In 2026, candidates differ, and so do their needs. That is why the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential package on PracticeVCE is built around flexibility, offering 100 verified practice questions for A00-240 in formats that fit different working lives.
SASInstitute A00-240 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Exam |
| Exam Number: | A00-240 |
| Available Languages: | English |
| Real Exam Qty: | 50-60 |
| Exam Format: | Multiple Choice, Computer-Based Exam (Proctored), Multiple Response |
| Passing Score: | Approximately 70% |
| Exam Price: | $180 USD (varies by region) |
| Related Certifications: | SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling SAS Certified Advanced Programmer for SAS 9 SAS Certified Base Programmer for SAS 9 |
| Exam Duration: | 120-135 |
| Certificate Validity Period: | 3 years |
| Recommended Training: | SAS Regression and Modeling Training |
| Exam Registration: | SAS Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Computer-based proctored exam (online or test center) |
| Pre Condition: | Recommended: SAS Certified Base Programmer for SAS 9 or equivalent experience with SAS programming and statistical methods. |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Multiple Regression | - Multicollinearity diagnostics - Interaction effects - Model building and selection |
| Topic 2: ANOVA and General Linear Models | - GLM procedures in SAS - One-way and multi-way ANOVA |
| Topic 3: Model Diagnostics and Validation | - Influence and leverage - Goodness-of-fit measures |
| Topic 4: Logistic Regression | - Model fit and diagnostics - Binary logistic regression |
| Topic 5: Simple Linear Regression | - Residual analysis - Model assumptions and interpretation - Estimation and inference |
Frequently Asked Questions About SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
The SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential questions are written and organized by senior experts and experienced specialists so that your study time concentrates on the most test-relevant knowledge. Instead of spreading your effort across endless coverage, you practice what the A00-240 exam actually weighs, which raises your learning efficiency session by session.
The real A00-240 exam gives you 120-135 minutes for 50-60 questions. Rehearsing under the same conditions on the PracticeVCE engine builds the pacing you will rely on.
- Multiple Regression ()
- Logistic Regression ()
- Simple Linear Regression ()
Let the weights decide where your hours go first.
Three versions cover different working lives. The PDF downloads for learning at any time. The PC test engine runs on unlimited computers, so you can study on screens at home and at the workplace. The online engine works on any electronic equipment, with no device limit and offline use supported, so practice never depends on your location.
The package contains 100 practice questions for the A00-240 exam, all verified by senior experts and organized for focused, efficient revision.
To pass A00-240 you need Approximately 70%, and the official exam fee is $180 USD (varies by region). Fixing both figures early keeps your target concrete and your budget planned.
SAS Certification Registration: register for A00-240
SAS Regression and Modeling Training: Visit official page
Recommended: SAS Certified Base Programmer for SAS 9 or equivalent experience with SAS programming and statistical methods.
SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions:
Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
- A. Accuracy = 83/102, Error Rate = 67/102
- B. Accuracy = 25/150, Error Rate = 44/150
- C. Accuracy = 83/150, Error Rate = 67/150
- D. Accuracy = 58/102, Error Rate = 23/48
Correct Answer: D 🗳️
When working with smaller data sets (N<200), which method is preferred to perform honest assessment?
- A. K-fold cross validation
- B. Use the AIC goodness of fit statistic
- C. Cross validation using 4th quartile observations
- D. Training: 40% Validation: 30% Testing: 30%
Correct Answer: C 🗳️
Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
- A. Option D
- B. Option A
- C. Option C
- D. Option B
Correct Answer: A 🗳️
What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?
- A. It requires extra computational effort and time.
- B. It omits the training (and test) data sets from the benefits of the cleansing methods.
- C. There is no ability to compare the effectiveness of different cleansing methods.
- D. It violates assumptions of the model.
Correct Answer: C 🗳️
Refer to the exhibit:
An analyst examined logistic regression models for predicting whether a customer would make a purchase.
The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule,
25% of the customers who did not make a purchase are incorrectly classified as purchasers.
What can be concluded from the graph?
- A. About 25% of the customers who did make a purchase are correctly classified as making a purchase.
- B. About 50% of the customers who did make a purchase are correctly classified as making a purchase.
- C. About 85% of the customers who did make a purchase are correctly classified as making a purchase.
- D. About 95% of the customers who did make a purchase are correctly classified as making a purchase.
Correct Answer: C 🗳️
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