Regression analysis
Regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed.
Overview[edit  edit source]
Most commonly, regression analysis estimates the conditional expectation of the dependent variable given the independent variables – that is, the average value of the dependent variable when the independent variables are fixed. Less commonly, the focus is on a quantile, or other location parameter of the conditional distribution of the dependent variable given the independent variables. In all cases, a function of the independent variables called the regression function is to be estimated. In regression analysis, it is also of interest to characterize the variation of the dependent variable around the regression function which can be described by a probability distribution.
Types of regression analysis[edit  edit source]
There are several types of regression analysis. Simple regression analysis uses a single independent variable to predict the value of a dependent variable. Multiple regression analysis uses more than one independent variable to predict the value of a dependent variable by fitting a best linear equation.
Uses of regression analysis[edit  edit source]
Regression analysis is primarily used for two conceptually distinct purposes. First, regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning. Second, in some situations regression analysis can be used to infer causal relationships between the independent and dependent variables.
See also[edit  edit source]
 Correlation and dependence
 Curve fitting
 Empirical statistical laws
 Errors and residuals in statistics
 Estimation theory
 Forecasting
 Linear regression
 Nonlinear regression
 Robust regression
References[edit  edit source]
Regression analysis Resources  




Find a healthcare provider anywhere in the world quickly and easily!
Translate to: East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
Urdu,
বাংলা,
తెలుగు,
தமிழ்,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
European
español,
Deutsch,
français,
русский,
português do Brasil,
Italian,
polski
WikiMD is the world's largest, free medical and wellness encyclopedia edited only by professionals. Advertise!
Navigation: Wellness  Encyclopedia  Health topics  Disease Index  Drugs  World Directory  Gray's Anatomy  Keto diet  Recipes
Search WikiMD
Ad.Tired of being Overweight? Try W8MD's physician weight loss program.
Semaglutide (Ozempic / Wegovy and Tirzepatide (Mounjaro) available.
Advertise on WikiMD
WikiMD is not a substitute for professional medical advice. See full disclaimer.
Credits:Most images are courtesy of Wikimedia commons, and templates Wikipedia, licensed under CC BY SA or similar.
Contributors: Admin, Prab R. Tumpati, MD