So another point that will lie on this optimal line is going to be the point, the x value is going to be this. So it's going to be the coordinate, the mean of the x squareds divided by the mean of the x's. And then the y value is going to be the mean of the xy's divided by the mean of the x's. And I'll let you think about that a little bit more. But already, this is actually the two points that lie on the line. So both of these on the line. Both of these on the best fitting line, based on how we're measuring a good fit, which is the square distance.