regression constant
1regression — 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… …
2Regression toward the mean — In statistics, regression toward the mean (also known as regression to the mean) is the phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on a second measurement, and a fact that may… …
3Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… …
4regression coefficient — noun when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line • Topics …
5Régression multivariée par spline adaptative — La Régression multivariée par spline adaptative (en anglais MARS pour « Multivariate adaptive regression splines ») est une méthode statistique; plus précisément, c est une forme de modèle de régression présentée pour la première fois… …
6Régression de Cox — La régression de Cox (modèle à risque proportionnel)  nommée ainsi d après le statisticien britannique David Cox  est une classe de modèles de survie en statistiques. Les modèles de survie étudient le temps écoulé avant qu un événement… …
7Regression model validation — In statistics, model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked.[citation needed] Often the validation of a model seems to consist of nothing more than quoting the R2… …
8regression coefficient — /riˈgrɛʃən koʊəˌfɪʃənt/ (say ree greshuhn kohuh.fishuhnt) noun a constant by which a given value of a variable may be multiplied to obtain the best estimate of the value of a second variable corresponding to this value …
9Linear 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… …
10Multivariate adaptive regression splines — (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991.[1] It is a non parametric regression technique and can be seen as an extension of linear models that automatically models non linearities and interactions. The term… …
