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Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 20 12 18 21 16 (a) Choose the
Consider the following time series data:
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- Select your answer -Graph (i)Graph (ii)Graph (iii)Graph (iv)Item 1 | ||||||||||||||||||||||||||
What type of pattern exists in the data? | ||||||||||||||||||||||||||
- Select your answer -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2 | ||||||||||||||||||||||||||
(b) | Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. | |||||||||||||||||||||||||
If required, round your answers to two decimal places. Do not round intermediate calculation. | ||||||||||||||||||||||||||
MSE: | ||||||||||||||||||||||||||
The forecast for month 8: | ||||||||||||||||||||||||||
(c) | Use= 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. | |||||||||||||||||||||||||
If required, round your answers to two decimal places. Do not round intermediate calculation. | ||||||||||||||||||||||||||
MSE: | ||||||||||||||||||||||||||
The forecast for month 8: | ||||||||||||||||||||||||||
(d) | Compare the three-month moving average forecast with the exponential smoothing forecast using= 0.2. Which appears to provide the better forecast based on MSE? | |||||||||||||||||||||||||
- Select your answer -3-month moving averageexponential smoothingItem 7 | ||||||||||||||||||||||||||
(e) | Use trial and error to find a value of the exponential smoothing coefficientthat results in the smallest MSE. | |||||||||||||||||||||||||
If required, round your answer to two decimal places. | ||||||||||||||||||||||||||
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