On Wed, Mar 4, 2009 at 10:54 AM, per freem <perfr...@gmail.com> wrote:
> hi all,
>
> i managed to do linear regression on two vectors x, and y using
> linalg.lstsq. what i can't figure out is how to compute the R-squared value
> - the correlation of the two vectors - in matplotlib. can someone please
> point me to the right function? thank you.
You should use numpy rather than matplotlib. R-squared is the square of the
correlation coefficient, so
In [162]: c = np.corrcoef(x, y)[0,1]
In [163]: r2 = c**2
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