Regression

Regression could refer to:

  • Regression (psychology), a defensive reaction to some unaccepted impulses
  • Regression analysis, a statistical technique for estimating the relationships among variables. There are several types of regression:
    • Linear regression model
    • Simple linear regression
    • Logistic regression
    • Nonlinear regression
    • Nonparametric regression
    • Robust regression
    • Stepwise regression
  • Regression toward the mean, a common statistical phenomenon
  • Regression (economics), Ludwig von Mises' theorem that tries to explain why money is demanded in its own right
  • Software regression, the appearance of a bug which was absent in a previous revision
  • Regression testing, a software testing method which seeks to uncover regression bugs
  • Infinite regress, a problem in epistemology
  • Marine regression, coastal advance due to falling sea level, the opposite of marine transgression
  • Regression (medicine), a characteristic of diseases to express lighter symptoms without disappearing totally
  • Age regression in therapy
  • Past life regression, a process claiming to retrieve memories of previous lives

Other articles related to "regression":

Multivariate Adaptive Regression Splines
... Multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991 ... It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models non-linearities and interactions between variables ...
Leverage (statistics)
... In statistics, leverage is a term used in connection with regression analysis and, in particular, in analyses aimed at identifying those observations that are far away from corresponding ... points do not necessarily have a large effect on the outcome of fitting regression models ... that the lack of neighboring observations means that the fitted regression model will pass close to that particular observation ...
Moderation (statistics) - Example
... analysis in the behavioral sciences involves the use of linear multiple regression analysis or causal modelling ... To quantify the effect of a moderating variable in multiple regression analyses, regressing random variable Y on X, an additional term is added to the model ... See linear regression for discussion of statistical evaluation of parameter estimates in regression analyses ...
Moderation (statistics) - Multicollinearity in Moderated Regression
... In moderated regression analysis, a new interaction predictor is calculated ... This is the problem of multicollinearity in moderated regression ...