b) Suppose you are given the following information for an OLS regression:ΣχιX; Y = 830102,T = 22,x=416.5, y = 86.65,x = 3919654, RSS = 130.6i)Calculate the ordinary least square regression line.Calculate SE (a) and SE (B)Perform the hypothesis test such that Ho: a = -60 versus H₁: α = -60Perform the hypothesis test such that Ho: P = 0.4 versus H₁: B = 0.4In both cases use a significance of 5%.ii)iii)iv)

Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…

b) Suppose you are given the following information for an OLS regression: Σxivi: Xi Yi 830102, T = 22,x= 416.5, y = 86.65, Σx² = 3919654, RSS = 130.6 i) Calculate the ordinary least square regression line. Calculate SE (a) and SE (B) ii) iii) Perform the hypothesis test such that Ho: a = -60 versus H₁: a = -60 iv) Perform the hypothesis test such that Ho: B = 0.4 versus H₁:ß ± 0.4 In both cases use a significance of 5%.

b) Suppose you are given the following information for an OLS regression: Σxivi: Xi Yi 830102, T = 22,x= 416.5, y = 86.65, Σx² = 3919654, RSS = 130.6 i) Calculate the ordinary least square regression line. Calculate SE (a) and SE (B) ii) iii) Perform the hypothesis test such that Ho: a = -60 versus H₁: a = -60 iv) Perform the hypothesis test such that Ho: B = 0.4 versus H₁:ß ± 0.4 In both cases use a significance of 5%.

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) Suppose you are given the following information for an OLS regression:
Σχι
X; Y = 830102,T = 22,x=416.5, y = 86.65,
x = 3919654, RSS = 130.6
i)
Calculate the ordinary least square regression line.
Calculate SE (a) and SE (B)
Perform the hypothesis test such that Ho: a = -60 versus H₁: α = -60
Perform the hypothesis test such that Ho: P = 0.4 versus H₁: B = 0.4
In both cases use a significance of 5%.
ii)
iii)
iv)

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i need iv and first three parts are solved

b) Suppose you are given the following information for an OLS regression:
Exis
Σ
Xi Yi = 830102, T = 22, x = 416.5, y = 86.65,
[x² = 3919654, RSS = 130.6
i)
Calculate the ordinary least square regression line.
ii)
Calculate SE (a) and SE (B)
iii)
Perform the hypothesis test such that Ho: a = -60 versus H₁: a = -60
iv)
Perform the hypothesis test such that Ho: B = 0.4 versus H₁: B = 0.4
In both cases use a significance of 5%.

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