Updated: Sep 08, 2026
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| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Statistical Business Analysis Using SAS 9: Regression and Modeling |
| Exam Number: | A00-240 |
| Exam Duration: | 110 minutes |
| Available Languages: | Chinese (Simplified), English, Japanese |
| Passing Score: | 68% |
| Exam Price: | $180 USD |
| Exam Format: | Short Answer, Multiple Choice |
| Certificate Validity Period: | 3 years |
| Related Certifications: | SAS Certified Advanced Analytics Professional Using SAS 9 |
| Real Exam Qty: | 60-65 |
| Recommended Training: | SAS Exam Content Guide A00-240 SAS Statistical Business Analysis Using SAS 9: Regression and Modeling |
| Exam Registration: | SAS Certification Portal Pearson VUE Registration |
| Sample Questions: | SASInstitute A00-240 Sample Questions |
| Exam Way: | Computer-based testing at Pearson VUE centers or online proctored |
| Pre Condition: | No formal prerequisites; recommended knowledge of SAS programming and basic statistics |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html |
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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.
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
Preparation Guide for A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
Introduction
SAS (previously “Statistical Analysis System”) may be a package suite designed by SAS Institute for advanced analytics, variable analyses, business intelligence, knowledge management, and prognosticative analytics.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam is administered by SAS and Pearson VUE. has created a track for IT professionals to certify as business analyst on SAS. This certification program provides SAS professionals a way to demonstrate their skills. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets SAS's proficiency standards.
SAS® Certified Statistical Business Analyst for SAS®9 this credential is for professionals who use SAS/STAT® software to conduct and interpret complex statistical data analysis.
In this guide, we will cover the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam, A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified professional's salary and all aspects of the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification.
The SAS international Certification Program currently issues versioned accreditation that don't lapse.The version is indicated in the credential name.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measure and Evaluate Model Performance | 25% | - 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 - Apply honest assessment principles |
| Topic 2: Analysis of Variance (ANOVA) | 10% | - Assess ANOVA assumptions - Perform post-hoc tests - Analyze factor interactions - Use PROC GLM for ANOVA |
| Topic 3: Prepare Inputs for Predictive Modeling | 20% | - Transform categorical variables - Identify data preparation challenges - Screen variables with CORR procedure and empirical logit plots - Manipulate data using DATA step |
| Topic 4: Logistic Regression | 25% | - Build models using PROC LOGISTIC - Score new datasets with LOGISTIC and PLM - Select and optimize input variables - Interpret odds ratios and model coefficients |
| Topic 5: Linear Regression | 20% | - Interpret REG, GLM, and PLM procedure output - Conduct residual and diagnostic analysis - Perform model selection with GLMSELECT - Fit multiple linear regression models |
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