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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: Oct 29, 2026
- Q & A: 100 Questions and Answers
About SASInstitute A00-240 Exam
Confidence comes from progressive practice. The SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential simulator spreads 100 practice questions across a well-balanced mix of difficulty, so each session stretches you without overwhelming you.
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Simple Linear Regression | - Residual analysis - Estimation and inference - Model assumptions and interpretation |
| Topic 2: Model Diagnostics and Validation | - Goodness-of-fit measures - Influence and leverage |
| Topic 3: Logistic Regression | - Model fit and diagnostics - Binary logistic regression |
| Topic 4: Multiple Regression | - Model building and selection - Interaction effects - Multicollinearity diagnostics |
| Topic 5: ANOVA and General Linear Models | - One-way and multi-way ANOVA - GLM procedures in SAS |
Frequently Asked Questions About SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
The package includes 100 practice questions for the A00-240 exam, all verified and arranged in a well-balanced mix of difficulty to support progressive study.
- Logistic Regression ()
- ANOVA and General Linear Models ()
- Model Diagnostics and Validation ()
Let the topic weights guide how you split your study hours.
The SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential questions are spread across a well-proportioned range of difficulty, from fundamentals to challenging items. That distribution lets you build confidence session by session, and by the time the real test approaches, you have already faced everything it can reasonably throw at you.
Recommended: SAS Certified Base Programmer for SAS 9 or equivalent experience with SAS programming and statistical methods.
The A00-240 exam contains 50-60 questions within 120-135 minutes. Rehearsing under the same limit on the BraindumpsPrep simulator builds calm, practiced pacing.
SAS Regression and Modeling Training: Visit official page
SAS Certification Registration: register for A00-240
To pass A00-240 you need Approximately 70%, and the official exam fee is $180 USD (varies by region). Fixing both numbers early keeps your practice target concrete.
Our service comes down to three commitments. First, the staff works around the clock online so customer demands about SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential are met the moment they arise. Second, the team is strictly discreet: customer personal information has never been leaked, and your privacy remains protected. Third, our experts watch the renewal of the question bank, and once a change is found, the updated material goes straight to your mailbox.
SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions:
Question #1
Refer to the exhibit:
The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
- A. Model A. It is more complex with a higher accuracy than model B on training data.
- B. Model B. It is simpler with a higher accuracy than model A on validation data.
- C. Model B. It is more complex with a higher accuracy than model A on validation data.
- D. Model A. It performs better on the boundary for the training data.
Correct Answer: B 🗳️
Question #2
A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.
The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
* Target variable Respond (0, 1)
* Continuous predictor Income
* Categorical predictor Homeowner(Y, N)
Which SAS program performs this analysis?
- A. Option C
- B. Option A
- C. Option B
- D. Option D
Correct Answer: B 🗳️
Question #3
Given the following output from the LOGISTIC procedure:
Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?
- A. Greatest: DOWN_AMTLeast: HOME
- B. Greatest: MBALeast: DOWN_AMT
- C. Greatest: MBALeast: CASH
- D. Greatest: DOWN_AMTLeast: CASH
Correct Answer: D 🗳️
Question #4
Refer to the following exhibit:
What is a correct interpretation of this graph?
- A. The association between the continuous predictor and the binary response is quadratic.
- B. The association between the continuous predictor and the continuous response is quadratic.
- C. The association between the continuous predictor and the log-odds is quadratic.
- D. The association between the binary predictor and the log-odds is quadratic.
Correct Answer: C 🗳️
Question #5
Refer to the exhibit:
Which SAS program produced the graph?
- A. Option C
- B. Option A
- C. Option B
- D. Option D
Correct Answer: C 🗳️
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