SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential : A00-240

A00-240 real exams

Exam Code: A00-240

Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

Updated: Sep 26, 2026

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The A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification is one of the highest level of certification mainly focussing to the Advanced statistical analysis.

if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.

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

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SASInstitute A00-240 Exam Syllabus Topics:

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

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