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  2. Negative relationship - Wikipedia

    en.wikipedia.org/wiki/Negative_relationship

    A negative correlation between variables is also called inverse correlation. Negative correlation can be seen geometrically when two normalized random vectors are viewed as points on a sphere, and the correlation between them is the cosine of the circular arc of separation of the points on a great circle of the sphere. [ 1 ]

  3. Dunning–Kruger effect - Wikipedia

    en.wikipedia.org/wiki/Dunning–Kruger_effect

    The Dunning–Kruger effect, on the other hand, focuses on how this type of misjudgment happens for poor performers. [38] [2] [4] When the better-than-average effect is paired with regression toward the mean, it shows a similar tendency. This way, it can explain both that unskilled people greatly overestimate their competence and that the ...

  4. Correlation - Wikipedia

    en.wikipedia.org/wiki/Correlation

    The correlation coefficient is +1 in the case of a perfect direct (increasing) linear relationship (correlation), −1 in the case of a perfect inverse (decreasing) linear relationship (anti-correlation), [5] and some value in the open interval (,) in all other cases, indicating the degree of linear dependence between the variables. As it ...

  5. Inverse correlation - Wikipedia

    en.wikipedia.org/?title=Inverse_correlation&...

    This page was last edited on 24 January 2017, at 16:23 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  6. Fisher transformation - Wikipedia

    en.wikipedia.org/wiki/Fisher_transformation

    In statistics, the Fisher transformation (or Fisher z-transformation) of a Pearson correlation coefficient is its inverse hyperbolic tangent (artanh). When the sample correlation coefficient r is near 1 or -1, its distribution is highly skewed , which makes it difficult to estimate confidence intervals and apply tests of significance for the ...

  7. Bivariate data - Wikipedia

    en.wikipedia.org/wiki/Bivariate_data

    Correlations between the two variables are determined as strong or weak correlations and are rated on a scale of –1 to 1, where 1 is a perfect direct correlation, –1 is a perfect inverse correlation, and 0 is no correlation. In the case of long legs and long strides, there would be a strong direct correlation. [6]

  8. Reverse correlation technique - Wikipedia

    en.wikipedia.org/wiki/Reverse_correlation_technique

    The reverse correlation technique is a data driven study method used primarily in psychological and neurophysiological research. [1] This method earned its name from its origins in neurophysiology, where cross-correlations between white noise stimuli and sparsely occurring neuronal spikes could be computed quicker when only computing it for segments preceding the spikes.

  9. Inverse relation - Wikipedia

    en.wikipedia.org/wiki/Inverse_relation

    In mathematics, inverse relation may refer to: Converse relation or "transpose", in set theory; Negative relationship, in statistics; Inverse proportionality; Relation between two sequences, expressing each of them in terms of the other