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
- Analyze differences between population means using the GLM and TTEST procedures
- Detect and analyze interactions between factors
- Perform ANOVA post hoc test to evaluate treatment effect
2. Linear Regression - 20%
- 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
- 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%
- Interpret the output of the LOGISTIC procedure
- Score new data sets using the LOGISTIC and PLM procedures
- Perform logistic regression with the LOGISTIC procedure
- Optimize model performance through input selection
4. Prepare Inputs for Predictive Model Performance - 20%
- Screen variables for non-linearity using empirical logit plots
- 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
5. Measure Model Performance - 25%
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- Assess classifier performance using the confusion matrix
- Model selection and validation using training and validation data
- Establish effective decision cut-off values for scoring
- Apply the principles of honest assessment to model performance measurement
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
- Anyone writing & interested in Statistical Business Analysis
- Business Analyst
- Stastical Analyst, or
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification Path
The A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification is one of the highest level of certification mainly focussing to the Advanced statistical analysis.
if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.
For more info visit:
Predictive Modeling Using Logistic Regression Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare Inputs for Predictive Modeling | 20% | - Transform categorical variables - Identify data preparation challenges - Manipulate data using DATA step - Screen variables with CORR procedure and empirical logit plots |
| Topic 2: Logistic Regression | 25% | - Score new datasets with LOGISTIC and PLM - Interpret odds ratios and model coefficients - Select and optimize input variables - Build models using PROC LOGISTIC |
| Topic 3: Linear Regression | 20% | - Conduct residual and diagnostic analysis - Fit multiple linear regression models - Perform model selection with GLMSELECT - Interpret REG, GLM, and PLM procedure output |
| Topic 4: Analysis of Variance (ANOVA) | 10% | - Perform post-hoc tests - Analyze factor interactions - Use PROC GLM for ANOVA - Assess ANOVA assumptions |
| Topic 5: Measure and Evaluate Model Performance | 25% | - Apply honest assessment principles - Create and interpret ROC, lift, and gains charts - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Validate models with training/validation data |
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