And so we could try to fit something that looks something like that. But it's still not as good as that one. You could see the points that we're trying to fit, there's several points that are still pretty far away from our model. So the model is not fitting it that well. So I would say scatterplot B is a better fit. A linear model works better for scatterplot B than it works for scatterplot D. So I would give the higher r to scatterplot B, and the lower r, r equals 0.65 to scatterplot D. r is equal to 0.65. And once again, that's because with a linear model, it looks like there's a trend, but there's several data points that really, more data points are way off the line in scatterplot D than in the case of scatterplot B.