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: Sep 15, 2026

Q & A: 100 Questions and Answers

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About SASInstitute A00-240 Exam

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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
Exam Price:$180 USD
Certificate Validity Period:3 years
Available Languages:Japanese, English, Chinese (Simplified)
Exam Format:Multiple Choice, Short Answer
Passing Score:68%
Exam Duration:110 minutes
Related Certifications:SAS Certified Advanced Analytics Professional Using SAS 9
Real Exam Qty:60-65
Recommended Training:SAS Statistical Business Analysis Using SAS 9: Regression and Modeling
SAS Exam Content Guide A00-240
Exam Registration:SAS Certification Portal
Pearson VUE Registration
Sample Questions:Free Download A00-240 prep4sure dumps
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:

SectionWeightObjectives
Topic 1: Prepare Inputs for Predictive Modeling20%- Identify data preparation challenges
- Manipulate data using DATA step
- Screen variables with CORR procedure and empirical logit plots
- Transform categorical variables
Topic 2: Measure and Evaluate Model Performance25%- Use confusion matrices and classification metrics
- Validate models with training/validation data
- Apply honest assessment principles
- Create and interpret ROC, lift, and gains charts
- Determine optimal decision cut-off values
Topic 3: Logistic Regression25%- Select and optimize input variables
- Build models using PROC LOGISTIC
- Score new datasets with LOGISTIC and PLM
- Interpret odds ratios and model coefficients
Topic 4: Linear Regression20%- Interpret REG, GLM, and PLM procedure output
- Perform model selection with GLMSELECT
- Conduct residual and diagnostic analysis
- Fit multiple linear regression models
Topic 5: Analysis of Variance (ANOVA)10%- Use PROC GLM for ANOVA
- Assess ANOVA assumptions
- Analyze factor interactions
- Perform post-hoc tests

A00-240 Exam FAQ: Pooling Efforts With SASInstitute Candidates

SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential is an official SAS Institute certification exam, registered under the code A00-240. Passing it awards the SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification, a credential at the Specialist level. It also connects to SAS Certified Advanced Analytics Professional Using SAS 9. Successfully passing matters to every candidate because the credential keeps working for your career long after exam day.

You will answer 60-65 questions within 110 minutes on the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam. That combination rewards candidates who practiced under realistic timing, so make timed sessions in the TestkingPDF engine a daily habit; one to two hours a day is enough when every minute rehearses the real thing.

SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential requires 68% to pass, and official registration costs $180 USD. Since every retake charges $180 USD again, diligent daily practice is the cheapest strategy available. Let your TestkingPDF practice scores confirm readiness across several consecutive sessions before you book.

SAS Institute recommends the following training for SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential candidates.

Training broadens your technology knowledge; the 100 practice questions in the TestkingPDF A00-240 package sharpen it into exam-day scoring ability.

Sign-up for SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential runs through the official channels below.

One logistics note: the exam is delivered Computer-based testing at Pearson VUE centers or online proctored.

No formal prerequisites; recommended knowledge of SAS programming and basic statistics

Vendor requirements do change, so verify the current conditions before registering on the official exam page.

The SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential blueprint covers 5 domains, with the largest being Analysis of Variance (ANOVA) (10%), Prepare Inputs for Predictive Modeling (20%), and Linear Regression (20%). The full topic list is above on this page; it tells you exactly where your daily hour or two earns the most marks.

Yes, download the free demo of the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential questions before deciding, and read former customers' comments for an independent verdict. After purchase, new versions download free for one year, and when your product expires you can extend the update service at a 50% discount. Returning customers also enjoy bountiful discounts on future exams.

Your purchase carries a 100% money-back guarantee with defined conditions. Take the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, with your original purchase keeping its update service.

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions:

Question #1

Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

  • A. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
  • B. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
  • C. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
  • D. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

  • A. Candidate 1, because the area outside the curve is greater
  • B. Candidate 2, because the area under the curve is greater
  • C. Candidate 2, because it shows less over fit than Candidate 1
  • D. Candidate 1, because it is closer to the diagonal reference curve
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

  • A. The predicted lift if the entire population is scored as event cases
  • B. The predicted lift if 50% of the population are randomly scored as event cases
  • C. The predicted lift for the best 50% of validation data cases
  • D. The predicted lift if none of the population are scored as event cases
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

Refer to the REG procedure output:

Click on the calculator button to display a calculator if needed.

  • A. 0.4115
  • B. 0.5884
  • C. 0.6994
  • D. 0.1372
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?

  • A. Weighted sum of chi-square statistics for 2x2 tables
  • B. Concordant and discordant pairs of ranked observations
  • C. Rank-ordered values of the variables
  • D. Logit link (log (p/1-p))
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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