Introduction to residuals and least-squares regression

How to Find Residuals in Regression Analysis | Built In

In a regression model, what does the "error term" represent? ... | Filo

Error Term: Definition and Examples

R2 Score & Mean Square Error (MSE) Explained

Testing Assumptions of Linear Regression in SPSS

Insightforge | AI & Data Science on Instagram: "Linear regression is a statistical technique used to describe the relationship between a dependent variable and one or more independent variables. It works by finding the straight line that best fits the data, represented by an equation with a slope (or multiple slopes) and an intercept. To fit this line, the algorithm estimates the model parameters in a way that minimizes the gap between the actual data points and the model’s predictions. These ga