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