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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%
- Analyze differences between population means using the GLM and TTEST procedures
- Detect and analyze interactions between factors
- Verify the assumptions of ANOVA
- Perform ANOVA post hoc test to evaluate treatment effect
2. Linear Regression - 20%
- Use the REG or GLMSELECT procedure to perform model selection
- 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
- 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
- Interpret the output of the LOGISTIC procedure
- Perform logistic regression with the LOGISTIC procedure
- Score new data sets using the LOGISTIC and PLM procedures
4. Prepare Inputs for Predictive Model Performance - 20%
- Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
- Screen variables for irrelevance and non-linear association using the CORR procedure
- Identify the potential challenges when preparing input data for a model
- Improve the predictive power of categorical inputs
- Screen variables for non-linearity using empirical logit plots
5. Measure Model Performance - 25%
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- 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
- Model selection and validation using training and validation data
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