assignment7

0 5 re si d ua l 3 0 fr e q ue ncy residuals v ers us

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Unformatted text preview: 0.06414 0.14341 0.06414 T 76.551 47.769 31.344 1.898 0.314 PRESS = 2.57085 R-Sq(pred) = 99.05% P 0.000 0.000 0.000 0.072 0.757 R-Sq(adj) = 99.27% Analysis of Variance for Replicates Source Regression Linear Square Interaction Residual Error DF 4 2 1 1 20 Seq SS 268.849 268.545 0.296 0.008 1.645 Adj SS 268.849 268.545 0.296 0.008 1.645 Adj MS 67.212 134.272 0.296 0.008 0.082 F 817.00 1632.15 3.60 0.10 P 0.000 0.000 0.072 0.757 1.200 1.225 Pure Error Total 20 24 1.645 270.495 1.645 0.082 Unusual Observations for Replicates Obs 17 StdOrder 17 Replicates 11.696 Fit 11.125 SE Fit 0.128 Residual 0.571 St Resid 2.23 R R denotes an observation with a large standardized residual. Estimated Regression Coefficients for Replicates using data in uncoded units Term Constant A B A*A A*B Coef 9.81930 3.06367 2.01027 0.272187 0.0201165 Regression model: y = �0 + �1x1 + �2x2 + �11x12 + �11x12 + �12x1x2 = 9.81930 + 3.063674x1 + 2.01027x2 + 0.272187x12 + 0.0201165x1x2 Nor mal Pr obabil ity Plot (response is Replicates) 99 95 90 Percent 80 70 60 50 40 30 20 10 5 1 -0.75 -0.50 -0.25 0.00 Residual 0....
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