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Exam Code: A00-240
Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
Updated: Sep 06, 2026
Q & A: 100 Questions and Answers
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According to SAS, SAS® Certified Statistical Business Analyst for SAS®9 this credentials signifies the upper echelon of SAS programmers who demonstrate a high level of proficiency in SAS® programming expertise.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Statistical Business Analyst in the Company.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam covers the basic and advanced concepts of variance analysis, linear and logistic regression, preparing inputs for predictive models and measuring model performance.
After passing this exam, candidates get a certificate from SAS that helps them to demonstrate their proficiency in A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling to their clients and employers.
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| Section | Weight | Objectives |
|---|---|---|
| Logistic Regression | 25% | - Interpret odds ratios and model coefficients - Build models using PROC LOGISTIC - Select and optimize input variables - Score new datasets with LOGISTIC and PLM |
| Measure and Evaluate Model Performance | 25% | - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Validate models with training/validation data - Create and interpret ROC, lift, and gains charts - Apply honest assessment principles |
| Prepare Inputs for Predictive Modeling | 20% | - Identify data preparation challenges - Manipulate data using DATA step - Transform categorical variables - Screen variables with CORR procedure and empirical logit plots |
| Linear Regression | 20% | - Perform model selection with GLMSELECT - Fit multiple linear regression models - Interpret REG, GLM, and PLM procedure output - Conduct residual and diagnostic analysis |
| Analysis of Variance (ANOVA) | 10% | - Use PROC GLM for ANOVA - Analyze factor interactions - Perform post-hoc tests - Assess ANOVA assumptions |
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