Which statement is true?

A positive correlation means that as one variable increases, the other tends to increase. In a linear relationship, that corresponds to a positive slope, so “A positive correlation implies a positive slope” is true. Association strength describes how closely the data follow a pattern, not whether the pattern is positive or negative.

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