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