spurious correlation


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spurious correlation

[′spyu̇r·ē·əs ‚kä·rə′lā·shən]
(statistics)
The value of the coefficient of correlation when it is computed correctly but its relationship implications are nonsensical or unreasonable.

spurious correlation

see MULTIVARIATE ANALYSIS.
References in periodicals archive ?
Pearson (1897) discussed the problem of spurious correlations with the use of indices that comprise a part-whole relationship.
As a ratio term, relative strength can induce spurious correlations in regression equations[17].
Therefore, they disregarded the contention of spurious correlation to the BKS study.
So we can rule out the possibility of a spurious correlation, and be sure that does cause R.
Spurious correlations can result when two variables in a model appear related, but there is no basis in fact for their relationship.
Many experts in the field say that Soon uses out-of-date data, publishes spurious correlations between solar output and climate indicators, and does not take account of the evidence implicating emissions from human behavior in climate change.
Next, sources of shared method variance beyond the format of the questionnaire may also result in spurious correlations.
In addition, we argue that other analysis problems likely created entirely spurious correlations in some cases.
The smaller the ratio of times to number of SKUs (T/N) the more the analysis will be affected by spurious correlations.
Both are spurious correlations until such time as some real statistics are shown to suggest otherwise.
This method of estimating plant weight may cause spurious correlations between plant weight and stalk number, and between plant weight and stalk weight (Kang et al.
The book's investigation of the discovery of such problems as spurious correlations between time series and the development of smoothing and decomposition techniques were fascinating to me.