C u apie teill. Instruction: The following are the number of tires demanded for the past two years for XYZ company; Quarter Actual Demand Year 1 Year 2 100 90 95 90 98 92 90 88 Requirements: Assume that an initial forecast of 100 for 1" Quarter of year 3 and a trend of 2 was set. Compute for the forecasted period demand for year three using Holt's Double Exponential Smoothing at a smoothing constant alpha of 0.4 and a B=0.3. (Use Year 2 data as actual values) (1 mark process + / mark correct answer) x 7 days 14 2. A total demand of year three is 700 tires; use the multiplicative seasonal method to prepare the period demand forecast for year three. (1 mark process + 1 mark correct answer) x 7 days = 14 3. Using linear regression, calculate the forecasted period demand for year three assuming period would serve as X. Use the data in year two as actual values for this method. (1 mark process + 1 mark correct answer).x 7 days = 14 C u apie teill. Instruction: The following are the number of tires demanded for the past two years for XYZ company; Quarter Actual Demand Year 1 Year 2 100 90 95 90 98 92 90 88 Requirements: Assume that an initial forecast of 100 for 1" Quarter of year 3 and a trend of 2 was set. Compute for the forecasted period demand for year three using Holt's Double Exponential Smoothing at a smoothing constant alpha of 0.4 and a B=0.3. (Use Year 2 data as actual values) (1 mark process + / mark correct answer) x 7 days 14 2. A total demand of year three is 700 tires; use the multiplicative seasonal method to prepare the period demand forecast for year three. (1 mark process + 1 mark correct answer) x 7 days = 14 3. Using linear regression, calculate the forecasted period demand for year three assuming period would serve as X. Use the data in year two as actual values for this method. (1 mark process + 1 mark correct answer).x 7 days = 14