Transcontinental Airlines maintains a computerized forecasting system to forecast the number of customers in each fare class who will fly on each flight in order to allocate the available reservations to fare classes properly. For example, consider economy-class customers flying in midweek on the noon flight from New York to Los Angeles. The following table shows the average number of such passengers during each month of the year just completed. The table also shows the seasonal factor that has been assigned to each month based on historical data. Show all formulas and calculations. Month Average Number Seasonal Factor Month Average Number Seasonal Factor January 68 0,9 July 94 1,17 February 71 0,88 August 96 1,15 March 66 0,91 September 80 0,97 April 72 0,93 October 73 0,91 May 77 0,96 November 84 1,05 June 85 1,09 December 89 1,08 a. After considering seasonal effects, compare the MAD values for the last-value method, the averaging method, the moving average method (based on the most recent three months), and the exponential smoothing method (with an initial estimate of 80 and a smoothing constant of 0.2 when they are applied retrospectively to the past year