And so there'll be 20 data points. One, two, three, four, five, six, seven, eight, nine, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20. He inputs these data points into a computer in order to fit a least squares regression line. And let's say the least squares regression line looks something like this. And a least squares regression line comes from trying to minimize the square distance between the line and all of these points. And then this is giving us information on that least squares regression line. And the most valuable things here, if we really wanna help visualize or understand the line, is what we get in this column.