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- Spurious_relationship abstract "In statistics, a spurious relationship (or, sometimes, spurious correlation) is a mathematical relationship in which two events or variables have no direct causal connection, yet it may be wrongly inferred that they do, due to either coincidence or the presence of a certain third, unseen factor (referred to as a "confounding factor" or "lurking variable"). Suppose there is found to be a correlation between A and B. Aside from coincidence, there are three possible relationships: A causes B, B causes A, OR C causes both A and B.In the last case there is a spurious correlation between A and B. In a regression model where A is regressed on B but C is actually the true causal factor for A, this misleading choice of independent variable (B instead of C) is called specification error.Because correlation can arise from the presence of a lurking variable rather than from direct causation, it is often said that "Correlation does not imply causation".A spurious relationship should not be confused with a spurious regression, which refers to a regression that shows significant results due to the presence of a unit root in both variables.[citation needed]".
- Spurious_relationship wikiPageExternalLink lecture_sec1.htm.
- Spurious_relationship wikiPageExternalLink wcbspurcorl.htm.
- Spurious_relationship wikiPageID "484778".
- Spurious_relationship wikiPageRevisionID "598456771".
- Spurious_relationship hasPhotoCollection Spurious_relationship.
- Spurious_relationship subject Category:Logic_and_statistics.
- Spurious_relationship subject Category:Logical_fallacies.
- Spurious_relationship subject Category:Statistical_dependence.
- Spurious_relationship type Abstraction100002137.
- Spurious_relationship type Cognition100023271.
- Spurious_relationship type Content105809192.
- Spurious_relationship type Fallacy105893916.
- Spurious_relationship type Idea105833840.
- Spurious_relationship type LogicalFallacies.
- Spurious_relationship type LogicalFallacy105894143.
- Spurious_relationship type Misconception105893653.
- Spurious_relationship type PsychologicalFeature100023100.
- Spurious_relationship comment "In statistics, a spurious relationship (or, sometimes, spurious correlation) is a mathematical relationship in which two events or variables have no direct causal connection, yet it may be wrongly inferred that they do, due to either coincidence or the presence of a certain third, unseen factor (referred to as a "confounding factor" or "lurking variable"). Suppose there is found to be a correlation between A and B.".
- Spurious_relationship label "Correlazione spuria".
- Spurious_relationship label "Regressão espúria".
- Spurious_relationship label "Relación espuria".
- Spurious_relationship label "Scheinkorrelation".
- Spurious_relationship label "Spurious relationship".
- Spurious_relationship label "偽關係".
- Spurious_relationship label "擬似相関".
- Spurious_relationship sameAs Scheinkorrelation.
- Spurious_relationship sameAs Relación_espuria.
- Spurious_relationship sameAs Correlazione_spuria.
- Spurious_relationship sameAs 擬似相関.
- Spurious_relationship sameAs Regressão_espúria.
- Spurious_relationship sameAs m.02g2nh.
- Spurious_relationship sameAs Q1462316.
- Spurious_relationship sameAs Q1462316.
- Spurious_relationship sameAs Spurious_relationship.
- Spurious_relationship wasDerivedFrom Spurious_relationship?oldid=598456771.
- Spurious_relationship isPrimaryTopicOf Spurious_relationship.