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question 3 of 25
suppose there is a strong positive correlation between m and n. which of the following must be true?
a. an increase in m causes n to increase.
b. when m increases, n tends to decrease.
c. when m increases, n tends to increase.
d. an increase in m causes n to decrease.
A strong positive correlation means that as one variable increases, the other variable tends to increase. Correlation does not equal causation, so causal statements are not valid here. Option B describes a negative trend, which contradicts positive correlation. Option D is also incorrect as it describes a negative causal relationship.
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C. When m increases, n tends to increase.