>>41076822>>41076973For fuck sake, 0.01 is as close to zero as it can be. And even if you pick all streams under 1.4M there is almost zero correlation.
>An R2 of 1.0 indicates that the data perfectly fit the linear model. >Any R2 value less than 1.0 indicates that at least some variability in the data cannot be accounted for by the model (e.g., an R2 of 0.5 indicates that 50% of the variability in the outcome data cannot be explained by the model).In this case and the other example, more than 95% of the variability comes from something else.
I don't think *that* is what anons are calling "subs and CCV are correlated" but if it is, it's a dumb statement
