Suppose multiple linear regression model is fitted with seven independent variable and revealed the following results.Variables Entered/RemovedaMethodEnterModelVariables EnteredVariables RemovedX7, X2, X4, X1, х6, хз, х5ba. Dependent Variable: Yb. All requested variables enteredModel SummaryStd. Error of theAdjusted RSquare.500ModelRR SquareEstimate10.99021754a568a. Predictors: (Constant), X7, X2, X4, X1, X6, X3, X5ANOVAaModelSum of Squares6998.009DfMean Square999.716FSig.1Regression8.277.000b7Residual5314.50344120.784Total12312.51251a. Dependent Variable: Yb. Predictors: (Constant), X7, X2, X4, X1, X8, X3, X5CoefficientsaUnstandardizedStandardizedCollinearity StatisticsVIFCoefficientsCoefficients2 www.youtube.com · 10mModelBStd. ErrorBetatSig.Tolerance1 (Constant)60.5549.4956.377.000PSL Transfer News | Kaizer Chiefs NewX1.001.001.1641.472.148.7881.269Recommended: Madi Media FootballX2.087.0482001.809.077.8011.249000000n401.000P Type here to search VIT1 (Constant)60.5549.4956.377.000X1.001.001.1641.472.148.7881.269X2.087.0482001.809.077.8011.249X3.009.009.133.948.349.5001.999X4-.043.017-.290-2.466.018.7101.408X5.047.012.5593.905.000.4782.090X6209.130.1881.607.115.7191.391X7005.006.1168753875551.800a. Dependent Variable: Ya) Is it necessary to use the t-test to test for the significance of each coefficient? Justify your answer.b) What can you say about the correlation coefficient value in the summary model table?Question (c) and (d) are based on backward elimination method application:c) Which variable would be removed first? Justify your answer.d) After your findings in part (c), is it possible to remove another variable from the same results? Justify your answer.e)i) In the output, what does the statistics 'VIF' and Tolerance' assess?ii) How do they differ from each other?iii) Explain whether you are concerned about these values?f) If a simple regression analysis is performed with X3 as the only independent variable, the Sum of Squares Error (SSE) e www.above multiple regression model with seven independent variables. Test if this simple regression model is signifi PSL TransRecommeFor the toolbar. press ALT+F10 (PC) or ALT+FN+F10 (Mac).BI U S Paragraphv ArialQ 6 2 = = = = E E x' X 814px

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Variables Entered/Removeda Model Variables Entered Variables Removed Method Enter 1 X7, X2, X4, X1, X6, X3, X5b a. Dependent Variable: Y b. All requested variables entered Model Summary R Square .568 Adjusted R Square .500 Std. Error of the Estimate 10.9902 Model R .754a a. Predictors: (Constant), X7, X2, X4, X1, X6, X3, X5 ANOVA Sum of Squares 6998.009 Mean Square 999.716 Model Df F Sig. 000b 1 Regression 8.277 Residual 5314.503 44 120.784 Total 12312.512 51 a. Dependent Variable: Y b. Predictors: (Constant), X7, X2, X4, X1, X6, X3, X5 Coefficients Unstandardized Coefficients Standardized Coefficients Collinearity Statistics VIF O www.youtube.com · 10m Std. Error 9.495 Model B 60.554 Beta Sig. .000 Tolerance 1 (Constant) 6.377 PSL Transfer News | Kaizer Chiefs X1 .001 .001 .164 1.472 .148 .788 1.269 Recommended: Madi Media Foof X2 .087 .048 200 1.809 .077 .801 1.249 000 040 Enn 4000

Variables Entered/Removeda Model Variables Entered Variables Removed Method Enter 1 X7, X2, X4, X1, X6, X3, X5b a. Dependent Variable: Y b. All requested variables entered Model Summary R Square .568 Adjusted R Square .500 Std. Error of the Estimate 10.9902 Model R .754a a. Predictors: (Constant), X7, X2, X4, X1, X6, X3, X5 ANOVA Sum of Squares 6998.009 Mean Square 999.716 Model Df F Sig. 000b 1 Regression 8.277 Residual 5314.503 44 120.784 Total 12312.512 51 a. Dependent Variable: Y b. Predictors: (Constant), X7, X2, X4, X1, X6, X3, X5 Coefficients Unstandardized Coefficients Standardized Coefficients Collinearity Statistics VIF O www.youtube.com · 10m Std. Error 9.495 Model B 60.554 Beta Sig. .000 Tolerance 1 (Constant) 6.377 PSL Transfer News | Kaizer Chiefs X1 .001 .001 .164 1.472 .148 .788 1.269 Recommended: Madi Media Foof X2 .087 .048 200 1.809 .077 .801 1.249 000 040 Enn 4000

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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