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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Question
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.

Transcribed Image Text:Question 1
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R
Square
Standard
0.999666
0.999333
0.999307
Error
Observations
39.51247
54
ANOVA
Significance
F
Df
S
MS
F
Regression
Residual
2 1.19E+08 59656970 38211.39
1.03E-81
51
79622.99
1561.235
Total
53
1.19E+08
Standard
Upper
95%
Lower
95.0%
Upper
95.0%
Coefficients
Error
t Stat
P-value
Lower 95%
15.44438
Intercept
Reall income
Real Wealth
-9.71491
12.53213
-0.7752 0.441801
-34.8742 15.44438
-34.8742
0.726461
0.01399
51.92536
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
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