Definition of Spurious correlation:
In statistics, a spurious correlation, or spuriousness, refers to a connection between two variables that appears causal but is not. Spurious relationships often have the appearance of one variable affecting another. This spurious correlation is often caused by a third factor that is not apparent at the time of examination, sometimes called a confounding factor.
A mathematical relationship between two variables that do not result from any direct relationship but is wrongly inferred to be related to each other. The false assumption of correlation may be attributed to coincidence or to another unseen factor.
When two random variables track each other closely on a graph, it is easy to suspect correlation, or a relationship between the two factors, where a change affects the other. Setting aside "causation," another topic, this observation can lead the reader of the chart to believe that the movement of variable A is linked to the movement in variable B or vice versa. but sometimes, upon closer statistical examination, the aligned movements are coincidental or caused by a third factor that affects the first two. This is a spurious correlation. Research done with small sample sizes or arbitrary endpoints is particularity susceptible to spuriousness.
How to use Spurious correlation in a sentence?
- Spurious Correlation can often be caused by small sample sizes or arbitrary endpoints.
- The appearance of a causal relationship is often due to similar movement on a chart which turns out to be coincidental or caused by a third "confounding" factor.
- Spurious Correlation, or spuriousness, is when two factors appear casually related but are not.
Meaning of Spurious correlation & Spurious correlation Definition