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

A00-240 real exams

Exam Code: A00-240

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

Updated: Oct 24, 2026

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

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Introduction to A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

According to SAS, SAS® Certified Statistical Business Analyst for SAS®9 this credentials signifies the upper echelon of SAS programmers who demonstrate a high level of proficiency in SAS® programming expertise.

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Statistical Business Analyst in the Company.

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam covers the basic and advanced concepts of variance analysis, linear and logistic regression, preparing inputs for predictive models and measuring model performance.

After passing this exam, candidates get a certificate from SAS that helps them to demonstrate their proficiency in A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling to their clients and employers.

How much A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam cost

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam cost is $180.

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

SASInstitute A00-240 Exam Syllabus Topics:

SectionObjectives
Topic 1: Model Diagnostics and Validation- Goodness-of-fit measures
- Influence and leverage
Topic 2: Multiple Regression- Model building and selection
- Multicollinearity diagnostics
- Interaction effects
Topic 3: ANOVA and General Linear Models- One-way and multi-way ANOVA
- GLM procedures in SAS
Topic 4: Simple Linear Regression- Residual analysis
- Model assumptions and interpretation
- Estimation and inference
Topic 5: Logistic Regression- Binary logistic regression
- Model fit and diagnostics

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