Python, Data, Data Science, Regression, Machine Learning.
model, it is important to ensure that the assumptions of linear regression are met. These assumptions include linearity, independence, homoscedasticity, and normality. Linearity: The relationship between the independent variables and the dependent variable should be linear. In other words, the