Based on the given multiple regression output tables below, answer the following questions: Model Summary Adjusted R Square Std. Error of the Durbin- Model R R Square Estimate Watson .842 .710 .630 109.430 1.158 ANOVA Sum of Squares Model df Mean Square F Sig. Regression 321946.82 3 107315.6 8.96 [0.0027 Residual 131723.20 11 11974.8 Total 453670.00 14 Coefficients Standardized Unstandardized Coefficients Coefficients Model в Std. Error Beta Sig. (Constant) X Variable 1 X Variable 2 X Variable 3 657.053 167.46 3.92 .0024 5.7103 1.792 -.101 3.19 .0087 -0.4169 0.322 -.077 -1.29 .2222 -3.4715 1.443 -7.996 -2.41 .0349

Based on the given multiple regression output tables below, answer the following questions: Model Summary Adjusted R Square Std. Error of the Durbin- Model R R Square Estimate Watson .842 .710 .630 109.430 1.158 ANOVA Sum of Squares Model df Mean Square F Sig. Regression 321946.82 3 107315.6 8.96 [0.0027 Residual 131723.20 11 11974.8 Total 453670.00 14 Coefficients Standardized Unstandardized Coefficients Coefficients Model в Std. Error Beta Sig. (Constant) X Variable 1 X Variable 2 X Variable 3 657.053 167.46 3.92 .0024 5.7103 1.792 -.101 3.19 .0087 -0.4169 0.322 -.077 -1.29 .2222 -3.4715 1.443 -7.996 -2.41 .0349

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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