Ejemplo n.º 1
0
def r_squared(x, y):
    """ Return the coeffecient of determination (the squared correlation) of
    the x, y pairs """
    return (covariance(x,y))**2 / float(variance(x)*variance(y))
Ejemplo n.º 2
0
def least_squares_fit(x, y):
    """ given training values for x,y computes the least squares values for
        beta_0 and beta_1"""
    beta_1 = covariance(x,y)/variance(x)
    beta_0 = mean(y) - beta_1 * mean(x)
    return beta_0, beta_1