Data Science 面接の質問と回答

Question: What is the difference between correlation and causation?

Answer: Correlation measures the statistical association between two variables, while causation implies a cause-and-effect relationship. Correlation does not imply causation, and establishing causation requires additional evidence.

Example:

There may be a correlation between ice cream sales and drownings, but ice cream consumption does not cause drownings.