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7) Given the following data, answer the questions below. X₁ 2 6 9 13 20 Yi 7 18 9 26 23 The estimated regression equation for these data is ŷ = 7.6-0.9x

7) Given the following data, answer the questions below. X₁ 2 6 9 13 20 Yi 7 18 9 26 23 The estimated regression equation for these data is ŷ = 7.6-0.9x

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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00000 ODOB X log cos sin 7) Given the following data, answer the questions below. X₁ 2 6 9 13 20 Yi 7 Brand Bose Skullcandy 18 9 26 23 The estimated regression equation for these data is ŷ = 7.6-0.9x d. Compute SSE, SST and SSR. e. Compute the coefficient of determination (r²). Comment on the goodness of fit. f. Compute the sample correlation coefficient. OR 8) The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by Consumer Reports. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 23.194 +0.318x where x = price ($) and overall score. Price ($) 180 150 ******** Score 76 71
Transcribed Image Text:00000 ODOB X log cos sin 7) Given the following data, answer the questions below. X₁ 2 6 9 13 20 Yi 7 Brand Bose Skullcandy 18 9 26 23 The estimated regression equation for these data is ŷ = 7.6-0.9x d. Compute SSE, SST and SSR. e. Compute the coefficient of determination (r²). Comment on the goodness of fit. f. Compute the sample correlation coefficient. OR 8) The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by Consumer Reports. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 23.194 +0.318x where x = price ($) and overall score. Price ($) 180 150 ******** Score 76 71
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