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Can a correlation measure two variables? - Answers

Yes, a correlation measures the strength and direction of a relationship between two variables. It quantifies how changes in one variable are associated with changes in another, with values ranging from -1 to 1. A positive correlation indicates that as one variable increases, the other tends to increase as well, while a negative correlation indicates the opposite. However, correlation does not imply causation; it merely reflects the degree of association between the two variables.



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Can a correlation measure two variables? - Answers

https://math.answers.com/math-and-arithmetic/Can_a_correlation_measure_two_variables

Yes, a correlation measures the strength and direction of a relationship between two variables. It quantifies how changes in one variable are associated with changes in another, with values ranging from -1 to 1. A positive correlation indicates that as one variable increases, the other tends to increase as well, while a negative correlation indicates the opposite. However, correlation does not imply causation; it merely reflects the degree of association between the two variables.



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https://math.answers.com/math-and-arithmetic/Can_a_correlation_measure_two_variables

Can a correlation measure two variables? - Answers

Yes, a correlation measures the strength and direction of a relationship between two variables. It quantifies how changes in one variable are associated with changes in another, with values ranging from -1 to 1. A positive correlation indicates that as one variable increases, the other tends to increase as well, while a negative correlation indicates the opposite. However, correlation does not imply causation; it merely reflects the degree of association between the two variables.

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      Yes, a correlation measures the strength and direction of a relationship between two variables. It quantifies how changes in one variable are associated with changes in another, with values ranging from -1 to 1. A positive correlation indicates that as one variable increases, the other tends to increase as well, while a negative correlation indicates the opposite. However, correlation does not imply causation; it merely reflects the degree of association between the two variables.

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