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  2. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    Graphical model: Whereas a mediator is a factor in the causal chain (top), a confounder is a spurious factor incorrectly implying causation (bottom). In statistics, a spurious relationship or spurious correlation [1] [2] is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third ...

  3. Spurious correlation of ratios - Wikipedia

    en.wikipedia.org/wiki/Spurious_correlation_of_ratios

    The phenomenon of spurious correlation of ratios is one of the main motives for the field of compositional data analysis, which deals with the analysis of variables that carry only relative information, such as proportions, percentages and parts-per-million. [3] [4] Spurious correlation is distinct from misconceptions about correlation and ...

  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. Confounding - Wikipedia

    en.wikipedia.org/wiki/Confounding

    Confounding is a causal concept, and as such, cannot be described in terms of correlations or associations. [ 1 ] [ 2 ] [ 3 ] The existence of confounders is an important quantitative explanation why correlation does not imply causation .

  6. Correlation does not imply causation - Wikipedia

    en.wikipedia.org/wiki/Correlation_does_not_imply...

    [3] That is the meaning intended by statisticians when they say causation is not certain. Indeed, p implies q has the technical meaning of the material conditional: if p then q symbolized as p → q. That is, "if circumstance p is true, then q follows." In that sense, it is always correct to say "Correlation does not imply causation."

  7. Aaron Rodgers vs Ryan Clark: What to know about Jets QB's ...

    www.aol.com/aaron-rodgers-vs-ryan-clark...

    New York Jets quarterback Aaron Rodgers has developed many beefs over the last few years, but his latest has come with ESPN analyst Ryan Clark.

  8. Mediation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Mediation_(statistics)

    Simple mediation model. The independent variable causes the mediator variable; the mediator variable causes the dependent variable. In statistics, a mediation model seeks to identify and explain the mechanism or process that underlies an observed relationship between an independent variable and a dependent variable via the inclusion of a third hypothetical variable, known as a mediator ...

  9. Gay couples rush to take oath of marriage before Trump takes ...

    www.aol.com/gay-couples-rush-oath-marriage...

    Gay couples are rushing to get married, begin fertility treatments and take other measures out of fear their rights may be rescinded during a second Trump administration.