R squared you might already be familiar with. It says how much of the variance in the y variable is explainable by the x variable. If it was one or 100%, that means all of it could be explained, and it's a very good fit. If it was zero, that means none of it can be explained. It would be a very bad fit. Capital S, this is the standard deviation of the residuals, and it's another measure of how much these data points vary from this regression line. Now this column right over here is going to prove to be useful for answering the question at hand.