Eagle Stores is a retailer of office supplies. The monthly retail demand for a product is provided below from January 2015 to October 2016 DEMAND DATA Month January February March April May June Year 2015 616 832 898 964 880 1016 912 828 894 850 1010 969 2016 758 974 940 1126 1032 988 1004 870 1056 1020 August September October November December Use the nave method to forecast the demand for November and December 2016 a. b. Use the moving average method with 4 periods to forecast the demand for November and December 2016 c. Use the exponential smoothing method with smoothing constant 0.7 to forecast the demand for November and December 2016. Initialize the forecasting method using the d. Fit a trend line to the demand data from January 2015 to December 2015. What is the e. What is the forecasted demand for November and December 2016 if you use this trend f. How reliable is this forecast from a statistical perspective? actual demand in January 2015 trend line equation? line equation? g. Compute the MAD of the trend line method used in part (d). Use the forecasts from h. i. January 2016 to October 2016 to compute the MAD of the method What is the interpretation of MAD? Explain clearly why it is important to compute and track forecast accuracy