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. How do we make sense of this in order to come up with an equation for our linear regression? So let's just get straight on our variables. Let's just say that we say that Y is the thing that we're trying to predict. So this is the hours spent studying, hours studying, and then let's say X is what we think explains the hours studying or is one of the things that explains the hours studying, and this is the amount of caffeine ingested. So this is caffeine consumed in milligrams. And so our regression line would have the form Y hat.