Q.1 Table 1 is the monthly demand data for a company, use Nave method to forecast the demand for Feb., then use exponential smoothing method to forecast the demand for month 3-7 with a = 0.3. Table 1: Demand Data Month Demand 1 260 2 240 3 330 4 295 5 350 6 340 7 Q. 2 A company uses exponential smoothing with a=0.5 to forecast the demand for a product. The company records show the details of the forecast and demand. However, some of the data is lost and we could only find the data given below, and please answer the questions based on this partial data: a) Determine the demand forecast for Feb. b) Determine the actual demand for April and May (hint: think out of the box). Jan 280 300 Feb ? Forecast Actual Mar 390 370 Apr 380 ? May 410 ? Jun 400