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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
- Verify the assumptions of ANOVA
- Detect and analyze interactions between factors
- Perform ANOVA post hoc test to evaluate treatment effect
2. Linear Regression - 20%
- Assess the validity of a given regression model through the use of diagnostic and residual analysis
- Fit a multiple linear regression model using the REG and GLM procedures
- 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
3. Logistic Regression - 25%
- Perform logistic regression with the LOGISTIC procedure
- Optimize model performance through input selection
- 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%
- Screen variables for irrelevance and non-linear association using the CORR procedure
- Identify the potential challenges when preparing input data for a model
- Screen variables for non-linearity using empirical logit plots
- Improve the predictive power of categorical inputs
- Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
5. Measure Model Performance - 25%
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- Apply the principles of honest assessment to model performance measurement
- Assess classifier performance using the confusion matrix
- Establish effective decision cut-off values for scoring
- Model selection and validation using training and validation data
SASInstitute A00-240 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Exam |
| Exam Number: | A00-240 |
| Exam Format: | Multiple Choice, Multiple Response, Computer-Based Exam (Proctored) |
| Available Languages: | English |
| Passing Score: | Approximately 70% |
| Related Certifications: | SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling SAS Certified Advanced Programmer for SAS 9 SAS Certified Base Programmer for SAS 9 |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 120-135 |
| Exam Price: | $180 USD (varies by region) |
| Certificate Validity Period: | 3 years |
| Recommended Training: | SAS Regression and Modeling Training |
| Exam Registration: | SAS Certification Registration |
| Sample Questions: | SASInstitute A00-240 Sample Questions |
| Exam Way: | Computer-based proctored exam (online or test center) |
| Pre Condition: | Recommended: SAS Certified Base Programmer for SAS 9 or equivalent experience with SAS programming and statistical methods. |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
For more info visit:
Predictive Modeling Using Logistic Regression Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
How much A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam cost
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam cost is $180.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Professional salary
The average salary of a A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified Expert in
- India - 8,42,327 INR
- England - 46,632 POUND
- Europe - 45,347 EURO
- United State - 70,247 USD
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Diagnostics and Validation | - Goodness-of-fit measures - Influence and leverage |
| Logistic Regression | - Binary logistic regression - Model fit and diagnostics |
| ANOVA and General Linear Models | - One-way and multi-way ANOVA - GLM procedures in SAS |
| Multiple Regression | - Model building and selection - Interaction effects - Multicollinearity diagnostics |
| Simple Linear Regression | - Estimation and inference - Residual analysis - Model assumptions and interpretation |
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