MANE 6313
Week 14, Module A
Student Learning Outcome
- Select an appropriate experimental design with one or more factors,
- Select an appropriate model with one or more factors,
- Evaluate statistical analyses of experimental designs,
- Assess the model adequacy of any experimental design, and
- Interpret model results.
Module Learning Outcome
Evaluate central composite designs using R
Central Composite Design in R
ccd.pick()
Example Problem
Data from Example Problem
ccd() to Create Data Frame
ccd() with Uncoded Data
Adding Response Variable
First Model - Coefficients
First Model - Anova
Model Refinement
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Used \(\alpha=0.05\) for decision making
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Terms to Keep (8)
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x1, x2, x3, x1:x2, x1:x3, x1^2, x2^2, x3^2
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Terms to Remove (12)
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x4, x5, x1:x4, x1:x5, x2:x3, x2:x4, x2:x5, x3:x4, x3:x5, x4:x5, x4^2, x5^2
Reduced Model
Partial F-test
