What are the assumptions of linear regression?
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- Linearity: The relationship between the dependent and independent variables is linear.
- Independence: Observations are independent of each other.
- Homoscedasticity: The variance of residuals is constant across all levels of the independent variable.
- Normality: Residuals are normally distributed.