In my last post I showed how to do simple linear regression by hand. However, naturally, in most cases with statistics, you never have just one predictor variable, but rather multiple. As such, in this post, I will show how to do multiple linear regression by hand. Multiple linear regression is an extension of simple linear regression that allows for more than one predictor variable.

For the past few years I’ve been a statistics tutor in the psychology department at Maynooth University. We cover everything from the basics of descriptive statistics and graphs to the nitty-gritty of t-tests, correlations, and ANOVAs. However, there’s one topic where I always slow down and dive deep: regression analysis. Why?

This document analyzes a dataset of species from the 15 most visited National Parks in the USA provided by #TidyTuesday.

This document analyzes a dataset of chess games from Lichess provided by #TidyTuesday. It contains over 20,000 games, including information such as player ratings, move sequences, and other metrics.

Recently, I attended the “Introduction to Agent-Based Modelling for Public Health Research” workshop, organised by the National Centre for Research Methods and held at the University of Glasgow. The workshop covered the principles, concepts, and steps involved in building and analysing agent-based models using the software NetLogo.