Learning Data Science, Day 7 - Linear Regression

I'm not going to lie, I'm a bit sleepy and prone to just wanting to doze and listen to all the audiobooks of Lois McMaster Bujold's Vorkosigan saga (I'm in the middle of a relisten of Memory at the moment), but, no, I told myself I was going to do work today, so we're back onto the data science. W3Schools has labeled this section "Data Science Advanced", so, y'know, oooo, fancy. We're getting advanced here. Linear RegressionSo "regression" when you're referring to data science, isn't when you take a bunch of hallucinogens and lie in a sensory deprivation tank and get all Altered States up in here, it's when you try to find the relationship between your variables. When you do statistical modelling, you use regression to predict the outcome of things. In their example, because it's all still health data, it's working out if average pulse and duration of exercise are related to calories burned, but...borrrrrring. So BORING. I'm going back to my Letterboxd decades, watched films, and…