SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Practice Exam
SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
Designed for SAS professionals who use SAS/STAT® software to conduct and interpret complex statistical data analysis. The SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling exam tests the candidate’s abilities in the areas such as analysis of variance, linear and logistic regression, preparing inputs for predictive models, measuring model performance.
Course Structure
The important domains and their topics that the SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling exam covers are:
1. ANOVA - 10%
● Verify the assumptions of ANOVA
● Analyze differences between population means using the GLM and TTEST procedures
● Perform ANOVA post hoc test to evaluate treatment effect
● Detect and analyze interactions between factors
2. Linear Regression - 20%
● Fit a multiple linear regression model using the REG and GLM procedures
● 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
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%
● 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
● Screen variables for non-linearity using empirical logit plots
5. Measure Model Performance - 25%
● Apply the principles of honest assessment to model performance measurement
● Assess classifier performance using the confusion matrix
● Model selection and validation using training and validation data
● Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
● Establish effective decision cut-off values for scoring
Exam Format
- Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
- Exam Number: A00-240
- Number of Questions: 60
- Exam Format: Multiple-choice
- Time Give: 2 hours
- Passing score: 68%
- Exam fee: €160 EUR
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