SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sq Standard Error Observations 0.9027 0.8148 0.8016 148.1904 16 ANOVA F Signdicance F SS 1 1,352,635.29 1,352,635.29 14 307 445.65 df MS Regression Residual 61.59 0.00000171 21,960.40 Total 15 1,660,080.94 Lower 95% Coefficients Standard Eror 437.8799 16.9448 : Stat 5.3175 7.8482 Pvalue 0.0001 0.0000 Upper 95% Lower 95.0% Upper 95.0% 614.4981 21.5756 82.3477 261.2617 614.4981 261.2617 Intercept $TV ads 2.1591 12.3141 21.5756 12.3141
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sq Standard Error Observations 0.9027 0.8148 0.8016 148.1904 16 ANOVA F Signdicance F SS 1 1,352,635.29 1,352,635.29 14 307 445.65 df MS Regression Residual 61.59 0.00000171 21,960.40 Total 15 1,660,080.94 Lower 95% Coefficients Standard Eror 437.8799 16.9448 : Stat 5.3175 7.8482 Pvalue 0.0001 0.0000 Upper 95% Lower 95.0% Upper 95.0% 614.4981 21.5756 82.3477 261.2617 614.4981 261.2617 Intercept $TV ads 2.1591 12.3141 21.5756 12.3141
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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