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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 ...
An economic variable can be exogenous in some models and endogenous in others. In particular this can happen when one model also serves as a component of a broader model.
In mathematics, a function is a rule for taking an input (in the simplest case, a number or set of numbers) [5] and providing an output (which may also be a number). [5] A symbol that stands for an arbitrary input is called an independent variable, while a symbol that stands for an arbitrary output is called a dependent variable. [6]
In statistics there is a synonym for intervening variable - "mediator variable". See Mediation (statistics). It seems that some crossreferences or merging needed. —Preceding unsigned comment added by 90.189.181.244 17:38, 5 March 2011 (UTC)
In this situation, the term hidden variables is commonly used (reflecting the fact that the variables are meaningful, but not observable). Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures.
These intervening opportunities may persuade a migrant to settle in a place in the route rather than proceeding to the originally planned destination. Stouffer argued that the volume of migration had less to do with distance and population totals than with the opportunities in each location. [2] This is in contrast to Zipf's Inverse distance ...
Breaking the chain (or novus actus interveniens, literally new intervening act) refers in English law to the idea that causal connections are deemed to finish. Even if the defendant can be shown to have acted negligently, there will be no liability if some new intervening act breaks the chain of causation between that negligence and the loss or damage sustained by the claimant.
A superseding cause is an unforeseeable intervening cause. By contrast, a foreseeable intervening cause typically does not break the chain of causality, meaning that the tortfeasor is still responsible for the victim's injury—unless the event leads to an unforeseeable result. For example (as in the US case of Watson v.