What happens then, if we're trying to predict some value that is based on more than one other attribute? Let's say that the height of people not only depends on their weight, but also on their genetics or some other things that might factor into it. Well, that's where multivariate analysis comes in. You can actually build regression models that take more than one factor into account at once. It's actually pretty easy to do with Python.
Let's talk about multivariate regression, which is a little bit more complicated. The idea of multivariate regression is this: what if there's more than one factor that influences the thing you're trying to predict?
In our previous examples, we looked at linear regression. We talked about predicting people's heights based on their weight, for example. We assumed...
