A00-240
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SASInstitute
A00-240 Exam
SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
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SASInstitute A00-240 certification exam is a computer-based exam that consists of 50 multiple-choice and short-answer questions. Candidates are given 2 hours and 15 minutes to complete the exam, and the passing score is 70%. A00-240 exam is administered by Pearson VUE, and candidates can register for the exam online. SASInstitute provides study materials and training courses to help candidates prepare for the exam. These resources include e-learning modules, practice exams, and classroom training.
| Topic | Details |
|---|
| Topic 1 | - Model selection and validation using training and validation data
- Perform ANOVA post hoc test to evaluate treatment effect
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| Topic 2 | - Identify the potential challenges when preparing input data for a model
- Detect and analyze interactions between factors
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| Topic 3 | - Apply the principles of honest assessment to model performance measurement
- Optimize model performance through input selection
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| Topic 4 | - Establish effective decision cut-off values for scoring
- Fit a multiple linear regression model using the REG and GLM procedures
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| Topic 5 | - Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- Use the REG or GLMSELECT procedure to perform model selection
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| Topic 6 | - Assess the validity of a given regression model through the use of diagnostic and residual analysis
- Prepare Inputs for Predictive Model Performance
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SASInstitute A00-240 exam is a challenging exam that requires a solid understanding of statistical analysis and data manipulation techniques. Candidates who pass the exam earn the SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential, which demonstrates their proficiency in using SAS software for statistical analysis and modeling. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification is highly valued by employers, and it can help professionals advance their careers in data analysis and related fields.
