SIMPLE REGRESSION (MODEL)

(Statistics) A model structure characterized by only one explanatory (Exogenous) variable, of the form: Yt = a + ß Xt + et; where: t represents the time periods of observation (where t=1, 2, ..., n); Yt represents the dependent (Endogenous) variable in time period t; a (alpha) represents the model equation's constant term (without a time reference); ß (beta, also a constant term without a time reference) represents the coefficient of the independent variable; Xt represents the independent variable in time period t; and et (epsilon), the error term, represents the value of the unexplained disturbance term. t represents the time periods of observation (where t=1, 2, ..., n); Yt represents the dependent (Endogenous) variable in time period t; a (alpha) represents the model equation's constant term (without a time reference); ß (beta, also a constant term without a time reference) represents the coefficient of the independent variable; Xt represents the independent variable in time period t; and et (epsilon), the error term, represents the value of the unexplained disturbance term. Also see Multiple Regression (Model).