Using what we learned in the previous two sessions, we will work through all essential steps involved in data analysis, with a focus on linear regression. This includes the formulation of a hypothesis, data preparation and visualisation, statistical testing, and finally, results interpretation. We will complete two full practical exercises in R using built-in datasets. At the end of this session, you will be split into different groups in order to carry out one final analysis, which will be presented the week after.
Session 3.1: Introduction to fundamentals III