Explanatory vs Response variables

Start from the basics: Explanatory vs response variable.

So, let's say you are 10 years old and you want to figure out how much candy you will get on Halloween based on how many houses you visit. In this scenario, the number of houses you visit would be the explanatory variable and the amount of candy you get would be the response variable. The explanatory variable is the one that helps explain or predict the values of the response variable.

Another way to think about it is that the explanatory variable is the "cause" and the response variable is the "effect." So, in our example, visiting more houses is the cause and getting more candy is the effect.

We usually put the explanatory variable in the X axis and the response in the Y.