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

If μ (X) varies with X, then we say that Y has a regression on X (Fig. 1). Regression is a specific kind of association and may be linear or nonlinear (Fig. 1c,d).

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

Hence this linear regression equation was selected for development of diameter class-wise volume equations. Volume of the stem was taken as the dependent variable, while DBH and tree height were used ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.