An in-depth look at regression analysis in quality control, written from the quality control practitioner's viewpoint. This comprehensive approach includes specification of goals followed by steps to be taken in the modeling process...method of least squares...a complete numeric example of the one-predictor model...inverse regression (calibration)...multiple regression...techniques for finding causes of quality variation.

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