Key Assumptions for Linear Regression: Ensuring Model Validity

Key Assumptions for Linear Regression: Ensuring Model Validity

Understanding the Assumptions of Linear Regression Linear regression is a powerful statistical technique used for modeling the relationship between a dependent variable and one or more independent variables. While the model can be highly effective for making predictions, its validity and accuracy depend on certain assumptions being met. These assumptions ensure that the model fits…

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