I don’t particularly like your “ellipse” generalization, either, because it’s just wrong. … Bringing ellipses into the issue is just an intuitive, illustrative fiction, which I really don’t appreciate very much because it’s not particularly informative and it isn’t scientifically sound at all.
I think you’re mistaken about that. An ellipse is the shape of a multivariate normal distribution, for example. In fact, there is the entire family of elliptical distributions which are, to quote Wikipedia, “a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively, in the simplified two and three dimensional case, the joint distribution forms an ellipse and an ellipsoid, respectively, in iso-density plots.”
a perfect correlation would be linear
That’s a meaningless phrase, correlation is linear by definition. Moreover, it’s a particular measure of dependency which can be misleading.
I think you’re mistaken about that. An ellipse is the shape of a multivariate normal distribution, for example. In fact, there is the entire family of elliptical distributions which are, to quote Wikipedia, “a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively, in the simplified two and three dimensional case, the joint distribution forms an ellipse and an ellipsoid, respectively, in iso-density plots.”
That’s a meaningless phrase, correlation is linear by definition. Moreover, it’s a particular measure of dependency which can be misleading.