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. The constant coefficient tells us essentially what is the y-intercept here, so 2.544. And then the coefficient on the caffeine, this is one way of thinking about, well, for every incremental increase in caffeine, how much does the time studying increase? Or you might recognize this as the slope of the least squares regression line.