Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Linear regression models the relationship between a dependent and independent variable (s). A linear regression essentially estimates a line of best fit among all variables in the model.

One of the simplest prediction methods is linear regression, in which we attempt to find a 'best line' through the data points.

Lesson 9 Simple Linear Regression The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis.

Statistical texts written by geographers invariably illustrate and calculate the prediction limits about an estimated regression line as pairs of parallel lines. Such limits should be hyperbolic when ...

In particular, if the linear regression relation contains p parameters, minimizing the sum of the absolute value of the "vertical" deviations from the regression line is shown to reduce to a p ...