Model Analysis/Reduction
Step 6: Modify Dataset to Meet Residual Assumptions
Step 5: Transform Response Variable
Methodology:
Methodology:
• Fitted value standardized residual plot • Remove redundant response variables
Diagnostic Tools Applied: •
QQ plot to assess the normality of residuals. Residual histogram to identify skewness in the data distribution.
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Transformation Technique: • In cases where the residual histogram indicated right skewness: • Executed a power transformation on the response variable using 𝑦 𝜆 • Determined the optimal 𝜆 , where 0< 𝜆 <1 , to achieve a more normalize the distribution of residuals.
Final Model
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