Ans: 688.05
The Period 5 forecast by using weighted moving average with given weights is 688.05
Take Test: Ch 03-A4 QUESTION 3 Given is a historical time series for job services demand...
Given is a historical time series for job services demand. PeriodDemand Forecast 289 208 325 F1 F2 F3 F4 323 302 299 F6 F7 F8 F9 F10 F11 F12 If you were not able to generate a forecast for particular period, you should enter N. Also, F3 means Period 3 Forecast. Use Weighted moving average with weights of 0.09, 0.11, 0.16, 0.25, 0.39 to answer Questions 1) to 3). 1) The F5- 2) The F12 3) If you were told...
Given is a historical time series for job services demand. PeriodDemand Forecast 313 89 F1 F2 F3 F4 F5 F6 219 323 302 299 F8 F9 F10 F11 F12 If you were not able to generate a forecast for particular period, you should enter N. Also, F3 means Period 3 Forecast. Use Weighted moving average with weights of 0.09, 0.11, 0.16, 0.25, 0.39 to answer Questions 1) to 3) 1)The F9- 2) The F10 3) If you were told to...
Given is a historical time series for iob services demand in the prior 6 months. Month Demand 698 815 716 613 657 865 4 The Period 4 forecast by using exponential smoothing with 0.25 alpha (in 2 decimal places)
Given is a historical time series for job services demand in the prior 6 months. Month Demand 1 817 2 736 3 816 4 718 5 805 6 785 Use the table below to answer all questions: Month Demand Forecast 1 817 F1 2 736 F2 3 816 F3 4 718 F4 5 805 F5 6 785 F6 7 F7 If the demands forecast is Not Possible (NP) to generate for a particular month, then you must type in NP...
3. The following time series represent the annual demand for 50 lb bags of fertilizer for a garden supply company between 1991 and 2002. Year | Bags 1991 | 4000 1992 | 6000 1993 | 4000 1994 | 5000 1995 | 10,000 1996 | 8000 1997 | 7000 1998 | 9000 1999 | 12,000 2000 | 14,000 2001 | 15,000 2002 | 14,000 a. Use a 2-period moving average to forecast the demand for the bags of fertilizers in 2003....
QUESTION 5 A carnival runs for 10 days a year. Attendance for each day in each of the past three years has been captured and is provided in the table below. sing the multiplicative seasonal method, determine the average seasonal index for Day 2. Year 1 Year 2 Year 3 Dayl 13,578 14,471 15,421 Day2 21,659 21,630 21,124 Day3 20,051 20,558 20,367 Day4 12,035 12,820 13,315 Day5 12,264 12,924 12,077 Day6 13,139 13,875 13,818 Day7 18,754 18,801 19,491 Day8 21,670...