when is stationarity of a model required? which equation is used when stationary why must the solutions on the characteristic equation be greater than one for an auto regressive model to be stationary? how to prove regressive model is stationary why does an auto regressive model have to be stationary what is the solution of the characteristic equation of an auto regression model? why is stationarity of an auto-regressive why are regressive auto models stationary? why is the model of auto regressive stationary why must the solutions of the characteristic equation be greater than 1 for an auto regressive model to be stationary why must the solutions of the characteristic equation be greater than 1 for an auto regressive model to be stationary? why do the solutions of the characteristic equation of a stationary model have to be greater than one? why do regressive models have higher solution units? why must the solutions of the characteristic equation be greater than 1 for an auto-regressive model to be stationary? why do you have to find the stationary state of an auto-regressive model to make it possible to run a regressive model which characteristic equation is stationary? which statement is true for an autoregressive model in which the solution of the characteristic equation must be greater than one? how does stationarity occur in a model why must the solutions of the characteristic equation be greater than 1 for an auto regressive model to be stationary? which characteristic equation must be more than 0 for an auto-regressive model to be stationary?