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

  • Exam Code: A00-240
  • Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
  • Updated: Aug 06, 2026
  • Q & A: 100 Questions and Answers

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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%

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

2. Linear Regression - 20%

  • Fit a multiple linear regression model using the REG and GLM procedures
  • Assess the validity of a given regression model through the use of diagnostic and residual analysis
  • 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

3. Logistic Regression - 25%

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

4. Prepare Inputs for Predictive Model Performance - 20%

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

5. Measure Model Performance - 25%

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

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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SASInstitute A00-240 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Logistic Regression25%- Select and optimize input variables
- Interpret odds ratios and model coefficients
- Score new datasets with LOGISTIC and PLM
- Build models using PROC LOGISTIC
Topic 2: Linear Regression20%- Fit multiple linear regression models
- Interpret REG, GLM, and PLM procedure output
- Conduct residual and diagnostic analysis
- Perform model selection with GLMSELECT
Topic 3: Measure and Evaluate Model Performance25%- Determine optimal decision cut-off values
- Apply honest assessment principles
- Create and interpret ROC, lift, and gains charts
- Use confusion matrices and classification metrics
- Validate models with training/validation data
Topic 4: Prepare Inputs for Predictive Modeling20%- Screen variables with CORR procedure and empirical logit plots
- Identify data preparation challenges
- Manipulate data using DATA step
- Transform categorical variables
Topic 5: Analysis of Variance (ANOVA)10%- Analyze factor interactions
- Perform post-hoc tests
- Assess ANOVA assumptions
- Use PROC GLM for ANOVA

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