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(b) Consider a regression line that goes through the origin with the following equation Y = Bx; +8;, j=1,2,...n. Find the estimator of ß, §.

(b) Consider a regression line that goes through the origin with the following equation Y = Bx; +8;, j=1,2,...n. Find the estimator of ß, §.

MATLAB: An Introduction with Applications
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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Please do not use excel.

(b) Consider a regression line that goes through the origin with the following equation Y = Bx; +8,, j =1,2,..,n. Find the estimator of 6. B.
Transcribed Image Text:(b) Consider a regression line that goes through the origin with the following equation Y = Bx; +8,, j =1,2,..,n. Find the estimator of 6. B.
Appendix: QUESTION 4 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.45351335 0.20567436 0.16154515 Standard Error 16.174739 Observations 20 ANOVA df SS MS F Significance F Regression 1 1219.350728 1219.350728 4.66073144 0.044607262 Residual 18 4709.199272 261.6221818 Total 19 5928.55 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 32.50591447 12.63862114 2.571951015 0.019197049 5.953156759 59.05867218 0.471064604 0.21819934 2.158872724 0.044607262 0.012644801 0.929484407
Transcribed Image Text:Appendix: QUESTION 4 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.45351335 0.20567436 0.16154515 Standard Error 16.174739 Observations 20 ANOVA df SS MS F Significance F Regression 1 1219.350728 1219.350728 4.66073144 0.044607262 Residual 18 4709.199272 261.6221818 Total 19 5928.55 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 32.50591447 12.63862114 2.571951015 0.019197049 5.953156759 59.05867218 0.471064604 0.21819934 2.158872724 0.044607262 0.012644801 0.929484407
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