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How to run R-style linear regressions in Python the easy way
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...
We investigate properties of a diagnostic-envelope method for evaluating normal probability plots of regression residuals that was proposed by Atkinson (1981), implemented by BMDP (Hardwick 1987), and ...
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