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SASInstitute A00-273 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building and Assessing Segmentation Models32%- Assess decision tree performance and splits
- Supervised segmentation using decision trees
- Interpret and evaluate cluster results
- Unsupervised segmentation using cluster analysis
Topic 2: SAS Visual Statistics Cross-Functional Tasks18%- Prepare data using SAS Visual Analytics
- Use interactive group-by and variable transformation
- Filter and subset data for modeling
- Perform model validation and goodness-of-fit assessment
Topic 3: Model Comparison and Scoring10%- Compare multiple models using fit statistics
- Generate and apply model score code
- Interpret scoring outputs
Topic 4: Building and Assessing Regression-Type Models40%- Perform linear regression modeling
- Perform generalized linear regression modeling
- Explain linear model concepts
- Perform logistic regression modeling
- Assess model assumptions and results
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