Linear regression is one of the first tools we learn in statistics and data science. It’s elegant, intuitive, and easy to explain. Draw a line that best fits the data. Minimize the errors. Move on.
And then reality shows up.
You plot your data and notice a handful of extreme points. Maybe they’re measurement errors. Maybe they’re real but rare. Either way…
