The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Nonparametric statistics are statistical methods that do not assume data follows a specific distribution model defined by a limited number of parameters, allowing for greater flexibility in analysis.

Learn to apply multiple regression techniques to predict continuous outcomes, use logistic regression for binary outcomes, and employ Cox regression for survival analysis.

Residual standard deviation is a statistical term used to describe the difference in standard deviations of observed values vs. predicted values as shown by points in a regression analysis.