def fit_lm(y):
x = np.array(range(len(y)))
gradient, intercept, r_value, p_value, std_err = stats.linregress(x,y)
fit_line = [(x_val * gradient) + intercept for x_val in x]
return gradient, intercept, r_value, p_value, std_err, fit_line
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