That's a bit of an unusual way of characterizing it. Isn't a low correlation just implying that there are other factors that have a stronger influence? Which makes sense, I mean personality and lifestyle surely have to have large impacts
A low correlation tells you that the relationship between the two specific variables isn’t meaningful. It doesn’t tell you anything about other variables, maybe you’re thinking of R^2? Regardless both metrics assume you’re dealing with a linear model which is a big assumption in its own right.
