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| Section | Weight | Objectives |
|---|---|---|
| Model Comparison and Scoring | 10% | - Compare multiple models using fit statistics - Generate and apply model score code - Interpret scoring outputs |
| Building and Assessing Regression-Type Models | 40% | - Perform linear regression modeling - Assess model assumptions and results - Perform generalized linear regression modeling - Explain linear model concepts - Perform logistic regression modeling |
| SAS Visual Statistics Cross-Functional Tasks | 18% | - Prepare data using SAS Visual Analytics - Perform model validation and goodness-of-fit assessment - Use interactive group-by and variable transformation - Filter and subset data for modeling |
| Building and Assessing Segmentation Models | 32% | - Interpret and evaluate cluster results - Supervised segmentation using decision trees - Assess decision tree performance and splits - Unsupervised segmentation using cluster analysis |
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