A general overview of the purpose of statistical models, why knowing how to use a range of models is useful, and how R makes it easy to adapt to new modelling techniques.
Watch more of our videos on an Introduction to R here:
https://youtube.com/playlist?list=PLK5PktXR1tmM_ISpxwoiXD2SioG3MWNqg
More information can be found in the accompanying document available at:
https://stats4sd.org/resources/540
For our free resources, visit our website:
https://stats4sd.org/resources
Useful links referenced in the video:
Types of Common Statistical Tests: https://lindeloev.github.io/tests-as-linear/
R Companion to Applied Regression: https://www.john-fox.ca/Companion/downloads.html
UCLA Statistical Models, Code, and Examples: https://stats.idre.ucla.edu/other/dae/
Statistics for Sustainable Development is a not-for-profit, social enterprise that provides:
• Statistical and data management expertise
• Support on research designs and methodology
• Technical guidance related to collection and processing of data and information.
As a team of technicians and statisticians, we believe that our best work is done when supporting organisations and communities across the world that share our vision of a more sustainable future for all.
The videos on our channel aim to support students, researchers, and academics, and are accompanied by the free resources on our website.
This video was created and presented by Sam Dumble, a statistician at Stats4SD. Video production is by Emily Nevitt, a graphic and instructional designer at Stats4SD.
Stay updated on what the team is up to over on our LinkedIn:
https://www.linkedin.com/company/statistics-for-sustainable-development/
Content:
00:00 - Intro
00:50 - What is a Statistical Model?
02:20 - What is the Purpose of a Statistical Model?
04:21 - Example of a Statistical Modelling Problem
08:14 - Overfitting a Data Set
10:15 - Fitting Linear Models in R
15:51 - Other Kinds of Model
21:13 - Summary
22:35 - Further Resources