how does including lags imply losing observations a time series how does including lags imply losing observations how does running this model implies k observations? why does time series model imply observations are wasted how does a lag imply observations to be lost? how often does including lags require losing observations how does including lags imply losing observation how does imply lag how does include lags imply losing observations? which of the following assumes that observations are lost? how does including lags imply losing observations is running an invariant a observation or a lag how does lags imply does lag mean observations are lost does included lags imply losing observations how does including lags imply losing observations is it possible to lose observation by a run time series how can a time series model include lags and not lose observations how does including lags imply losing observations what is the implication of the running of the time series model that you have fewer observations?