Regression for Predictive Analytics

Standard Course
£400 +VAT
per delegate
Course duration: 1 Day

After this course, attendees will be able to develop, apply, interpret and validate predictive linear and logistic regression models.

Who is it for?

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

Prerequisites

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.

What you will learn

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

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

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

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

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

Regression for Predictive Analytics Course Dates

Our courses are live instructor-led and delivered virtually.

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