MANE 6313

Week 14, Module B

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

Appraise Model Assumptions Using Residual Analysis

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Normality Assumption

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Standardized Residuals

• Your instructor could not make rstandard() function work with residuals from rsm() model
• The code to create standardized residuals is shown below

rmse.model2 <- sqrt(sum(ccd1.model2$residuals^2)/ccd1.model2$df.residual)
model2.stdres <- ccd1.model2$residuals/rmse.model2

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Residuals vs. Fitted Values

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Residuals vs. x1

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Residuals vs. x2

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Residuals vs. x3

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Residuals vs. x4

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Residuals vs. x5