What is this other information they give us? Well, I won't give you a very satisfying answer because all of this is actually useful for inferential statistics. To think about things like, well, what is the probability that this is chance that we got something to fit this well? So this right over here is the R squared. And if you wanted to figure out the R from this, you would just take the square root here. We could say that R is going to be equal to the square root of 0.60032, depending on how much precision you have. But you might say, well, how do we know if R is a positive square root or the negative square root of that?