Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
Certification Provider: SASInstitute
Corresponding Certification: SAS Institute Systems Certification
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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%
- 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
- 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
3. Logistic Regression - 25%
- Optimize model performance through input selection
- Perform logistic regression with the LOGISTIC procedure
- Score new data sets using the LOGISTIC and PLM procedures
- 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
- Screen variables for non-linearity using empirical logit plots
- Improve the predictive power of categorical inputs
5. Measure Model Performance - 25%
- Model selection and validation using training and validation data
- Assess classifier performance using the confusion matrix
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- Apply the principles of honest assessment to model performance measurement
- Establish effective decision cut-off values for scoring
Who should take the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
Individuals should pursue the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam if they want to demonstrate their expertise and ability to access and manage data to perform queries and analyses from A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification
- Business Analyst
- Anyone writing & interested in Statistical Business Analysis
- Stastical Analyst, or
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measure and Evaluate Model Performance | 25% | - Validate models with training/validation data - Apply honest assessment principles - Create and interpret ROC, lift, and gains charts - Use confusion matrices and classification metrics - Determine optimal decision cut-off values |
| Topic 2: Logistic Regression | 25% | - Select and optimize input variables - Interpret odds ratios and model coefficients - Score new datasets with LOGISTIC and PLM - Build models using PROC LOGISTIC |
| Topic 3: Linear Regression | 20% | - Perform model selection with GLMSELECT - Conduct residual and diagnostic analysis - Interpret REG, GLM, and PLM procedure output - Fit multiple linear regression models |
| Topic 4: Analysis of Variance (ANOVA) | 10% | - Use PROC GLM for ANOVA - Assess ANOVA assumptions - Analyze factor interactions - Perform post-hoc tests |
| Topic 5: Prepare Inputs for Predictive Modeling | 20% | - Transform categorical variables - Manipulate data using DATA step - Screen variables with CORR procedure and empirical logit plots - Identify data preparation challenges |
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