b) Write the regression equation then test the hypothesis that Beta1 = 0 using a two- tail test and a 1% level of significance.Please use the below table to calculate SUMMARY OUTPUTRegression StatisticsMultiple R0.34670419R Square0.12020379Adjusted R Sq 0.11843713Standard Erro 10.7247062ObservationsANOVARegressionResidualTotaldf500SSMS1 7825.934957825.93495498 57279.623 115.019323499 65105.558Coefficients Standard Errort Stat40.5927782 0.9448331 42.9629089InterceptX Variable 1 -0.4966552 0.0602105 -8.2486469FP-valueSignificance F68.04017551 1.4393E-15Lower 95% Upper 95% Lower 95.0% Upper 95.0%1.2709E-169 38.7364278 42.4491286 38.7364278 42.44912861.43928E-15 -0.6149531 -0.3783573 -0.6149531 -0.3783573

The regression equation is defined by,where, denotes the intercept denotes the slope

Answered: b) Write the regression equation then…

b) Write the regression equation then test the hypothesis that Beta1 = 0 using a two- tail test and a 1% level of significance.Please use the below table to calculate

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

b) Write the regression equation then test the hypothesis that Beta1 = 0 using a two- tail test and a 1% level of significance.Please use the below table to calculate

SUMMARY OUTPUT
Regression Statistics
Multiple R
0.34670419
R Square
0.12020379
Adjusted R Sq 0.11843713
Standard Erro 10.7247062
Observations
ANOVA
Regression
Residual
Total
df
500
SS
MS
1 7825.93495
7825.93495
498 57279.623 115.019323
499 65105.558
Coefficients Standard Error
t Stat
40.5927782 0.9448331 42.9629089
Intercept
X Variable 1 -0.4966552 0.0602105 -8.2486469
F
P-value
Significance F
68.04017551 1.4393E-15
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
1.2709E-169 38.7364278 42.4491286 38.7364278 42.4491286
1.43928E-15 -0.6149531 -0.3783573 -0.6149531 -0.3783573

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