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: Jul 27, 2026
  • Q & A: 100 Questions and Answers

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How to book A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exams

The registration for the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam follows the steps given below.

  • Step 1 : Visit to website Pearson VUE
  • Step 2 : Navigate To Certifications
  • Step 3 : Search for the exam name A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling
  • Step 4 : Book the exam.

Reference: https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html

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Getting a professional certification in the SAS domain is indeed a wise decision as there are immense benefits of this credential.

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SASInstitute A00-240 Exam Syllabus Topics:

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

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