Answer:

Introduction:
When two variables have a relationship where high values of one tend to correspond to low values of the other, they are said to be negatively or inversely correlated. In other words, as one variable increases, the other variable tends to decrease.

Negatively Correlated:
When two variables are negatively correlated, it means that as the value of one variable increases, the value of the other variable decreases. This relationship is often represented by a negative correlation coefficient.

Inversely Correlated:
Similarly, when two variables are inversely correlated, it means that as the value of one variable increases, the value of the other variable decreases. Inverse correlation is another term used to describe this relationship.

Example:
Let's consider an example to understand this concept better. Suppose we have two variables, X and Y, representing the number of hours studied and the test scores obtained by a group of students. If there is a negative or inverse correlation between X and Y, it means that as the number of hours studied increases, the test scores tend to decrease.

Explanation:
The negative or inverse correlation between hours studied and test scores can be explained by the fact that when students spend more time studying, they may experience fatigue, burnout, or lack of focus, leading to lower test performance. On the other hand, when students study less, they may not have enough time to grasp the concepts properly, resulting in lower scores as well.

Conclusion:
In summary, when high values of one variable correspond to low values of another variable, they are said to be negatively or inversely correlated. This relationship indicates that as the value of one variable increases, the value of the other variable tends to decrease. It is important to understand the concept of negative or inverse correlation as it helps in analyzing and interpreting relationships between variables in various fields such as economics, finance, and science.