$3$: Say you are using a $2-$month moving average to forecast ahead $4$ periods $($months$).$ Which of the following is true? When forecasting ahead $4$ periods, the last period forecast will be based on just forecasted values. The final period forecast, $$t$+4$ will equal $$t$+3.$ Each of the four forecasted values will equal the mean of the last two actual $($vs$.$ forecasted$)$ data values. The value $$t$+4$ should not be used as only a $2-$month ahead forecast is valid. $4.$ The chapter used several terms to classify the models or techniques that use the past behavior of a time$-$series variable to predict the future. Which of the follow does not refer to a method of time$-$series analysis, but is a means to evaluate those methods? Forecasting Extrapolation Trend Mean Square Error $5.$ From year to year, monthly data on the number of flu cases seen in a hospital emergency department would likely show consistent increases during certain months, and decreases during others. This is an example of exponential smoothing seasonality Holt's method None of the above $7.$ Exponential smoothing is applicable to non$-$stationary data. true false $10.$ MAD, MAPE, MSE and RMSE are measures of model accuracy. true false