What are the key assumptions of linear regression? What happens if these assumptions are violated, and how would you check for violations?

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Linear regression is a foundational supervised learning algorithm with several underlying assumptions. Understanding these assumptions helps you know when linear regression is appropriate and how to diagnose problems.