What is simple vs multiple linear regression?

Updated May 16, 2026

Short answer

Simple uses one feature; multiple uses many features.

Deep explanation

Multiple regression extends simple regression by adding more predictors to model complex relationships.

Real-world example

Predicting salary using experience, education, and skills.

Common mistakes

  • Assuming interpretability remains simple in high dimensions.

Follow-up questions

  • Does more features always improve performance?

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