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

To find the Pearson coefficient, also referred to as the Pearson correlation coefficient or the Pearson product-moment correlation coefficient, the two variables are placed on a scatter plot.

The coefficient of correlation is 0.41-ish. This is not particularly strong and corresponds to what we see in the scatterplot. However, using the confidence intervals on this estimate, we can be ...