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  2. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The phenomenon was that the heights of descendants of tall ancestors tend to regress down towards a normal average (a phenomenon also known as regression toward the mean). [7] [8] For Galton, regression had only this biological meaning, [9] [10] but his work was later extended by Udny Yule and Karl Pearson to a more general statistical context.

  3. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    Quantile regression focuses on the conditional quantiles of y given X rather than the conditional mean of y given X. Linear quantile regression models a particular conditional quantile, for example the conditional median, as a linear function β T x of the predictors.

  4. Regression toward the mean - Wikipedia

    en.wikipedia.org/wiki/Regression_toward_the_mean

    Galton's experimental setup "Standard eugenics scheme of descent" – early application of Galton's insight [1]. In statistics, regression toward the mean (also called regression to the mean, reversion to the mean, and reversion to mediocrity) is the phenomenon where if one sample of a random variable is extreme, the next sampling of the same random variable is likely to be closer to its mean.

  5. Regression - Wikipedia

    en.wikipedia.org/wiki/Regression

    Regression (medicine), a characteristic of diseases to express lighter symptoms or less extent (mainly for tumors), without disappearing totally; Regression (psychology), a defensive reaction to some unaccepted impulses; Nodal regression, the movement of the nodes of an object in orbit, in the opposite direction to the motion of the object

  6. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    The distinction is most important in regression analysis, where the concepts are sometimes called the regression errors and regression residuals and where they lead to the concept of studentized residuals.

  7. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    Deming regression (total least squares) also finds a line that fits a set of two-dimensional sample points, but (unlike ordinary least squares, least absolute deviations, and median slope regression) it is not really an instance of simple linear regression, because it does not separate the coordinates into one dependent and one independent ...

  8. Regression (psychology) - Wikipedia

    en.wikipedia.org/wiki/Regression_(psychology)

    Such ego regression is a pre-condition for empathy'. [22] Demonstration of pain, impairment, etc. also relates to regression. When regression becomes the cornerstone of a personality and the life strategy for overcoming problems, it leads to such an infantile personality. [23]

  9. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).