Fill in the table by preparing forecasts based on a five-year moving average, a three-year moving average, and exponential smoothing (w = 0.9 andw = 0.3). (Note: The exponential smoothing forecasts may be begun by assuming Ŷt + 1 = Yt.)Year20002001200220032004200520062007200820092010Actual Demand1,4001,3901,4251,4301,4801,5001,4901,5251,5301,580*Moving Average(5-year)(3-year)Exponential Smoothing(W = 0.3)(W = 0.9) Year (5-year)20055,62520062,02520073,6002,0255,62520082009RMSESquare ErrorMoving Average(3-year)3,0254001,2256254,225O Exponential smoothing (w = 0.3)Exponential smoothing (w = 0.9)Exponential Smoothing(W = 0.9)(W = 0.3)6254,489641,3691,1563,721642,3047,056Based on the RMSE criterion, which of the forecasting methods is the most accurate?O Five-year moving averageO Three-year moving average2,601

Given information:The table for the year and the actual value are given.

Fill in the table by preparing forecasts based on a five-year moving average, a three-year moving average, and exponential smoothing (w = 0.9 and w = 0.3). (Note: The exponential smoothing forecasts may be begun by assuming Yt + 1 = Yt.) Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Actual Demand 1,400 1,390 1,425 1,430 1,480 1,500 1,490 1,525 1,530 1,580 * Moving Average (5-year) (3-year) Exponential Smoothing (W = 0.9) (W = 0.3)