assignment7

81930 306367 201027 0272187 00201165 regression model

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Unformatted text preview: cates 0.219 0.181 Fit 0.199 0.199 SE Fit 0.003 0.003 Residual 0.019 -0.018 St Resid 3.10 R -2.91 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 0.101900 -0.0386200 -0.0281300 0.0146300 0.0160800 y = �0 + �1x1 + �2x2 + �11x12 + �12x1x2 = 0.101900 - 0.0386200x1 - 0.0281300x2 + 0.0146300x12 + 0.0160800 x1x2 Nor mal Pr obabil ity Plot (response is Replicates) 99 95 90 Percent 80 70 60 50 40 30 20 10 5 1 -0.02 -0.01 0.00 Residual 0.01 0.02 The normal probability plot looks skewed, with very little data lying on the blue line. The residuals do not seem to be following a normal distribution. Ver sus Fi ts (response is Replicates) 0.02 Residual 0.01 0.00 -0.01 -0.02 0.050 0.075 0.100 0.125 0.150 Fitted Value 0.175 0.200 Variances of the residuals is shown to grow with increasing fitted values. However, the residuals are equally distributed above and below the center l...
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This document was uploaded on 03/20/2014 for the course EECS 6.780J at MIT.

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