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Regression for Predictive Analytics

Course Length - 1 Day

Regression analysis is a statistical tool used to explore and model the relationship among variables. This course provides an overview of regression analysis techniques and their application in SAS/STAT Software.
After this course, attendees will be able to develop, apply, interpret and validate predictive linear and logistic regression models.


Regression for Predictive Analytics Public Course Dates

Due to Covid-19 all Amadeus training will be delivered via live web classes. Our live Web classes are as interactive as our classroom training, there are also some benefits - no travelling time and costs!


This course is designed for statisticians, analysts and health practitioners as an introduction into the application of regression analysis techniques using the SAS System.


Attendees will need to have a basic knowledge of statistical tests and concepts, such as p-values and confidence intervals. Attendees must be familiar with the SAS programming language to at least Fundamental level. We recommend that attendees have three to six months of regular SAS programming experience to gain the most benefit from this course.


R1 lntroduction

  • What is Regression Analysis
  • Types of Regression Analysis
  • Data Preparation 

R2 Exploratory Data Analysis

  • Introduction
  • Describing Data
  • Normality
  • Correlation Analysis
  • Chi Square Tests

R3 Linear Regression

  • Introduction to Multiple Regression
  • Model Building
  • Goodness of Fit
  • Verification of Assumptions
  • Interpretation
  • Predicting Outcomes

R4 Logistic Regression

  • Introduction to Logistic Regression
  • Model Building
  • Goodness of Fit
  • Verification of Assumptions
  • Model Performance
  • Interpretation
  • Predicting Outcomes

R5 Using Enterprise Guide (Reference)

  • Introduction to Enterprise Guide
  • Introduction to the Environment
  • Generalised Regression Task