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)

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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