Uncertainty coefficient

Uncertainty coefficient is a fancy word used by some smart people to describe how much information two things share with each other. Think about it like this - imagine you have a basket with two different kinds of apples, and you want to know how likely it is that you'll pick out a specific kind of apple without looking. The uncertainty coefficient measures how much information these two kinds of apples give you about each other - if each kind of apple is very different from each other, then picking one tells you a lot about what the other one might be.

In the same way, if you're trying to understand how related two things are, like say the temperature outside and how much ice cream people buy, you can use the uncertainty coefficient to see how much these things can predict each other. If people buy more ice cream when it's hot outside, then the temperature and ice cream sales are related, and the uncertainty coefficient can tell you just how related they are.

So, to sum up: the uncertainty coefficient helps you figure out how much two things are related by measuring how much information they share with each other.