Segmented regression is a way of splitting up a big problem into smaller chunks. It's kind of like making a lot of little puzzles out of one big puzzle. With segmented regression, you can divide up the puzzle into smaller parts, so that each part is easier to solve. For example, if you wanted to predict the size of a bird, you could look at different parts of the bird (like its wingspan, body length, and bill size) and try to predict the size of the bird from those parts. This way, you don't have to worry about all the different parts at once - you can tackle each part one at a time.