Data Analytics, Machine Learning, Business Analytics, Regression Analysis, Knowledgebase Analytics.
Residuals, often underappreciated, carry immense importance in the validation of linear regression models. Residuals (also known as ‘errors’) represent the difference between observed values and values predicted by the regression model. Think of them as the unexplained variance. To maintain the