Suppose the correlation coefficient between a baby’s weight and the number of coffee shops in Plumville is 0.87. Which statement must be true?

A. As the baby gains weight, the number of coffee shops tends to decrease.
B. As the baby gains weight, the number of coffee shops tends to increase.
C. The baby’s weight gain causes people to open more coffee shops.
D. Having more coffee shops around causes the baby to gain weight.

Question

Suppose the correlation coefficient between a baby’s weight and the number of coffee shops in Plumville is 0.87. Which statement must be true?

A. As the baby gains weight, the number of coffee shops tends to decrease.
 B. As the baby gains weight, the number of coffee shops tends to increase.
 C. The baby’s weight gain causes people to open more coffee shops.
 D. Having more coffee shops around causes the baby to gain weight.

Vocaloid · Answer

A positive correlation between the variables means that as one increases the other increases too

Also, we CANNOT determine causality from correlation in this instance

So which answer matches both these criteria?

Vocaloid · Answer

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