A regression problem predicts continuous numerical outcomes by analyzing relationships between variables. Used in finance, healthcare, and real estate, it forecasts trends like sales figures or housing prices. Data scientists and analysts benefit, enabling informed decisions through statistical modeling and machine learning algorithms that identify patterns and quantify cause-and-effect dynamics.
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