No correlation.
This is called an "inverse" relationship.
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
Moderation occurs when the relationship between two variable depends on a third variable. The third variable is referred to as the moderate variable or simply the moderator
decreases
That as one variable increases so does the other
This is called an "inverse" relationship.
decreases
decrease
It is unrelated
One variable always decreases as the other decreases. One variable always increases as the other increases.
An inversely proportional relationship shows that as one variable of an equation increases, the other will decrease. A directly proportional relationship shows that as one variable increases, the other increases as well.
The other can increase, decrease or stay the same. It depends on the relationship between the two variables.
I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.
as one variable increases the other variable decreases
In an inverse relationship, one variable decreases while the other increases. As an equation, a basic inverse relationship looks like x = 1/y.
If the graph shows a direct relationship, then the line will go up. If it shows an inverse relationship, the line will go down. A direct relationship means that as one variable increases, so does the other. On a graph, this means that as we move out along one axis, we also move out along the other. An inverse relationship means that as one variable increases, the other one decreases. So, for example, as we move to the right (X increasing), we have to move down (Y decreasing).
One variable can affect another through a causal relationship, meaning changes in one variable directly cause changes in the other. This relationship can be positive (both variables increase or decrease together) or negative (one variable increases while the other decreases). The strength and direction of this effect can be quantified through statistical analysis.