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Add example for linear_regression() with proportional=True. (gh-110133)
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@ -14,6 +14,7 @@
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.. testsetup:: *
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from statistics import *
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import math
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__name__ = '<doctest>'
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--------------
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@ -741,6 +742,24 @@ However, for reading convenience, most of the examples show sorted sequences.
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*y = slope \* x + noise*
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Continuing the example from :func:`correlation`, we look to see
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how well a model based on major planets can predict the orbital
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distances for dwarf planets:
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.. doctest::
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>>> model = linear_regression(period_squared, dist_cubed, proportional=True)
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>>> slope = model.slope
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>>> # Dwarf planets: Pluto, Eris, Makemake, Haumea, Ceres
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>>> orbital_periods = [90_560, 204_199, 111_845, 103_410, 1_680] # days
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>>> predicted_dist = [math.cbrt(slope * (p * p)) for p in orbital_periods]
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>>> list(map(round, predicted_dist))
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[5912, 10166, 6806, 6459, 414]
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>>> [5_906, 10_152, 6_796, 6_450, 414] # actual distance in million km
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[5906, 10152, 6796, 6450, 414]
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.. versionadded:: 3.10
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.. versionchanged:: 3.11
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