In: Statistics and Probability
Consider the following time series data.
Quarter | Year 1 | Year 2 | Year 3 |
1 | 3 | 6 | 7 |
2 | 4 | 1 | 8 |
3 | 1 | 7 | 5 |
4 | 5 | 7 | 8 |
a. Which of the following is a time series plot?
- Select your answer -time series plot #1time series plot #2time series plot #3Item 1
What type of pattern exists in the data?
- Select your answer -upward linear trendnonlinear trend and a seasonal patternlinear trend and a seasonal patternslight curvaturedownward linear trendItem 2
b. Show the four-quarter and centered moving average values for this time series (to 3 decimals if necessary).
Year | Quarter | Time Series Value | Four-Quarter Moving Average | Centered Moving Average |
1 | 1 | 3 | ||
2 | 4 | |||
_________ | ||||
3 | 1 | _____ | ||
__________ | ||||
4 | 5 | _________ | ||
__________ | ||||
2 | 1 | 6 | ______ | |
________ | ||||
2 | 1 | _______ | ||
______ | ||||
3 | 7 | _______ | ||
________ | ||||
4 | 7 | ________ | ||
________ | ||||
3 | 1 | 7 | __________ | |
________ | ||||
2 | 8 | ________ | ||
________ | ||||
3 | 5 | |||
4 | 8 |
c. Compute seasonal indexes and adjusted seasonal indexes for the four quarters (to 3 decimals).
Quarter | Seasonal Index |
Adjusted Seasonal Index |
1 | ||
2 | ||
3 | ||
4 | ||
Total |
a) The time seres plot is given by,
The type of pattern exists in the data is seasonal pattern upward linear trend.
Year | Quater | Time series | 4 point moving total | 4 point oving average | Centered moving average |
1 | 1 | 3 | |||
2 | 4 | ||||
13 | 3.25 | ||||
3 | 1 | 3.625 | |||
16 | 4 | ||||
4 | 5 | 3.625 | |||
13 | 3.25 | ||||
2 | 1 | 6 | 4 | ||
19 | 4.75 | ||||
2 | 1 | 5 | |||
21 | 5.25 | ||||
3 | 7 | 5.375 | |||
22 | 5.5 | ||||
4 | 7 | 6.375 | |||
29 | 7.25 | ||||
3 | 1 | 7 | 7 | ||
27 | 6.75 | ||||
2 | 8 | 6.875 | |||
28 | 7 | ||||
3 | 5 | ||||
4 | 8 |
c) Seasonal indexes and adjusted seasonal indexes for the four quarters.
Year | Quater | Time series | centered moving average | Seasonal Irregular component |
1 | 1 | 3 | ||
2 | 4 | |||
3 | 1 | 3.625 | 0.276 | |
4 | 5 | 3.625 | 1.379 | |
2 | 1 | 6 | 4 | 1.500 |
2 | 1 | 5 | 0.200 | |
3 | 7 | 5.375 | 1.302 | |
4 | 7 | 6.375 | 1.098 | |
3 | 1 | 7 | 7 | 1.000 |
2 | 8 | 6.875 | 1.164 | |
3 | 5 | |||
4 | 8 |
Seasonal Index :
Total: 1.250 + 0.682+ 0.789+ 1.238 = 3.959
Adjusted Seasonal Index :
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