a)
week | sales | forecast | error | error^2 |
1 | 17 | |||
2 | 21 | |||
3 | 19 | |||
4 | 23 | 19.33 | 3.67 | 13.44 |
5 | 18 | 21.33 | -3.33 | 11.11 |
6 | 16 | 19.83 | -3.83 | 14.69 |
7 | 20 | 17.83 | 2.17 | 4.69 |
8 | 18 | 18.33 | -0.33 | 0.11 |
9 | 22 | 18.33 | 3.67 | 13.44 |
10 | 20 | 20.33 | -0.33 | 0.11 |
11 | 15 | 20.33 | -5.33 | 28.44 |
12 | 22 | 17.83 | 4.17 | 17.36 |
total | 103.42 | |||
average | 11.49 |
b)
MSE =11.49
c)
No; as its MSE is higher than MSE of unweighted three week moving average forecast
observation, and 1/6 for the third most recent observation, compute a three-week weighted moving average for...
Please answer every fill in the blank shown, I will make sure to up vote, thank you! Consider the following gasoline sales time series data. Click on the datafile logo to reference the data Week Sales (1000s of gallons) 18 18 18 16 19 18 23 21 15 23 10 12 a. Using a weight of-for the most recent observation for the second most recent observation, and time series (to 2 decimals). Enter negative values as negative numbers. third the...
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Check My Work (3 remaining Consider the following gasoline sales time series data. Click on the datafile logo to reference the data Week Sales (1000s of gallons) 20 18 17 19 21 12 a. Using a weight of for the most recent observation, for the second most recent observation, and third the most recent abaervation, compute a threa-week weightad moving avarage fos the time series (to 2 decimals). Enter nagative values as negative numbers Weighted Moving Average Forecast (Error Time-Series...
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I just need help with those marked with a red X, and the last question thank you! Problem 15-08 (Algorithmic) Refer again to the gasoline sales time series data in the following table. Week Sales (1000s of gallons) a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermediate...
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