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Endogenous variables are those that are characteristic of the system under primary study. Exogenous variables are those that may be acting on the system under study. For example, if a scientist is studying patients with migraines then she might measure heights, weights, headache severity and frequency, etc as endogenous variables and food intakes, weather conditions, stress levels, etc as exogenous variables.
'''Exogenous''' (or exogeneous) (from the [[wiki/Greek language|Greek]] words "exo" and "genis", meaning "outside" and "generated") refers to an action or object coming from outside a system. It is the opposite of [[wiki/Endogenous|endogenous]], something generated from within the system.
The exogenous ones, which are set by an outside agent, and the endogenous ones, which occur inside a problem. So if you look at this formula for a wave in one dimension: y = exp(-jkx), where k = 2pi / lambda lambda and x are exogenous while k is endogenous (j and pi are constants).
Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.
If there is mode you can put no mode or none for example1.2.11.14.17.4.21.9There is no mode hope it help