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intercept the meaning of regression coefficent of independent variable?

intercept the meaning of regression coefficent of independent variable?

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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intercept the meaning of regression coefficent of independent variable?

SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.959 0.919 Adjusted R Square 0.909 Standard Error 3.756 Observations 10.000 ANOVA df SS MS F Significance F Regression 1.000 1,285.245 1,285.245 91.105 0.000 Residual 8.000 112.858 14.107 Total 9.000 1,398.103 Coefficients itandard Erroi 7.995 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) Intercept 4.157 1.923 0.091 17.581 (1.591) 17.581 Years in College 12.675 1.328 9.545 0.000 9.613 15.737 9.613 15.737
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.959 0.919 Adjusted R Square 0.909 Standard Error 3.756 Observations 10.000 ANOVA df SS MS F Significance F Regression 1.000 1,285.245 1,285.245 91.105 0.000 Residual 8.000 112.858 14.107 Total 9.000 1,398.103 Coefficients itandard Erroi 7.995 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) Intercept 4.157 1.923 0.091 17.581 (1.591) 17.581 Years in College 12.675 1.328 9.545 0.000 9.613 15.737 9.613 15.737
The following sample data contains the number of years of college and the current annual salary for a random sample of heavy equipment salespeople. A researcher believes that spending more years in college leads to higher annual income. (80 points) Annual Income Years in College (In Thousands) 31.2 2 35.9 2 39.0 54.6 4 43.7 3 28.1 57.7 4 46.8 62.4 4. 60.8 4 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000
Transcribed Image Text:The following sample data contains the number of years of college and the current annual salary for a random sample of heavy equipment salespeople. A researcher believes that spending more years in college leads to higher annual income. (80 points) Annual Income Years in College (In Thousands) 31.2 2 35.9 2 39.0 54.6 4 43.7 3 28.1 57.7 4 46.8 62.4 4. 60.8 4 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000
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