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SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000 ANOVA Significance F df 1.000 SS MS Regression 1,285.245 1,285.245 91.105 0.000 Residual 8.000 112.858 14.107 Total 9.000 1,398.103 t Stat Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) 9.613 Coefficients itandard Erroi P-value Intercept 7.995 4.157 1.923 0.091 17.581 (1.591) 17.581 Years in College 12.675 1.328 9.545 0.000 15.737 9.613 15.737 a) Which variable is the dependent variable? Which is the independent variable? (

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000 ANOVA Significance F df 1.000 SS MS Regression 1,285.245 1,285.245 91.105 0.000 Residual 8.000 112.858 14.107 Total 9.000 1,398.103 t Stat Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) 9.613 Coefficients itandard Erroi P-value Intercept 7.995 4.157 1.923 0.091 17.581 (1.591) 17.581 Years in College 12.675 1.328 9.545 0.000 15.737 9.613 15.737 a) Which variable is the dependent variable? Which is the independent variable? (

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000 ANOVA df SS MS Significance F 1.000 1,285.245 Regression Residual 1,285.245 91.105 0.000 8.000 112.858 14.107 Total 9.000 1,398.103 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) Coefficients itandard Erroi Intercept 7.995 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 a) Which variable is the dependent variable? Which is the independent variable? For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt I !!!
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000 ANOVA df SS MS Significance F 1.000 1,285.245 Regression Residual 1,285.245 91.105 0.000 8.000 112.858 14.107 Total 9.000 1,398.103 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) Coefficients itandard Erroi Intercept 7.995 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 a) Which variable is the dependent variable? Which is the independent variable? For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt I !!!
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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