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


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