Question 1 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.999666 0.999333 0.999307 39.51247 54 ANOVA Significance F Df SS MS F Regression Residual 2 1.19E+08 59656970 38211.39 1.03E-81 51 79622.99 1561.235 Total 53 1.19E+08 Lower 95.0% -34.8742 15.44438 Standard Upper 95% Upper 95.0% Coefficients Error t Stat P-value Lower 95% -34.8742 Intercept Reall income Real Wealth -9.71491 12.53213 -0.7752 51.92536 0.441801 15.44438 0.726461 0.01399 7.96E-46 0.698374 0.754548 0.698374 0.754548 0.036411 0.002589 14.06532 3.48E-19 0.031214 0.041608 0.031214 0.041608
Question 1 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.999666 0.999333 0.999307 39.51247 54 ANOVA Significance F Df SS MS F Regression Residual 2 1.19E+08 59656970 38211.39 1.03E-81 51 79622.99 1561.235 Total 53 1.19E+08 Lower 95.0% -34.8742 15.44438 Standard Upper 95% Upper 95.0% Coefficients Error t Stat P-value Lower 95% -34.8742 Intercept Reall income Real Wealth -9.71491 12.53213 -0.7752 51.92536 0.441801 15.44438 0.726461 0.01399 7.96E-46 0.698374 0.754548 0.698374 0.754548 0.036411 0.002589 14.06532 3.48E-19 0.031214 0.041608 0.031214 0.041608
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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Conduct a test of the null hypothesis for both independent variable and interpret your finding. You do not have to calculate anything by hand here; use excel output.
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