Question: 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
The article €œExperimental 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.)

Of the following, which is the best next step in the analysis?
i. Nothing needs to be done. This model is fine.
ii. Drop x21 , x22 , and x23 from the model, and then perform an F test.
iii. Drop x1x2, x1x3, and x2x3 from the model, and then perform an F test.
iv. Drop x1 and x21 from the model, and then perform an F test.
v. Add cubic terms x31 , x32 , and x33 to the model to try to improve the fit.
Predictor Coefficient Constant 1.603 X1 -0.619 -22.289 0.000 X2 0.086 3.084 0.018 X3 0.306 11.011 0.000 0.272 8.542 0.000 0.057 1.802 0.115 0.105 3.300 0.013 X1X2 -0.022 -0.630 0.549 X1X3 -0.036 -1.004 0.349 X2X3 0.036 1.018 0.343
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