# hw 8 - SUMMARY OUTPUT Regression Statistics Multiple R...

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Unformatted text preview: SUMMARY OUTPUT Regression Statistics Multiple R 0.885641 R Square 0.78436 Adjusted R Square 0.745153 Standard Error 45.54648 Observations 14 ANOVA df SS MS Regression 2 83002.13079 41501.0654 Residual 11 22819.29778 2074.481616 Total 13 105821.4286 Coefficient s Standard Error t Stat Intercept 568.3178 184.6195158 3.07831923 X Variable 1 23.87175 5.92216702 4.030914098 X Variable 2 124.8739 19.74163059 6.325410015 F Significanc e F 20.00551129 0.000217 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.010502769 161.973 974.6626 161.973 974.662 6 0.001978908 10.83714 36.90635 10.83714 36.9063 5 5.63432E-05 81.42287 168.3249 81.42287 168.324 9 RESIDUAL OUTPUT Observatio n Predicte d Y Residuals 1 1336.988-107.9880438 2 1523.928 26.0715074 3 1330.567 28.43265428 4 1410.085-60.08493516 5 1491.249-32.24887336 6 1474.539 5.461349214 7 1298.793 10.20675067 8 1270.147 39.8528465 9 1317.891 32.10935344 10 1368.762-8.762140164 11 1385.472 14.52763727 12 1318.631-8.631472455 13 1464.99 35.01004782 14 1433.957 26.04331831 1. A. Significance of mileage in a multiple regression of R&M expenses on mileage and age. Expenses = 1385.665 + 23.87175* Miles The slope coefficient for the variable Miles = 23.87175 indicates that an increase in Miles travelled by 1 thousand miles per truck is associated with a 23.87175 increase in R&M expenses holding others fixed.thousand miles per truck is associated with a 23....
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## This note was uploaded on 04/07/2008 for the course ECON 221 taught by Professor Mukhopadaya during the Fall '07 term at Emory.

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hw 8 - SUMMARY OUTPUT Regression Statistics Multiple R...

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