To obtain quantitative measures related to the fit of regression models, you should use statsmodels. That is to say that seaborn is not itself a package for statistical analysis. In the spirit of Tukey, the regression plots in seaborn are primarily intended to add a visual guide that helps to emphasize patterns in a dataset during exploratory data analyses.
The functions discussed in this chapter will do so through the common framework of linear regression. It can be very helpful, though, to use statistical models to estimate a simple relationship between two noisy sets of observations. We previously discussed functions that can accomplish this by showing the joint distribution of two variables. Many datasets contain multiple quantitative variables, and the goal of an analysis is often to relate those variables to each other.
