When carrying out linear regression there are a number of assumptions that are made. Often these assumptions are not verified, whereas in reality they are very important to check if they are met (and do something about it, if they aren’t!).

Accounting for potential influential factors through randomisation and blocking is an essential part of good experimental design.

Heatmaps are a data visualisation technique used to graphically represent multivariate data in an intuitive and effective way