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Regression lineaire multiple — Régression linéaire multiple Pour les articles homonymes, voir Régression. Sommaire 1 Modèle théorique 1.1 Exemple 1.2 E … Wikipédia en Français
Régression multilinéaire — Régression linéaire multiple Pour les articles homonymes, voir Régression. Sommaire 1 Modèle théorique 1.1 Exemple 1.2 E … Wikipédia en Français
regression — regression, regression analysis A term used originally to describe the fact that if, for example, parents and children s weights are measured, the children s weights tend to be closer to the average than are those of their parents: unusually… … Dictionary of sociology
Weight cutting — is the practice of rapid weight loss prior to a sporting competition. It most frequently happens in order to qualify for a lower weight class (usually in combat sports, where weight is a significant advantage) or in sports where it is… … Wikipedia
Régression linéaire multiple — Pour les articles homonymes, voir Régression. La régression linéaire multiple est une analyse statistique qui décrit les variations d une variable endogène associée aux variations de plusieurs variables exogènes. Par exemple, une analyse de… … Wikipédia en Français
regression — 1. A subsidence of symptoms. 2. A relapse; a return of symptoms. 3. Any retrograde movement or action. 4. A return to a more primitive mode of behavior due to an inability to function adequately a … Medical dictionary
Unit-weighted regression — In statistics, unit weighted regression is perhaps the easiest form of multiple regression analysis, a method in which two or more variables are used to predict the value of an outcome. At a conceptual level, the example of weight loss can… … Wikipedia
Local regression — LOESS, or locally weighted scatterplot smoothing, is one of many modern modeling methods that build on classical methods, such as linear and nonlinear least squares regression. Modern regression methods are designed to address situations in which … Wikipedia
Bayesian linear regression — In statistics, Bayesian linear regression is a Bayesian alternative to the more well known ordinary least squares linear regression.Consider standard linear regression problem, where we specify the conditional density of y, given x, predictor… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
Nonlinear regression — See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… … Wikipedia
