Easy Statistics: Linear and Non-Linear Regression
An easy introduction to Ordinary Least Squares, Logit and Probit regression and tips for regression modelling.
What you’ll learn
- The theory behind linear and non-linear regression analysis.
- To be at ease with regression terminology.
- The assumptions and requirements of Ordinary Least Squares (OLS) regression.
- To comfortably interpret and analyse regression output from Ordinary Least Squares.
- To learn and understand how Logit and Probit models work.
- To learn tips and tricks around Non-Linear Regression analysis.
- Practical examples in Stata
Requirements
- None
Description
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Three courses combined. Linear and Non-Linear Regression and Regression Modelling.
Learning and applying new statistical techniques can often be a daunting experience.
“Easy Statistics” is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology.
This course will focus on the concept of linear regression, non-linear regression and regression modelling. Specifically Ordinary Least Squares, Logit and Probit Regression.
The first two parts will explain what regression is and how linear and non-liner regression works. It will examine how Ordinary Least Squares (OLS) works and how Logit and Probit models work. It will do this without any complicated equations or mathematics. The focus of this course is on application and interpretation of regression. The learning on this course is underpinned by animated graphics that demonstrate particular statistical concepts.
Who this course is for:
- Academic students of any level.
- Practitioners who require quantitative knowledge.
- Business users and managers who engage with quantitative reports.
- Government workers who are involved in policy analysis.
- Anyone who has an interest in, or needs to engage, with statistical regression.
