In other videos, we've done linear regressions by hand, but we mentioned that most regressions are actually done using some type of computer or calculator. And so what we're going to do in this video is look at an example of the output that we might see from a computer and to not be intimidated by it and to see how it gives us the equation for the regression line and some of the other data it gives us. So here it tells us Cheryl Dixon is interested to see if students who consume more caffeine tend to study more as well. She randomly selects 20 students at her school and records their caffeine intake in milligrams and the number of hours spent studying. A scatterplot of the data showed a linear relationship. This is a computer output from a least squares regression analysis on the data. So we have these things called the predictors, coefficient, and then we have these other things, standard error of coefficient, T and P, and then all of these things down here.