And we have 3 data points again. So this is 1 plus 4, which is 5, plus 16. 5 plus 16 is equal to 21 over 3, which is equal to 7. 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.