When testing an hypothesis with a categorical explanatory variable and a quantitative response variable, the tool normally used in statistics is Analysis of Variances, also called ANOVA.
In this post I am performing an ANOVA test using the R programming language, to a dataset of breast cancer new cases across continents.
The objective of the ANOVA test is to analyse if there is a (statistically) significant difference in breast cancer, between different continents. In other words, I am interested to see whether new episodes of breast cancer are more likely to take place in some regions rather than others.
Beyond analysing this specific breast cancer dataset, I hope with this post to create a short tutorial about ANOVA and how to do simple linear models in R.