Respuesta :

REscobarM
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.
jennerfranco

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.

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