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Linear regression is a supervised learning technique in machine learning that identifies the relationship between continuous independent and dependent variables. It is commonly used to make predictions based on the linear relationship between these variables. This method is applicable whenever the goal is to analyze the correlation and predict outcomes from numerical data.






















