On Wed, Jun 5, 2019 at 8:18 AM Brown J.B. via scikit-learn <scikit-learn@python.org> wrote: > > 2019年6月5日(水) 10:43 Brown J.B. <jbbr...@kuhp.kyoto-u.ac.jp>: >> >> Contrast this to Pearson Product Moment Correlation (R), where the fit of >> the line has no requirement to go through the origin of the fit. > > > Not sure what I was thinking when I wrote that. > Pardon the mistake; I'm fully aware that Pearson R is merely a coefficient > merely indicating direction of trend.
Ah - now I'm more confused. r is surely a coefficient, but I personally find it most useful to think of r as the least-squares regression slope once the x and y values have been transformed to standard scores. For that case, the least-squares intercept must be 0. Cheers, Matthew _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
