What best describes the strength of the correlation between variables is that it is a strong positive correlation, and it is likely causal.
Corresponds to a statistical relationship, which will be positive when both variables, such as x and y move in the same direction, that is, when one variable increases, the other also increases, being a causal relationship.
Therefore, the relationship can also be negative, meaning that when the value of one variable increases, the values of the other will decrease.
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