Answer:
strong negative linear correlation
Explanation:
Correlation coefficient is used in statistics to describe a relationship between two variables. A negative correlation describes the extent to which two variables move in opposite directions i.e. an increase in a variable is associated with a decrease in the other variable.
Correlation coefficient is between -1 and 1.
-1 shows a perfect, linear negative correlation, and 1 shows a perfect, linear positive correlation.
In this example, -90 shows a strong negative correlation.