A B C D E F G H K L M N Time series plot Year Month Demand 2015 January 1560 Paste your time series plot in this red area. 2015 February 1680 2015 March 1710 un 2015 April 1740 2015 May 1680 2015 June 1752 2015 July 1680 9 2015 August 1560 10 2015 September 1650 11 2015 October 1800 12 2015 November 1860 13 2015 December 1800 14 2016 January 1530 15 2016 February 1650 16 2016 March 1620 17 2016 April 1710 18 2016 May 1680 19 2016 June 1620 20 2016 July 1530 21 2016 August 1620 22 2016 September 1560 23 2016 October to be forecast 24 2016 November to be forecast 25 2016 December to be forecast 2627 28 Year Month Demand 29 2015 January 1560 30 2015 February 1680 31 2015 March 1710 32 2015 April 1740 33 2015 May 1680 34 2015 June 1752 35 2015 July 1680 36 2015 August 1560 37 2015 September 1650 38 2015 October 1800 39 2015 November 1860 Forecasts 40 2015 December 1800 Naive MA ES Trendline 41 2016 January 1530 42 2016 February 1650 43 2016 March 1620 44 2016 April 1710 45 2016 May 1680 46 2016 June 1620 47 2016 July 1530 48 2016 August 1620 19 2016 September 1560 50 2016 October to be forecast 51 2016 November to be forecast 52 2016 December to be forecast 53 54 Forecasts 55 Naive MA ES Trendline 56 MADa. Prepare a timeseries plot of the data. Does the data appear to have a trend or seasonality? b. Use the naive method to forecast the demand for the last three months of 2016. c. Use the moving average method with 4 periods, i.e., MAM}, to forecast the monthly demand for January 2016 through December 2016. d- Use the exponential smoothing method with (120.4 to forecast the monthly demand for January 2016 through December 2016. Use the actual demand observed in January 2015 as your initial forecast for January 2015 [That is, start the model in January 2015. e. Fit a trend line to the data provided for January 2015 to December 2015. Using the equation of the trend line you found, forecast the monthly demand for January 2016 through December 2016. f. Compute the MAD for each method, that is, the Naive, MAM}, ES(0-4), and the trend line during January 2016 to September 2016. g. Choose one of the timeseries methods you analyzed thus far which will provide you the most reliable estimate and why? What are the demand forecasts for the last three months of 2016 if this method is used