regression effect
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Regression fallacy — The regression (or regressive) fallacy is an informal fallacy. It ascribes cause where none exists. The flaw is failing to account for natural fluctuations. It is frequently a special kind of the post hoc fallacy. Explanation Things like stock… … Wikipedia
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
Regression dilution — is a statistical phenomenon also known as attenuation . Consider fitting a straight line for the relationship of an outcome variable y to a predictor variable x, and estimating the gradient (slope) of the line. Statistical variability,… … Wikipedia
Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… … Wikipedia
Regression 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… … Wikipedia
Regression discontinuity design — In statistics, econometrics, epidemiology and related disciplines, a regression discontinuity design (RDD) is a design that elicits the causal effects of interventions by exploiting a given exogenous threshold determining assignment to treatment … Wikipedia
Regression discontinuity — In the design of experiments, regression discontinuity (RD) designs are designs that evaluate causal effects of interventions, in which assignment to a treatment is determined at least partly by the value of an observed covariate lying on either… … 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
Partial regression plot — In applied statistics, a partial regression plot attempts to show the effect of adding an additional variable to the model (given that one or more indpendent variables are already in the model). Partial regression plots are also referred to as… … Wikipedia
Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… … Wikipedia
Multivariate 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… … Wikipedia