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 14, 2026     Q & A: 100 Questions and Answers

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About SASInstitute A00-240 Exam

SASInstitute A00-240 exam is an essential credential for individuals who want to showcase their expertise in statistical analysis and modeling using SAS software. A00-240 exam covers a wide range of topics and tests the candidate's understanding of SAS software and statistical concepts. By earning this credential, candidates can enhance their career prospects and demonstrate their proficiency in SAS software and statistical analysis.

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

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%

  • Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
  • Use the REG or GLMSELECT procedure to perform model selection
  • 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
  • Interpret the output of the LOGISTIC procedure
  • Perform logistic regression with 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 non-linearity using empirical logit plots
  • 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

5. Measure Model Performance - 25%

  • Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
  • 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
  • Assess classifier performance using the confusion matrix

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SASInstitute A00-240 exam is designed for professionals who want to enhance their skills in statistical business analysis using SAS 9. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification program is perfect for individuals who want to gain a deep understanding of regression and modeling techniques. SAS is one of the top analytics platforms in the world, and the SASInstitute A00-240 exam ensures that professionals are equipped with the most up-to-date knowledge and skills to use this platform effectively.

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SASInstitute A00-240 Exam Syllabus Topics:

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

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