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SASInstitute A00-240

A00-240

Exam Code: A00-240

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

Updated: Oct 22, 2026

Q&A Number: 100 Q&As

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About SASInstitute A00-240 Exam dumps / Bootcamp

Topics of A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Dumps will include the following topics:

1. ANOVA - 10%

  • Verify the assumptions of ANOVA
  • Detect and analyze interactions between factors
  • Perform ANOVA post hoc test to evaluate treatment effect
  • Analyze differences between population means using the GLM and TTEST procedures

2. Linear Regression - 20%

  • Use the REG or GLMSELECT procedure to perform model selection
  • Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
  • Assess the validity of a given regression model through the use of diagnostic and residual analysis
  • Fit a multiple linear regression model using the REG and GLM procedures

3. Logistic Regression - 25%

  • Optimize model performance through input selection
  • Score new data sets using the LOGISTIC and PLM procedures
  • Perform logistic regression with the LOGISTIC procedure
  • Interpret the output of the LOGISTIC procedure

4. Prepare Inputs for Predictive Model Performance - 20%

  • Identify the potential challenges when preparing input data for a model
  • Screen variables for irrelevance and non-linear association using the CORR procedure
  • Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
  • Improve the predictive power of categorical inputs
  • Screen variables for non-linearity using empirical logit plots

5. Measure Model Performance - 25%

  • Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
  • Assess classifier performance using the confusion matrix
  • Model selection and validation using training and validation data
  • Establish effective decision cut-off values for scoring
  • Apply the principles of honest assessment to model performance measurement

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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.

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification Path

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.

SASInstitute A00-240 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Screen variables for irrelevance and non-linear association using the CORR procedure
  • Perform logistic regression with the LOGISTIC procedure
Topic 2
  • Assess the validity of a given regression model through the use of diagnostic and residual analysis
  • Prepare Inputs for Predictive Model Performance
Topic 3
  • Apply the principles of honest assessment to model performance measurement
  • Optimize model performance through input selection
Topic 4
  • Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
  • Use the REG or GLMSELECT procedure to perform model selection
Topic 5
  • Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
  • Improve the predictive power of categorical inputs
Topic 6
  • Analyze differences between population means using the GLM and TTEST procedures
  • Assess classifier performance using the confusion matrix
Topic 7
  • Identify the potential challenges when preparing input data for a model
  • Detect and analyze interactions between factors

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

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