So that worked out to a pretty neat number. So let's actually find our m's and our b's. So our slope, our optimal slope for our regression line, the mean of the x's, it's going to be 7 thirds, 7 over 3, times the mean of the y's, the mean of the y's is 2, minus the mean of the xy's, well that's 16 over 3, 16 over 3, and then all of that, all of that over the mean of the x's, the mean of the x's is 7 thirds squared. So 7 over 3 squared, minus the mean of the x squared, so it's going to be minus this 7 right over here. And now we just have to do a little bit of mathematics here. I'm tempted to get out my calculator, but I'll resist the temptation. It's nice to keep things as fractions.