How do you interpret a negative correlation?
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A negative correlation means that as one variable increases, the other variable tends to decrease. For example, if there is a negative correlation between hours spent studying and the number of errors made on a test, it suggests that the more hours a student studies, the fewer errors they make. In simple terms, negative correlation indicates an inverse relationship between the two variables.
A negative correlation means that as one variable increases, the other variable decreases.
A negative correlation indicates that as one variable increases, the other variable tends to decrease, and vice versa. This relationship suggests an inverse association between the two variables, meaning that higher values of one variable are associated with lower values of the other.