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Predictive Modeling Using Logistic Regression Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
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Preparation Guide for A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
Introduction
SAS (previously “Statistical Analysis System”) may be a package suite designed by SAS Institute for advanced analytics, variable analyses, business intelligence, knowledge management, and prognosticative analytics.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam is administered by SAS and Pearson VUE. has created a track for IT professionals to certify as business analyst on SAS. This certification program provides SAS professionals a way to demonstrate their skills. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets SAS's proficiency standards.
SAS® Certified Statistical Business Analyst for SAS®9 this credential is for professionals who use SAS/STAT® software to conduct and interpret complex statistical data analysis.
In this guide, we will cover the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam, A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified professional's salary and all aspects of the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification.
The SAS international Certification Program currently issues versioned accreditation that don't lapse.The version is indicated in the credential name.
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
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.
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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Measure and Evaluate Model Performance | 25% | - Create and interpret ROC, lift, and gains charts - Apply honest assessment principles - Determine optimal decision cut-off values - Validate models with training/validation data - Use confusion matrices and classification metrics |
| Prepare Inputs for Predictive Modeling | 20% | - Identify data preparation challenges - Screen variables with CORR procedure and empirical logit plots - Transform categorical variables - Manipulate data using DATA step |
| Analysis of Variance (ANOVA) | 10% | - Perform post-hoc tests - Analyze factor interactions - Use PROC GLM for ANOVA - Assess ANOVA assumptions |
| Logistic Regression | 25% | - Interpret odds ratios and model coefficients - Build models using PROC LOGISTIC - Score new datasets with LOGISTIC and PLM - Select and optimize input variables |
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