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Question
suppose there is a strong positive correlation between a and b. which of the following must be true?
a. an increase in a causes b to decrease.
b. when a increases, b tends to decrease.
c. an increase in a causes b to increase.
d. when a increases, b tends to increase.
A strong positive correlation means that as one variable (a) increases, the other variable (b) has a tendency to increase. Correlation does not imply causation. So we cannot say that an increase in a causes b to increase, but we can say that when a increases, b tends to increase.
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D. When a increases, b tends to increase.