what does it means to say \" correlation does not imply causion\"? chose the cor

Question

what does it means to say " correlation does not imply causion"?

chose the correct answear below.

A. the fact that two variables are strongly correlated does not in itself imply a cause-and-effect relationship between the variables.

B. the fact that two variables are strongly correlated implies a cause-adn-effect relationship between the variables.

C. Two variables can only be strongly correlated if there existed a cause-and-effect relationship between the variables.

D. Two variables taht have a cause-and-effect relationship.

Explanation / Answer

Correlation does not imply causation is a phrase used in statistics to emphasize that a correlation between two variables does not imply that one causes the other

Many statistical tests calculate correlation between variables. A few go further, using correlation as a basis for testing a hypothesis of a true causal relationship; examples are the Granger causality test and convergent cross mapping

A. the fact that two variables are strongly correlated does not in itself imply a cause-and-effect relationship between the variables.

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