Answer:
strong negative linear
Step-by-step explanation:
Given two random variables X and Y, the correlation coefficient measures the linear relationship of X and Y. When the correlation coefficient is exactly +1, we have a perfect positive linear relationship and when the correlation coefficient is exactly -1, we have a perfect negative linear relationship. The lowest value the correlation coefficient can take is -1, and the highest value the correlation coefficient can take is +1. Therefore, when the correlation coefficient is -0.90 we have a strong negative linear relationship.