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

Correlation vs Regression: Both correlation and regression are two powerful tools of statistics and data analysis used to understand the relationships between variables.

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Further statistics in dentistry: In order to introduce the concepts underlying multiple linear regression, it is necessary to be familiar with and understand the basic theory of simple linear ...

In regression models, the underlying theory frequently leads to specification of more than one functional form for the conditional mean of the response. The main problem in such cases is whether the ...

Comparing regression coefficients between models when one model is nested within another is of great practical interest when two explanations of a given phenomenon are specified as linear models. The ...