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

A00-240

Exam Code: A00-240

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

Updated: Sep 17, 2026

Q & A: 100 Questions and Answers

A00-240 Free Demo download:

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What is the duration, language, and format of A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

  • Number of Questions: 60 multiple-choice and short-answer questions(In addition to the 60 scored items, there may be up to five unscored items)
  • Language: Czech, simplified Chinese, traditional Chinese, Dutch, English (UK), English (US), French, German, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Portuguese (Brazil), Russian, Slovak, Spanish, Spanish (Latin America), Thai, Turkish, and Vietnamese
  • Length of Examination: 120 minutes
  • Format: Multiple choices, multiple answers , short answers
  • Passing score: 68% (Must achieve score of 68 percent correct to pass)

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

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

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SASInstitute A00-240 Exam Syllabus Topics:

SectionWeightObjectives
Analysis of Variance (ANOVA)10%- Assess ANOVA assumptions
- Analyze factor interactions
- Perform post-hoc tests
- Use PROC GLM for ANOVA
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
Measure and Evaluate Model Performance25%- Validate models with training/validation data
- Use confusion matrices and classification metrics
- Create and interpret ROC, lift, and gains charts
- Determine optimal decision cut-off values
- Apply honest assessment principles
Linear Regression20%- Conduct residual and diagnostic analysis
- Perform model selection with GLMSELECT
- Interpret REG, GLM, and PLM procedure output
- Fit multiple linear regression models
Logistic Regression25%- Build models using PROC LOGISTIC
- Interpret odds ratios and model coefficients
- Score new datasets with LOGISTIC and PLM
- Select and optimize input variables
A00-240 Related Exams
A00-212 - SAS Advanced Programming Exam for SAS 9
A00-211 - SAS Base Programming for SAS 9
A00-250 - SAS Platform Administration for SAS9
A00-260 - SAS Data Integration Development
A00-212J - SAS Advanced Programming Exam for SAS 9 (A00-212日本語版)
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SAS Foundation
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