Understanding the concept of linear regression, model fitting, interpretation of coefficients, and evaluation of the model's performance.
Linear Regression: Definition: Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. Assumptions: The relationship between the variables is linear. The residuals (errors) are normally distributed. The variance of the residuals is constant (homoscedasticity). T...…
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