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Question
suppose the correlation coefficient between a babys 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. having more coffee shops around causes the baby to gain weight. c. as the baby gains weight, the number of coffee shops tends to increase. d. the babys weight gain causes people to open more coffee shops.
The correlation coefficient of 0.87 is positive. A positive correlation means that as one variable increases, the other variable also tends to increase. However, correlation does not imply causation. So, just because there is a positive correlation between a baby's weight and the number of coffee - shops, it doesn't mean one causes the other. It only means there is a tendency for them to change in the same direction.
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C. As the baby gains weight, the number of coffee shops tends to increase.