And what we can do is use this information and our estimate of the sampling distribution of the sample regression line slope, and we can come up with a t-statistic. And for this situation, where our alternative hypothesis is that our true population regression slope is greater than zero, our p-value can be viewed as the probability of getting a t-statistic greater than or equal to this. So getting a t-statistic greater than or equal to 2.999. Now, you could be tempted to say, hey, look, there's this column that gives us a p-value. Maybe they just figured out for us that this probability is 0.004. And we have to be very, very careful here, because here, they're actually giving us, I guess you could call it a two-sided p-value. If you think of a t-distribution, and they would do it for the appropriate degrees of freedom, this is saying, what's the probability of getting a result where the absolute value is 2.999 or greater?