Now, what would happen over here? Well, if this number is really small, this is going to be a very small fraction over here. One minus a very small fraction is going to be a pretty large, it's going to be a number close to one. So then, so then we're going to have our r squared will be close, close to one, which tells us that a lot of the variation in y is described by the variation in x, which makes sense because the line is a good fit. You take the opposite case. If the squared error of the line is huge, if this number over here is huge, if this number over here is huge, then that means there's a lot of error between the data points and the line. And so if this number is huge, then this number over here is going to be huge.