Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
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Corresponding Certification: SAS Institute Systems Certification
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SASInstitute A00-240 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Statistical Business Analysis Using SAS 9: Regression and Modeling |
| Exam Number: | A00-240 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 68% |
| Exam Format: | Multiple Choice, Short Answer |
| Exam Price: | $180 USD |
| Real Exam Qty: | 60-65 |
| Exam Duration: | 110 minutes |
| Related Certifications: | SAS Certified Advanced Analytics Professional Using SAS 9 |
| Available Languages: | English, Chinese (Simplified), Japanese |
| Recommended Training: | SAS Exam Content Guide A00-240 SAS Statistical Business Analysis Using SAS 9: Regression and Modeling |
| Exam Registration: | Pearson VUE Registration SAS Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measure and Evaluate Model Performance | 25% | - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Apply honest assessment principles - Create and interpret ROC, lift, and gains charts - Validate models with training/validation data |
| Topic 2: Logistic Regression | 25% | - Interpret odds ratios and model coefficients - Score new datasets with LOGISTIC and PLM - Select and optimize input variables - Build models using PROC LOGISTIC |
| Topic 3: Analysis of Variance (ANOVA) | 10% | - Analyze factor interactions - Assess ANOVA assumptions - Use PROC GLM for ANOVA - Perform post-hoc tests |
| Topic 4: 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 |
| Topic 5: Prepare Inputs for Predictive Modeling | 20% | - Screen variables with CORR procedure and empirical logit plots - Transform categorical variables - Manipulate data using DATA step - Identify data preparation challenges |
A00-240 Exam FAQ: Products, Policy, and Prep
Three versions of the same study materials, each with its own character: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 100 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
No formal prerequisites; recommended knowledge of SAS programming and basic statistics Since requirements change over time, confirm the latest on the official SASInstitute exam page before scheduling.
The official SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential outline defines 5 domains. The leading three are Logistic Regression (25%), Linear Regression (20%), and Measure and Evaluate Model Performance (25%). The full list is in the topics section above, and Prep4away's 100 practice questions cover each one.
SASInstitute recommends these training resources for the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam:
- SAS Statistical Business Analysis Using SAS 9: Regression and Modeling
- SAS Exam Content Guide A00-240
Follow the training with steady self-testing — the 100 practice questions from Prep4away help you apply theory and fill any gaps the training leaves.
The A00-240 exam is a SASInstitute certification exam validating the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential syllabus shown above. It belongs to these credential paths: SAS Certified Advanced Analytics Professional Using SAS 9. Candidates in 2026 prepare for it with Prep4away's 100 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
The SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam requires 68% to pass, and registration costs $180 USD. A failed attempt means paying the same fee again — a readiness check with the Prep4away engines before booking is the cheaper option.
Prep4away issues a full refund if you take the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
Computer-based testing at Pearson VUE centers or online proctored Register for the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam through these official channels:
After booking, Prep4away delivers your practice questions within 1 minute — preparation starts the same day.
The SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam contains 60-65 to complete within 110 minutes. Timed simulation in the Prep4away Desktop Test Engine teaches that rhythm before exam day does.
SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions:
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
- A. Training: 50% Validation: 50% Testing: 0%
- B. Training: 0% Validation: 100% Testing: 0%
- C. Training: 100% Validation: 0% Testing: 0%
- D. Training: 50% Validation: 0% Testing: 50%
Correct Answer: A 🗳️
Refer to the exhibit.
Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?
- A. Collinearity is a problem since all variance inflation values are less than 10.
- B. Collinearity is a problem since all Pr>|t| values are less than 0.05.
- C. Collinearity is not a problem since all Pr>|t| values are less than 0.05.
- D. Collinearity is not a problem since all variance inflation values are less than 10.
Correct Answer: C 🗳️
Refer to the exhibit:
Which SAS program produced the graph?
- A. Option B
- B. Option A
- C. Option D
- D. Option C
Correct Answer: A 🗳️
An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:
What is the most likely reason that the model fails to converge?
- A. There are missing values in the data.
- B. There are too many observations in the data.
- C. There is collinearity among the predictors.
- D. There is quasi-complete separation in the data.
Correct Answer: D 🗳️
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
- A. Simple random sampling without replacement
- B. Simple random sampling with replacement
- C. Stratified random sampling without replacement
- D. Sequential random sampling with replacement
Correct Answer: A,C 🗳️
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