Details

Category: Statistical Software for Quantitative Analysis

Published: Wednesday, 12 August 2020 09:36

Written by: Matt Pye - HWD

Overview

Learning and applying new statistical techniques can often be a daunting experience. This course is designed to provide participants with a compact and easy to understand introduction to Linear and Non-Linear Regression. It will examine how Ordinary Least Squares (OLS) and how Logit and Probit models work. It will do this without complicated equations but instead focus on visualising underpinning theory. Practical examples are demonstrated. Participants will cover concepts such: 

• Bias vs efficiency
• The Gauss-Markov Assumptions
• Interpreting regression results and diagnostic
• Why we need non-linear models