Question: 3. (25 points) The article Experimental Design Approach for the Optimization of the Separation of Enantiomers in Preparative Liquid Chromatography (S. Lai and Z. Lin,

 3. (25 points) The article "Experimental Design Approach for the Optimization

3. (25 points) The article "Experimental Design Approach for the Optimization of the Separation of Enantiomers in Preparative Liquid Chromatography" (S. Lai and Z. Lin, Separation Science and Technology, 2002: 847-875) describes an experiment involving a chemical process designed to separate enantiomers. A model was fit to estimate the cycle time (y) in terms of the flow rate (x1), sample concentration (x2), and mobile-phase composition (x3). The results of a least-squares fit are presented in the following table. (The article did not provide the value of the t statistic for the constant term). Predictor Coefficient T P Constant 1.603 X -0.619 -22.289 0.000 0.086 3.084 0.018 0.306 11.011 0.000 X1 0.272 8.542 0.000 0.057 1.802 0.115 x2 0.105 3.300 0.013 X1X2 0.022 0.630 0.549 X1 X3 -0.036 -1.004 0.349 X2 X3 0.036 1.018 0.343 Of the following, which is the best next step in the analysis? 2 1 . Nothing needs to be done. This model is fine ii . Drop x], x2 and x? from the model, and then perform an F test. ill . Drop X1X2, X1X3, and x2X3 from the model, and then perform an F test. iV . Drop x1 and x7 from the model, and then perform an F test. V. Add cubic terms x1, x2, and x3 to the model to try to improve the fit

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