Andreas Tiffeau-Mayer andim
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| def python_lstsqr(x, y): | |
| """ Computes the least-squares solution to a linear matrix equation. """ | |
| len_x = len(x) | |
| x_avg = sum(x)/len_x | |
| y_avg = sum(y)/len(y) | |
| var_x = 0 | |
| cov_xy = 0 | |
| var_x = np.sum((x - x_avg)**2) | |
| cov_xy = np.sum((x - x_avg)*(y - y_avg)) | |
| slope = cov_xy / var_x |