Given the following quantities for a simple linear regression model results from a sample of sizen-8 observations: Σx-47.7,Σy = 315, Σ x ? 304.59, Σν2- 13527.0, Σxy = 1735.3 %3D %3D %3D a) Use the above information to calculate SSxy, SSyy, and SSxx- b) Use the quantities in a) above to calculate B, c) Calculate SSE and use it to calculate the estimated standard error of B1, s. d) Test Ho: B1 = 0 O against Ha:B, # 0 at a = 0.05 level of significance. %3D %3D
Given the following quantities for a simple linear regression model results from a sample of sizen-8 observations: Σx-47.7,Σy = 315, Σ x ? 304.59, Σν2- 13527.0, Σxy = 1735.3 %3D %3D %3D a) Use the above information to calculate SSxy, SSyy, and SSxx- b) Use the quantities in a) above to calculate B, c) Calculate SSE and use it to calculate the estimated standard error of B1, s. d) Test Ho: B1 = 0 O against Ha:B, # 0 at a = 0.05 level of significance. %3D %3D
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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
Transcribed Image Text:Given the following quantities for a simple linear regression model results from a
sample of size n-8 observations:
Σx- 47.7,Σy - 315, Σxλ -304.59, Σy? 135270, Σxy - 1735.3
%3D
a) Use the above information to calculate SS, SSyy, and SS-
yy:
b) Use the quantities in a) above to calculate B
c) Calculate SSE and use it to calculate the estimated standard error of B1, S.
d) Test Ho: B
O against H:B, 0 at a = 0.05 level of significance.
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