Sig. F Change .000 .000 .000 .006 df .784 .792 .816 .819 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: GallonsPer100Miles Mean Square 853.859 .602 F 1418.075 431.868 746.807 .578 296.588 513 223.418 .504 e. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0. Horse Power of the Engine, Number of cylinders Sig. .000 578.492 .000€ .000⁰ 443.367 .000*
Transcribed Image Text:Variables Entered/Removeda Variables Variables Model Entered Removed Method 1 . Enter 2 3 4 Model 1 2 Weight in 100 lbb Seconds to reach to speed 60 from 0b Horse Power of the Engineb Number of cylindersb R .886 .891b .904€ .906d R Square .784 .793 .817 .821 Adjusted R Square Std. Error of the Estimate . 77597 .76045 .71603 .70987 Enter Enter Model Summary Enter R Square Change 784 .009 .024 .004 Model 1 Regression Residual Total F Change 1418.075 17.078 50.768 7.759 3 Change Statistics dfl 1 1 1 1 Sum of Squares 853.859 234.829 1088.688 863.735 224.953 1088.688 889.764 198.924 1088.688 893.674 1 390 391 2 Regression 2 389 391 Residual Total Regression Residual Total Regression Residual 3 388 391 4 387 195.014 Total 1088.688 391 a. Dependent Variable: GallonsPer 100 Miles 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 df2 390 389 388 387 ANOVA Sig. F Change .000 .000 .000 .006 df .784 .792 .816 .819 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: GallonsPer100Miles Mean Square 853.859 .602 F 1418.075 431.868 746.807 .578 296.588 513 223.418 .504 e. Predictors: (Constant), Weight in 100 lb, Seconds to reach to speed 60 from 0. Horse Power of the Engine, Number of cylinders Sig. .000 578.492 .000€ .000⁰ 443.367 .000*
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