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 |
Using a 5 period simple moving average, the forecast for period 13 will be =sum of last 5 periods/5=(58+73+66+69+74)/5=68
In Excel, create a forecast for periods 6-13 using the following method: 5 period simple moving...
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: 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 :)
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...
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:
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...
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...
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...
Calculate a 3-months simple moving average, for each possible month of years 2014/2015/2016. Calculate the MAD, MSE and MAPE for this method. In addition to the formulas in the computer, show one manual calculation of a forecast of this method, for any month you choose (10 marks)JanFebMarAprMayJunJulAugSepOctNovDecYear474549485250515455566063201450515254565756595555658120155456585761626365676769752016
Please show how you did this in excel. :13-19 Every home football game for the past eight years at Eastern State University has been sold out. The revenues from ticket sales are significant, but the sale of food, beverages, and souvenirs has contrib- uted greatly to the overall profitability of the football program. One particular souvenir is the football pro- gram for each game. The number of programs sold at each game is described by the following probabil- ity distribution:...