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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 ...
where Y is the response, or dependent, variable, the Xs represent the p explanatory variables, and the bs are the regression coefficients. For example, suppose that you would like to model a person's ...
The topic of variable importance in linear regression is reviewed, and a measure first justified theoretically by Pratt (1987) is examined in detail. Asymptotic variance estimates are used to ...
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