in this video for the bias-variance trade-off
(https://www.youtube.com/watch?v=zUJbRO0Wavo)
this man talks about how we are choosing n points from a distribution P(x,y). What I don't understand is why is x being treated like an input variable? Isn't that the input we use to predict the y value?