Help with the time series questions below

Question 1 Suppose that you have a monthiy time series which contains only a ievei. in this instance, Group of answer choices A simple exponential smoothing model is sufficient to model the observed pattern We necessarily should use an exponential smoothing model that is capable of handling a trend We necessarily should use an exponential smoothing model that is capable of handling multiplicative seasonality We necessarily should use an exponential smoothing model that is capable of handling both a trend and seasonality Question 2 A company that sells a popular condiment often uses three types of planned promotions. Because these promotions are fairly irregular, the analyst decides to apply special even models complementing exponential smoothing models. Accordingly a special even variable was created with the aim of exploring the effect of each type of promotion on sales. Group of answer choices The special event variable takes values 1, 2 or 3 The special event variable takes values 0, 1 or 2 The special event variable takes values 0, 1, 2 or 3 The special event variable takes values 1, 2, 3 or 4 Question 3 The exponential smoothing family of models are not designed to model Group of answer choices A multiplicative seasonality A long-term cycle A linear trend A level Question 4 Forecasting the cyclical component of a cyclic time series is very challenging because Group of answer choices it involves de-seasonalizing the time series it involves forecasting the long term average it involves anticipation of an upco ming turning point in the time series it involves anticipating a regularly occurring periodic event Question 5Say you fitted a damped trend exponential smoothing model with no seasonality to a monthly time series. It turned out that the damping parameter was estimated to be 0.9998. What have we learned? Group of answer choices Trend is fairly weak. The observed trend is strongly damped. The trend is fairly linear. The trend appears to be exponential