SASInstitute A00-240 : SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
- Exam Code: A00-240
- Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
- Updated: Aug 03, 2026
- Q & A: 100 Questions and Answers
About SASInstitute A00-240 Exam
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Who should take the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
Individuals should pursue the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam if they want to demonstrate their expertise and ability to access and manage data to perform queries and analyses from A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification
- Business Analyst
- Stastical Analyst, or
- Anyone writing & interested in Statistical Business Analysis
How to study the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
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SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analysis of Variance (ANOVA) | 10% | - Perform post-hoc tests - Analyze factor interactions - Assess ANOVA assumptions - Use PROC GLM for ANOVA |
| Prepare Inputs for Predictive Modeling | 20% | - Screen variables with CORR procedure and empirical logit plots - Transform categorical variables - Identify data preparation challenges - Manipulate data using DATA step |
| 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 |
| Measure and Evaluate Model Performance | 25% | - Apply honest assessment principles - Create and interpret ROC, lift, and gains charts - Use confusion matrices and classification metrics - Validate models with training/validation data - Determine optimal decision cut-off values |
| Linear Regression | 20% | - Fit multiple linear regression models - Conduct residual and diagnostic analysis - Perform model selection with GLMSELECT - Interpret REG, GLM, and PLM procedure output |
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