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Suppose there is a strong positive correlation between [tex]\(v\)[/tex] and [tex]\(w\)[/tex]. Which of the following must be true?

A. When [tex]\(v\)[/tex] increases, [tex]\(w\)[/tex] tends to decrease.
B. An increase in [tex]\(v\)[/tex] causes [tex]\(w\)[/tex] to increase.
C. When [tex]\(v\)[/tex] increases, [tex]\(w\)[/tex] tends to increase.
D. An increase in [tex]\(v\)[/tex] causes [tex]\(w\)[/tex] to decrease.



Answer :

GinnyAnswer

Final answer:

In a strong positive correlation between variables, an increase in v leads to an increase in w.


Explanation:

When there is a strong positive correlation between v and w, an increase in v tends to lead to an increase in w. Positive correlation signifies that as one variable increases, the other variable also tends to increase. This aligns with the principle of causal correlations where an increase in one variable leads to an increase in the other.


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