👉 The term "cointersecting" is often used in econometrics to describe a situation where two or more variables are related but not necessarily linearly correlated. This means that one variable can have a large impact on another, and it may be difficult for the relationship between them to become statistically significant without a large enough sample size. In other words, if one variable is highly dependent on the others, it's challenging to establish causality or correlation between them.
