LinReg (Linear Regression)

Definition

Linear regression is a statistical method used to model the relationship between two variables by fitting a straight line through their scatterplot. It allows us to make predictions based on this line.

Analogy

Imagine linear regression as drawing the best-fitting line through scattered points on a graph. This line represents the trend or pattern in the data, just like connecting dots with lines can help you see patterns emerge in your drawings.

Related terms

Slope: The steepness of the line in linear regression, representing how much one variable changes when the other variable changes by one unit.

Residuals: The differences between observed values and predicted values in linear regression.

Correlation Coefficient (r): A measure of the strength and direction of the linear relationship between two variables.