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Sp08 Solution - 8 133104 8.1 133306.35 8.2 133709.4 8.3...

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Assignment 1 4-Feb-08 Solution Batch Labor X Y X^2 XY Y-Hat Residual Residual^2 1 46 678 2116 31188 835.98 -158 24957.31 2 14 407 196 5698 581.61 -175 30486.96 3 100 1211 10000 121100 1265.23 -54 2941.37 4 75 965 5625 72375 1066.50 -102 10303.26 5 23 633 529 14559 653.15 -20 405.93 6 52 836 2704 43472 883.67 -48 2272.80 7 62 1063 3844 65906 963.17 100 9966.89 8 27 751 729 20277 684.94 66 4363.34 9 46 898 2116 41308 835.98 62 3846.63 10 83 1284 6889 106572 1130.10 154 23685.71 11 5 549 25 2745 510.06 39 1516.13 12 14 717 196 10038 581.61 135 18331.77 547 9992 34969 535238 9992 133078.08 SS xy 79769.33 b1 7.949 SS xx 10034.92 x-bar 45.583 y-bar 833 b0 470.32 Summary of Fit Rsquare 0.83 R 0.91 Root MSE 115.36 Mean of Resp 833 Observations 12 ANOVA Source df SS MS F Prob > F Model 1 634100.59 634100.59 47.65 0.00004 Error 10 133078.08 13307.81 Total 11 767178.67 Parameter Estimates Term Estimate StdError T-Ratio Prob > |t| Intercept 470.317 Batch 7.949 1.15 6.90 0.00004 Data Table SSE Estimates for b1 133078.08 7 142118.92 7.1 140314.28 7.2 138710.35 7.3 137307.11 Residual
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7.4 136104.57 7.5 135102.73 7.6 134301.59 7.7 133701.14 7.8 133301.4 7.9 133102.35 8
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Unformatted text preview: 8 133104 8.1 133306.35 8.2 133709.4 8.3 134313.14 8.4 135117.59 8.5 136122.73 8.6 137328.57 8.7 138735.11 8.8 140342.35 8.9 142150.28 7 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 20000 40000 60000 80000 100000 120000 140000 SSR by b S SSR Total Error 23922 181192 143136 17512 39867 11 53053 6669 4268 203702 80467 13379 767178.67 400.00 500.00 600.00 700.00 800.00 900.00 1000.00 1100.00 1200.00 1300.00 1400.00-200-150-100-50 50 100 150 200 Residuals by Predicted Y-Hat 2 4 6 8 10 12 14-200-150-100-50 50 100 150 200 f(x) = 27.38x - 177.95 Residuals by Row Row Residual 20 40 60 80 100-200-150-100-50 50 100 150 200 Residuals by X X 20 40 60 80 100 120 200 400 600 800 1000 1200 1400 f(x) = 7.95x + 470.32 R² = 0.83 7.9 8 8.1 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 b1 values Slope 120...
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  • Spring '07
  • LLClark
  • Harshad number, Y-Hat Residual Residual^2, x-bar y-bar b0, xy SS xx, Resp Observations ANOVA, Rsquare Root MSE

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