Respuesta :
Negative:
Positive correlation: If the increase of one variable causes an increase in the other.
Negative correlation: if one variable increases and it causes a decrease in the other.
Your case implies a very high negative correlation.
Positive correlation: If the increase of one variable causes an increase in the other.
Negative correlation: if one variable increases and it causes a decrease in the other.
Your case implies a very high negative correlation.
Answer:
strong negative linear
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.