(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.

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(b)<br>Consider a regression line that goes through the origin with the following equation<br>Y = Bx; +8,, j =1,2,..,n.<br>Find the estimator of 6. B.<br>

Extracted 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<br>SUMMARY OUTPUT<br>Regression Statistics<br>Multiple R<br>R Square<br>Adjusted R Square<br>0.45351335<br>0.20567436<br>0.16154515<br>Standard Error<br>16.174739<br>Observations<br>20<br>ANOVA<br>df<br>SS<br>MS<br>F<br>Significance F<br>Regression<br>1<br>1219.350728<br>1219.350728<br>4.66073144<br>0.044607262<br>Residual<br>18<br>4709.199272 261.6221818<br>Total<br>19<br>5928.55<br>Coefficients<br>Standard Error<br>t Stat<br>P-value<br>Lower 95%<br>Upper 95%<br>Intercept<br>32.50591447<br>12.63862114 2.571951015 0.019197049<br>5.953156759 59.05867218<br>0.471064604<br>0.21819934 2.158872724 0.044607262<br>0.012644801 0.929484407<br>

Extracted 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

Jun 08, 2022

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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 6. B.

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