SASInstitute A00-240 exam dumps : 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 29, 2026     Q & A: 100 Questions and Answers

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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.

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

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.

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Professional salary

The average salary of a A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Expert in

  • Europe - 45,347 EURO
  • India - 8,42,327 INR
  • England - 46,632 POUND
  • United State - 70,247 USD

SASInstitute A00-240 Exam Syllabus Topics:

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

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