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authorMiss Islington (bot) <31488909+miss-islington@users.noreply.github.com>2021-06-05 02:38:30 (GMT)
committerGitHub <noreply@github.com>2021-06-05 02:38:30 (GMT)
commit4642caf232a3f01468e76f19cd0c88175e10ee28 (patch)
treefc236bec7e36d675088fb18fe79f2b7c0353e28d
parent5442cfa67b6ddf41daaf93b322942da3d20d2402 (diff)
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Update nonstandard variable names (GH-26540) (GH-26546)
-rw-r--r--Lib/statistics.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/Lib/statistics.py b/Lib/statistics.py
index ceb8af8..268cc71 100644
--- a/Lib/statistics.py
+++ b/Lib/statistics.py
@@ -913,10 +913,10 @@ 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')
@@ -957,9 +957,9 @@ 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