Given the simple regression model Y=B₁ + B₁X and the regression results that follow, test the null hypothesis that theslope coefficient is 0 versus the alternative hypothesis of greater than zero using probability of Type I error equal to0.05, and determine the two-sided 95% and 99% confidence intervals.Sb₁561a. A random sample of size n = 36 with b₁ = 8 andb. A random sample of size n = 49 with b₁ = 8.1 and= 1.9c. A random sample of size n = 36 with b₁ = 3.1 andSb₁Sb₁d. A random sample of size n = 26 with b₁ = 9.5 and= 1.9Determine the two-sided 95% confidence interval.(Round to two decimal places as needed.)= 1.62a. Test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than zero usingprobability of Type I error equal to 0.05.RejectHo. There is sufficient= 1.6evidence that the slope coefficient is greater than zero.

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Given the simple regression model Y = Bo + B₁X and the regression results that follow, test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than zero using probability of Type I error equal to 0.05, and determine the two-sided 95% and 99% confidence intervals. a. A random sample of size n = 36 with b₁ = 8 and Sp₁ = 1.9

Given the simple regression model Y = Bo + B₁X and the regression results that follow, test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than zero using probability of Type I error equal to 0.05, and determine the two-sided 95% and 99% confidence intervals. a. A random sample of size n = 36 with b₁ = 8 and Sp₁ = 1.9

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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