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Consider the following time series data:
Week
1
2
3
4
5
6
Value
18
13
16
11
17
14
a. Construct a time series plot. What type of pattern exists in the data?
b. Develop a three-week moving average for this time series. Compute MSE and a fore- cast for week 7.
c. Use a = 0.2 to compute the exponential smoothing values for the time series. Com- pute MSE and a forecast for week 7.
d. Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain.
e. Use Excel Solver or LINGO to find the value of a that minimizes MSE. (Hint: Mini- mize the sum of squared error.)
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at your own current or prior place of work or for some business that is regularly in the news complete the
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The return on assets effect (ROA) quantifies and measures:
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