 Okay, so this slope here, 0.0246, is roughly twice the standard error in the slope. And in fact, the ratio of the slope to its standard error is something that we call t. And in this case, it's roughly 2. It's a little larger than 2. That means that the slope itself is two standard errors away from zero, in this case on the positive side. Typically, when t is 2 or larger, that signifies a result that's significant at the .05 level for a two-tailed test, which is what we see here. So in essence, when we see a t value of 2 or larger, typically that signifies that the results of the regression are statistically significant, at least for a large sample where n is larger than 100 or so, and as long as we don't have the problem of autocorrelation of residuals, which we've talked a bit about before. And so our next topic is going to be to talk a little bit about this issue of autocorrelation in this example.