Final answer:
When one variable decreases as the other increases, this is known as a negative correlation. The correlation coefficient, denoted as 'r', indicates the strength and direction of this relationship, with negative values implying an inverse link between the variables.
Step-by-step explanation:
When low values on one dimension are associated with high values on another dimension, the correlation between the 2 variables is termed negative correlation.
A correlation is an association between variables in which a change in one variable is associated with a change in the other variable. To measure correlation, we calculate a statistic known as the correlation coefficient, usually represented by the letter r, which ranges from -1 to +1. This coefficient indicates both the strength and the direction of the relationship between variables.
The sign of the correlation coefficient indicates the direction of the relationship. A positive correlation means that the variables move in the same direction; as one variable increases, so does the other. In contrast, a negative correlation means that the variables move in opposite directions; therefore, an increase in one variable is associated with a decrease in the other, and vice versa.