How does linear regression work, and what assumptions does it make? When would it be inappropriate to use?

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Linear regression is a supervised learning algorithm that models the relationship between input features and a continuous target variable by fitting a linear equation. The model learns coefficients that, when multiplied by feature values and summed together with a bias term,…