2. The time series provided at the bottom of this assignment is seasonal, with four seasons a cycle. and represents the total number of customers visiting a store per quarter. The time series started at time t=1 with season 1. (i) Obtain the forecasting regression equation, and write it down. (ii) Can you argue at 2.5% significance level that a linear trend element is present in this time series? Show the hypotheses and perform the test. (iii) What is the meaning of the coefficient -54.3 that belongs to season 1? a. We need to add 54.3 when performing a forecast for season 1 b. Season 1 comes right after season 4. Subtract 54.3 from the forecast for season 4. c. If the trend value at any time 't' is, say L, the forecast of Yr for this time is Lt 54.3. d. None of the above