In Excel, create a forecast for periods 6-13 using the following method:
Exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53);
With exponential smoothing, the forecast for period 13 will be:
Period | Data |
1 | 45 |
2 | 52 |
3 | 48 |
4 | 59 |
5 | 55 |
6 | 55 |
7 | 64 |
8 | 58 |
9 | 73 |
10 | 66 |
11 | 69 |
12 | 74 |
Thank you :)
for exponential smoothing:
next period forecast =previous period actual*alpha+(1-alpha)*previous period forecast
Period | Data | forecast |
1 | 45 | |
2 | 52 | |
3 | 48 | |
4 | 59 | |
5 | 55 | 53.0000 |
6 | 55 | 53.4600 |
7 | 64 | 53.8142 |
8 | 58 | 56.1569 |
9 | 73 | 56.5808 |
10 | 66 | 60.3572 |
11 | 69 | 61.6551 |
12 | 74 | 63.3444 |
13 | 65.7952 |
from above forecast for period 13 will be =65.7952
In Excel, create a forecast for periods 6-13 using the following method: Exponential smoothing (alpha =...
In Excel, create a forecast for periods 6-13 using the following method: Quadratic regression with the equation based on all 12 periods. With quadratic regression, the forecast for period 13 will be: Period Data 1 45 2 52 3 48 4 59 5 55 6 55 7 64 8 58 9 73 10 66 11 69 12 74 Thank you :)
In Excel, create a forecast for periods 6-13 using the following method: 5 period simple moving average. Using a 5 period simple moving average, the forecast for period 13 will be: Period Data 1 45 2 52 3 48 4 59 5 55 6 55 7 64 8 58 9 73 10 66 11 69 12 74
The actual values for 12 periods (shown in order) are: Period Data 1 45 2 52 3 48 4 59 5 55 6 55 7 64 8 58 9 73 10 66 11 69 12 74 In Excel, create forecasts for periods 6-13 using each of the following methods: -------- -5 period simple moving average; Using a 5 period simple moving average, the forecast for period 13 will be: 68 -4 period weighted moving average (0.63, 0.26, 0.08, 0.03); Using...
The actual values for 12 periods (shown in order) are: (1) 45 (2) 52 (3) 48 (4) 59 (5) 55 (6) 55 (7) 64 (8) 58 (9) 73 (10) 66 (11) 69 (12) 74 Using a 5 period simple moving average, the forecast for period 13 will be: QUESTION 2 Using the 4 period weighted moving average, the forecast for period 13 will be: QUESTION 3 With exponential smoothing, the forecast for period 13 will be: QUESTION 4 With linear regression, the forecast for period 13 will be: QUESTION...
1. Forecast demand for Year 4. a. Explain what technique you utilized to forecast your demand. b. Explain why you chose this technique over others. Year 3 Year 1 Year 2 Actual Actual Actual Forecast Forecast Forecast Demand Demand Demand Week 1 52 57 63 55 66 77 Week 2 49 58 68 69 75 65 Week 3 47 50 58 65 80 74 Week 4 60 53 58 55 78 67 57 Week 5 49 57 64 76 77...
estimate the average age at which multiple sclerosis patients were diagnosed with the condition for the first time in a given city. How big should the sample be? Define your procedures for this estimate (if necessary, set your own values of unknown parameters, based on statistical theory). In Table 1 you will find all ages of this patient population. 54 58 56 48 62 59 55 56 60 52 53 61 56 56 53 37 71 62 39 61 54...
The ollowing 12 periods of actual demand are to be used to produce a double exponential smoothin forecast or period 13. Use a smoothing constant α e 10 se 70 as the inna al to orecast values ll Click the icon to view the demand for the previous 12 periods Complete the table below for a double exponential smoothing forecast (enter your responses rounded to one decimal place). More Info Period at FD(DES) 64 Period 35 70 41 64 35...
Problem #1: Consider the below matrix A, which you can copy and paste directly into Matlab. The matrix contains 3 columns. The first column consists of Test #1 marks, the second column is Test # 2 marks, and the third column is final exam marks for a large linear algebra course. Each row represents a particular student.A = [36 45 75 81 59 73 77 73 73 65 72 78 65 55 83 73 57 78 84 31 60 83...
The actual values for 12 periods (shown in order) are: (1) 45 (2) 52 (3) 48 (4) 59 (5) 55 (6) 54 (7) 64 (8) 59 (9) 72 (10) 66 (11) 67 (12) 78 Using a 5 period simple moving average, the forecast for period 13 will be:
Use Solver to determine the alpha that minimizes the MAD for the exponential smoothing forecast for the data that appear in this table. Use the actual demand of period 1 as the forecast for period 2 and then use the forecasts for periods 2 through 9 to calculate MAD. Period Demand 1 272 2 278 3 269 4 280 5 267 6 258 7 278 8 298 9 286 10 290 0.43 0.36 0.54 0.62