MULTIPLE REGRESSION (MODEL)

(Statistics) A Regression Model structure characterized by more than one Explanatory, or Exogenous Variable, of the form Yt = a + ßX1t + ð X2t + 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 first independent variable, X1t represents the first independent variable in time period t, ð (delta, a constant term without a time reference) represents the coefficient of the second independent variable, X2t represents the second independent variable in time period t, and the error term, et (epsilon), represents the value of the unexplained disturbance term.