How do I calculate r-squared using Python and Numpy?

Question

I\'m using Python and Numpy to calculate a best fit polynomial of arbitrary degree. I pass a list of x values, y values, and the degree of the polynomial I want to fit (lin

Answer 1

I have been using this successfully, where x and y are array-like.

def rsquared(x, y):
    """ Return R^2 where x and y are array-like."""

    slope, intercept, r_value, p_value, std_err = scipy.stats.linregress(x, y)
    return r_value**2