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  2. 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.

  3. Regression fallacy - Wikipedia

    en.wikipedia.org/wiki/Regression_fallacy

    However, this was not the case. The reason is that political power and occupation of territories is not primarily determined by random events, making the concept of regression toward the mean inapplicable (on the large scale). In essence, misapplication of regression toward the mean can reduce all events to a just-so story, without cause or ...

  4. 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). [9] [10] For Galton, regression had only this biological meaning, [11] [12] but his work was later extended by Udny Yule and Karl Pearson to a more general statistical context.

  5. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    Since the data in this context is defined to be (x, y) pairs for every observation, the mean response at a given value of x, say x d, is an estimate of the mean of the y values in the population at the x value of x d, that is ^ ^. The variance of the mean response is given by: [11]

  6. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    It is remarkable that the sum of squares of the residuals and the sample mean can be shown to be independent of each other, using, e.g. Basu's theorem.That fact, and the normal and chi-squared distributions given above form the basis of calculations involving the t-statistic:

  7. Mean reversion (finance) - Wikipedia

    en.wikipedia.org/wiki/Mean_reversion_(finance)

    Mean reversion is a financial term for the assumption that an asset's price will tend to converge to the average price over time. [ 1 ] [ 2 ] Using mean reversion as a timing strategy involves both the identification of the trading range for a security and the computation of the average price using quantitative methods.

  8. Mean reversion - Wikipedia

    en.wikipedia.org/wiki/Mean_reversion

    Mean reversion may refer to: Regression toward the mean; Ornstein–Uhlenbeck process; Mean reversion (finance) This page was last edited on 29 ...

  9. Mean squared prediction error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_prediction_error

    Since the regression process is tailored to the q in-sample points, normally the in-sample MSPE will be smaller than the out-of-sample one computed over the n – q held-back points. If the increase in the MSPE out of sample compared to in sample is relatively slight, that results in the model being viewed favorably.