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The data on the selling price (y) and annual taxes (x) for 24 houses is summarize in the table below. 24 Ex2 = 1042.1141 n%3D Xave 6.4049 Ey² = 29581.65 !! Yave = 34.6125 Exy = 5511.9255 Ex = 153.718 Sxy 191.36121 Ey = 830.7 Sxx = 57.5631 The regression analysis is presented in the table below SUMMARY OUTPUT Regression Statistics R Square Adjusted R Square Observations 24

The data on the selling price (y) and annual taxes (x) for 24 houses is summarize in the table below. 24 Ex2 = 1042.1141 n%3D Xave 6.4049 Ey² = 29581.65 !! Yave = 34.6125 Exy = 5511.9255 Ex = 153.718 Sxy 191.36121 Ey = 830.7 Sxx = 57.5631 The regression analysis is presented in the table below SUMMARY OUTPUT Regression Statistics R Square Adjusted R Square Observations 24

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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36. What is the 95% confidence interval of intercept?
The data on the selling price (y) and annual taxes (x) for 24 houses is summarize in the table below. 24 Ex2 = 1042.1141 In%3D 6.4049 Ey2 = 29581.65 Xave = 34.6125 Exy = 5511.9255 Yave = Ex = 153.718 Sxy= 191.36121 Ey = 830.7 Sxx = 57.5631 The regression analysis is presented in the table below SUMMARY OUTPUT Regression Statistics R Square Adjusted R Square Observations 24 ANOVA df S MS Feritical Regression 636.1557 Residual Total 829.0463 Coefficients Standard Error t Stat Intercept 13.3202 2.5717 5.1795 X Variable 1 3.3244. 0.3903 8.5180
Transcribed Image Text:The data on the selling price (y) and annual taxes (x) for 24 houses is summarize in the table below. 24 Ex2 = 1042.1141 In%3D 6.4049 Ey2 = 29581.65 Xave = 34.6125 Exy = 5511.9255 Yave = Ex = 153.718 Sxy= 191.36121 Ey = 830.7 Sxx = 57.5631 The regression analysis is presented in the table below SUMMARY OUTPUT Regression Statistics R Square Adjusted R Square Observations 24 ANOVA df S MS Feritical Regression 636.1557 Residual Total 829.0463 Coefficients Standard Error t Stat Intercept 13.3202 2.5717 5.1795 X Variable 1 3.3244. 0.3903 8.5180
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