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Think critically about the phrase “correlation does not imply causation.” Then, respond to the questions below:
Why is it important not to assume causality from a correlation result?
Can you give an example of a spurious correlation (where two variables seem related but actually aren’t)?
In your own correlation matrix, is there any relationship that could be mistaken for cause-effect? Explain why it’s not.
📌 Tip: Consider confounding variables, directionality, or lack of experimental control.
Reply Requirement:
Write your own post.
Then respond to at least one classmate by adding a new perspective or asking a follow-up question.