a) Using a 2 yaar maving average, he forecast for year 6 = mies rukd your respanse ta the nacrost whols numbed. whole rumber). of malehed dale! d) Using sassoential amoobing with =0.50 and the fotecast far year 1 being 3,000 , the forscast for year 6= a) Using a 2-year moving average, the forecast for year 6= mies (round your nesponse to the nearost whale number). c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.40 and 0.60 (the weight of 0.60 is for the most recent period) * Whale number). The MAD for the forecast developed using a weighted 2-year meving average wer weights of 0.40 and 0.60= mies (round your response to ante decimal placel. fhint You wal have ony 3 yeara of matched data.) d) Using axponential smoothing with a=0.50 and the forecast for year 1 being 3,000 , the torecast for year 6= miles fround your reaponse to the noarest whole number). a) Using a 2 yaar maving average, he forecast for year 6 = mies rukd your respanse ta the nacrost whols numbed. whole rumber). of malehed dale! d) Using sassoential amoobing with =0.50 and the fotecast far year 1 being 3,000 , the forscast for year 6= a) Using a 2-year moving average, the forecast for year 6= mies (round your nesponse to the nearost whale number). c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.40 and 0.60 (the weight of 0.60 is for the most recent period) * Whale number). The MAD for the forecast developed using a weighted 2-year meving average wer weights of 0.40 and 0.60= mies (round your response to ante decimal placel. fhint You wal have ony 3 yeara of matched data.) d) Using axponential smoothing with a=0.50 and the forecast for year 1 being 3,000 , the torecast for year 6= miles fround your reaponse to the noarest whole number)