- Exam Code: A00-240
- Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
- Updated: Sep 08, 2026
- Q & A: 100 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Logistic Regression | 25% | - Interpret odds ratios and model coefficients - Select and optimize input variables - Score new datasets with LOGISTIC and PLM - Build models using PROC LOGISTIC |
| Topic 2: Analysis of Variance (ANOVA) | 10% | - Analyze factor interactions - Perform post-hoc tests - Assess ANOVA assumptions - Use PROC GLM for ANOVA |
| Topic 3: Measure and Evaluate Model Performance | 25% | - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Validate models with training/validation data - Apply honest assessment principles - Create and interpret ROC, lift, and gains charts |
| Topic 4: 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 |
| Topic 5: Linear Regression | 20% | - Conduct residual and diagnostic analysis - Interpret REG, GLM, and PLM procedure output - Perform model selection with GLMSELECT - Fit multiple linear regression models |
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