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| Section | Weight | Objectives |
|---|---|---|
| Building and Assessing Segmentation Models | 28% | - Supervised segmentation using decision trees - Assess and interpret decision tree performance - Unsupervised segmentation using cluster analysis - Interpret and analyze cluster results |
| SAS Visual Statistics Cross-Functional Tasks | 22% | - Prepare data using SAS Visual Analytics - Use interactive group-by functionality - Perform model validation - Filter data for modeling |
| Building and Assessing Regression-Type Models | 41% | - Explain linear model concepts and assumptions - Perform nonparametric logistic regression modeling - Build generalized additive models - Evaluate linear regression model results - Interpret and validate regression model outputs - Perform linear regression modeling |
| Model Comparison and Scoring | 9% | - Interpret scoring results - Apply models to score new data - Compare multiple models using appropriate metrics |
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