Regression Modeling Chapter 10 Design Analysis of Experiments

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Regression Modeling Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 1

Regression Modeling Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 1

Design and Analysis of Engineering Experiments Ali Ahmad, Ph. D Chapter 10 Based on

Design and Analysis of Engineering Experiments Ali Ahmad, Ph. D Chapter 10 Based on Design & Analysis of Experiments 7 E 2009 2

Regression models are empirical as opposed to mechanistic models Regression modeling is often performed

Regression models are empirical as opposed to mechanistic models Regression modeling is often performed on undesigned or unplanned data Regression modeling is also used extensively to build models to data from designed experiments Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 3

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 5

L is minimized by taking derivatives with respect to the model parameters and equating

L is minimized by taking derivatives with respect to the model parameters and equating to zero Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 6

Taking the derivatives and equating to zero results in: Chapter 10 Design & Analysis

Taking the derivatives and equating to zero results in: Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 7

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 8

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Mean square error Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery

Mean square error Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 11

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 26

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 27

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 28

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 29

The test uses an ANOVA approach. The regression or model sum of squares is

The test uses an ANOVA approach. The regression or model sum of squares is See Table 10. 4 for the viscosity regression model Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 30

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 31

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 32

See Table 10. 4 for the viscosity regression model Chapter 10 Design & Analysis

See Table 10. 4 for the viscosity regression model Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 33

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 34

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 35

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 37

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 38

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 39

Prediction intervals are useful when running conformation experiments If the new observation falls within

Prediction intervals are useful when running conformation experiments If the new observation falls within the prediction interval that is some evidence that the model is reliable Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 40

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10. 7 Regression Model Diagnostics Scaled residuals and PRESS Standardized residual Studentized residual Chapter

10. 7 Regression Model Diagnostics Scaled residuals and PRESS Standardized residual Studentized residual Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 43

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 44

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 45

Influence Diagnostics Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 46

Influence Diagnostics Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 46

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 47

10. 8 Testing for Lack of Fit Very important test in both general regression

10. 8 Testing for Lack of Fit Very important test in both general regression modeling and in analysis of a designed experiment Does the chosen model adequately fit the data, or should higherorder terms be considered? A statistical test can be performed provided that the error term can be decomposed into the two components shown below: Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 48

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Chapter 10 Design & Analysis of Experiments 7 E 2009 Montgomery 49

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