What term describes when one co-variable increases so does the other?

The term that describes the situation where one co-variable increases and, consequently, the other co-variable also increases is positive correlation. In statistics, a positive correlation indicates a direct relationship between two variables, suggesting that as one variable rises, the other tends to rise as well, and vice versa. This relationship can be represented visually with a scatterplot that shows points clustering in a direction that slopes upwards from left to right.

In contrast, negative correlation refers to a situation where one variable increases while the other decreases, indicating an inverse relationship between the two. Inverse correlation, often referred to in a similar context as negative correlation, also signifies that as one variable rises, the other falls. No correlation indicates a lack of relationship or pattern between the two variables. In the case of positive correlation, we observe a clear and consistent relationship, which is why this term is the most suitable for the scenario described.