2nd pirctures is the question before n data used

e. Seasonal relatives are 0.9 for period 1, 1.2 for period 2, 0.95 for period 3 and 1.07 for period 4. Use this season relatives to deseasonalize demand for period 1-8. (20 points) Period Sales Seasonal Deseasonalized relatives Demand 1 40 0.9 2 55 1.2 3 48 0.95 4 58 1.07 5 48 6 68 8 7 54 I 70 f. Suppose the deseasonlized sales follows linear trend equation of, estimated demand for period 9. (20 points) W UTF-8'HW1 Forecasting and pro X 6 Mail - Hassan, Hassan - Outlook X + chrome-extension://bpmcpldpdmajfigpchkicefoigmkfalc/views/app.html Error corrected(1) (1).docx 11 - BIU A.A. EEEEEE MGMT 360 Homework 1 Forecasting and productivity - Due date 10:30 am 09/18/2020 A local pizza restaurant sells a variety of pizzas. They want to forecast their sales quantity (demand) of the best-selling Tuscan Roma pizza in next two periods, so that they can make plan about their supplies and staffs. The sales of Tuscan Roma pizza in period 1-8 is as follow in 100s). Period Sales 1 40 2 55 3 48 4 58 5 48 6 68 7 54 8 70 Please use following methods to forecast sales of Tuscan Roma pizza in period 9. Round to two decimal places. a. A three-period moving average. (15 point = (68+54+70)/3 = 192/3= 64 for period 9 (Sales for period 6+7+8 divided by 3 ) I b. A weighted average using 0.5 for most recent period, 0.3 for next most recent period and 0.2 for the next. (15 points) (0.2*68) + (0.3*54) + (0.5*70)= 13.6+16.2+35-64.8 for period 9 c. Exponential smoothing with a smoothing constant equal to 0.2, assuming forecast for period 7 is 50. (20 points) Exponential smoothing forecast for period n-(smoothing constant sales for period (n-1))+((1- coin.co.id e. Seasonal relatives are 0.9 for period 1, 1.2 for period 2, 0.95 for period 3 and 1.07 for period 4. Use this season relatives to deseasonalize demand for period 1-8. (20 points) Period Sales Seasonal Deseasonalized relatives Demand 1 40 0.9 2 55 1.2 3 48 0.95 4 58 1.07 5 48 6 68 8 7 54 I 70 f. Suppose the deseasonlized sales follows linear trend equation of, estimated demand for period 9. (20 points) W UTF-8'HW1 Forecasting and pro X 6 Mail - Hassan, Hassan - Outlook X + chrome-extension://bpmcpldpdmajfigpchkicefoigmkfalc/views/app.html Error corrected(1) (1).docx 11 - BIU A.A. EEEEEE MGMT 360 Homework 1 Forecasting and productivity - Due date 10:30 am 09/18/2020 A local pizza restaurant sells a variety of pizzas. They want to forecast their sales quantity (demand) of the best-selling Tuscan Roma pizza in next two periods, so that they can make plan about their supplies and staffs. The sales of Tuscan Roma pizza in period 1-8 is as follow in 100s). Period Sales 1 40 2 55 3 48 4 58 5 48 6 68 7 54 8 70 Please use following methods to forecast sales of Tuscan Roma pizza in period 9. Round to two decimal places. a. A three-period moving average. (15 point = (68+54+70)/3 = 192/3= 64 for period 9 (Sales for period 6+7+8 divided by 3 ) I b. A weighted average using 0.5 for most recent period, 0.3 for next most recent period and 0.2 for the next. (15 points) (0.2*68) + (0.3*54) + (0.5*70)= 13.6+16.2+35-64.8 for period 9 c. Exponential smoothing with a smoothing constant equal to 0.2, assuming forecast for period 7 is 50. (20 points) Exponential smoothing forecast for period n-(smoothing constant sales for period (n-1))+((1- coin.co.id