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Diffstat (limited to 'Doc/library/statistics.rst')
| -rw-r--r-- | Doc/library/statistics.rst | 26 |
1 files changed, 9 insertions, 17 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index 117d2b6..a65c984 100644 --- a/Doc/library/statistics.rst +++ b/Doc/library/statistics.rst @@ -631,25 +631,25 @@ However, for reading convenience, most of the examples show sorted sequences. Return the intercept and slope of `simple linear regression <https://en.wikipedia.org/wiki/Simple_linear_regression>`_ parameters estimated using ordinary least squares. Simple linear - regression describes relationship between *regressor* and - *dependent variable* in terms of linear function: + regression describes the relationship between *regressor* and + *dependent variable* in terms of this linear function: *dependent_variable = intercept + slope \* regressor + noise* where ``intercept`` and ``slope`` are the regression parameters that are - estimated, and noise term is an unobserved random variable, for the + estimated, and noise represents the variability of the data that was not explained by the linear regression - (it is equal to the difference between prediction and the actual values + (it is equal to the difference between predicted and actual values of dependent variable). Both inputs must be of the same length (no less than two), and regressor - needs not to be constant, otherwise :exc:`StatisticsError` is raised. + needs not to be constant; otherwise :exc:`StatisticsError` is raised. - For example, if we took the data on the data on `release dates of the Monty + For example, we can use the `release dates of the Monty Python films <https://en.wikipedia.org/wiki/Monty_Python#Films>`_, and used - it to predict the cumulative number of Monty Python films produced, we could - predict what would be the number of films they could have made till year - 2019, assuming that they kept the pace. + it to predict the cumulative number of Monty Python films + that would have been produced by 2019 + assuming that they kept the pace. .. doctest:: @@ -659,14 +659,6 @@ However, for reading convenience, most of the examples show sorted sequences. >>> round(intercept + slope * 2019) 16 - We could also use it to "predict" how many Monty Python films existed when - Brian Cohen was born. - - .. doctest:: - - >>> round(intercept + slope * 1) - -610 - .. versionadded:: 3.10 |