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SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare Inputs for Predictive Modeling | 20% | - Transform categorical variables - Identify data preparation challenges - Screen variables with CORR procedure and empirical logit plots - Manipulate data using DATA step |
| Topic 2: Measure and Evaluate Model Performance | 25% | - Validate models with training/validation data - Create and interpret ROC, lift, and gains charts - Use confusion matrices and classification metrics - Apply honest assessment principles - Determine optimal decision cut-off values |
| Topic 3: Analysis of Variance (ANOVA) | 10% | - Analyze factor interactions - Perform post-hoc tests - Assess ANOVA assumptions - Use PROC GLM for ANOVA |
| Topic 4: Linear Regression | 20% | - Perform model selection with GLMSELECT - Interpret REG, GLM, and PLM procedure output - Conduct residual and diagnostic analysis - Fit multiple linear regression models |
| Topic 5: Logistic Regression | 25% | - Select and optimize input variables - Build models using PROC LOGISTIC - Score new datasets with LOGISTIC and PLM - Interpret odds ratios and model coefficients |
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