diff options
Diffstat (limited to 'Lib')
| -rw-r--r-- | Lib/statistics.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/Lib/statistics.py b/Lib/statistics.py index 26009b0..1314095 100644 --- a/Lib/statistics.py +++ b/Lib/statistics.py @@ -924,10 +924,10 @@ def correlation(x, y, /): xbar = fsum(x) / n ybar = fsum(y) / n sxy = fsum((xi - xbar) * (yi - ybar) for xi, yi in zip(x, y)) - s2x = fsum((xi - xbar) ** 2.0 for xi in x) - s2y = fsum((yi - ybar) ** 2.0 for yi in y) + sxx = fsum((xi - xbar) ** 2.0 for xi in x) + syy = fsum((yi - ybar) ** 2.0 for yi in y) try: - return sxy / sqrt(s2x * s2y) + return sxy / sqrt(sxx * syy) except ZeroDivisionError: raise StatisticsError('at least one of the inputs is constant') @@ -968,9 +968,9 @@ def linear_regression(x, y, /): xbar = fsum(x) / n ybar = fsum(y) / n sxy = fsum((xi - xbar) * (yi - ybar) for xi, yi in zip(x, y)) - s2x = fsum((xi - xbar) ** 2.0 for xi in x) + sxx = fsum((xi - xbar) ** 2.0 for xi in x) try: - slope = sxy / s2x # equivalent to: covariance(x, y) / variance(x) + slope = sxy / sxx # equivalent to: covariance(x, y) / variance(x) except ZeroDivisionError: raise StatisticsError('x is constant') intercept = ybar - slope * xbar |