Multicollinearity

Multicollinearity happens when different variables are related to each other. It can happen when you have too many of the same kind of variable in a data set and it can make it harder to calculate if a specific variable is important or not. For example, if there were two variables that were both measuring the height of the same person, then the computer won't be able to decide which one is more important in determining something about the person. Multicollinearity can make it harder for the computer to do certain calculations.