Least-Squares Regression Lines

Definition

Least-squares regression lines are used to model the relationship between two variables by minimizing the sum of the squared differences between observed data points and predicted values. They provide an equation that represents the best-fit line through the data.

Related terms

Correlation Coefficient: A statistical measure that quantifies the strength and direction of the linear relationship between two variables.

Residuals: The differences between observed data points and predicted values on a regression line.

Extrapolation: Estimating or predicting values outside the range of observed data based on a regression model.