Everyone seems to know correlation but they do not. At least I didn’t.
To understand correlation, we need to first understand covariance. As the name suggests, covariance measures the extent to which two variables covary, i.e., vary together. But the questions are: what does “vary” mean, and how do we quantify “together”?
For example, I give you these two vectors:
import matplotlib.pyplot as plt a = [2, 4, 6, 8]
b = [1, 2, 3, 8]Can you tell me …