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Table 2_2reg - SUMMARYOUTPUT df Regression Residual Total...

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SUMMARY OUTPUT Regression Statistics Multiple R 0.8870817 R Square 0.786914 Adjusted R Square 0.7602783 Standard Error 31.227147 Observations 10 ANOVA df SS MS F Significance F Regression 1 28808.922 28808.922 29.543531 0.0006194 Residual 8 7801.0776 975.1347 Total 9 36610 Coefficients tandard Erro t Stat P-value Lower 95% Upper 95% Lower 95.0%Upper 95.0% Intercept 432.41379 16.906074 25.577422 5.85E-009 393.42832 471.39926996 393.4283162 471.39927 X Variable 1 0.0013319 0.000245 5.4353961 0.0006194 0.0007668 0.0018969628 0.00076683 0.001897 RESIDUAL OUTPUT Observation Predicted Y Residuals 1 439.07328 -29.07328 2 452.39224 -32.39224 3 465.71121 -25.71121 4 479.03017 10.969828 5 492.34914 37.650862 6 505.6681 24.331897 7 518.98707 31.012931 8 532.30603 7.6939655 9 552.28448 17.715517 10 632.19828 -42.19828 0 50000 100000 150000 200000 -50 0 50 X Variable 1 Residual Plot X Variable 1 Residuals 0 50000 100000 150000 200000 0 200 400 600 800 X Variable 1 Line Fit Plot Column B Column B X Variable 1 Y
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Table 2.2 A random sample from Table 2-1. Y X XY X^2 B1 B2 e eX e^2 (X-meanX)^2 (Y-mean(Y))^2 410 5000 2050000 25000000 0.0013318966 432.4137931034 -29.0732758621 -145366.379 845.255369352 2601000000 9409 420 15000 6300000 225000000 0.0013318966 432.4137931034 -32.3922413793 -485883.621 1049.25730158 1681000000 7569 440 25000 11000000 625000000 0.0013318966 432.4137931034 -25.7112068966 -642780.172 661.066160077
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