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bpo-44151: Various grammar, word order, and markup fixes (GH-26344)

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Raymond Hettinger
2021-05-24 23:04:04 -07:00
committed by GitHub
parent 59acfd4a09
commit 2f2e703244
2 changed files with 18 additions and 18 deletions
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16
Lib/statistics.py
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@@ -936,26 +936,26 @@ LinearRegression = namedtuple('LinearRegression', ('slope', 'intercept'))
def linear_regression(x, y, /):
"""Intercept and slope for simple linear regression
"""Slope and intercept for simple linear regression.
Return the intercept and slope of simple linear regression
Return the slope and intercept of simple linear regression
parameters estimated using ordinary least squares. Simple linear
regression describes relationship between *x* and
*y* in terms of linear function:
regression describes relationship between an independent variable
*x* and a dependent variable *y* in terms of linear function:
y = intercept + slope * x + noise
y = slope * x + intercept + noise
where *intercept* and *slope* are the regression parameters that are
where *slope* and *intercept* are the regression parameters that are
estimated, and noise represents the variability of the data that was
not explained by the linear regression (it is equal to the
difference between predicted and actual values of dependent
difference between predicted and actual values of the dependent
variable).
The parameters are returned as a named tuple.
>>> x = [1, 2, 3, 4, 5]
>>> noise = NormalDist().samples(5, seed=42)
>>> y = [2 + 3 * x[i] + noise[i] for i in range(5)]
>>> y = [3 * x[i] + 2 + noise[i] for i in range(5)]
>>> linear_regression(x, y) #doctest: +ELLIPSIS
LinearRegression(slope=3.09078914170..., intercept=1.75684970486...)