Question

In: Statistics and Probability

Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6...

Consider the following time series data.

Quarter Year 1 Year 2 Year 3
1 4 6 7
2 2 3 6
3 3 5 6
4 5 7 8

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 (___)

Consider the following time series data.

Quarter Year 1 Year 2 Year 3
1 5 5 6
2 2 4 5
3 4 6 6
4 7 5 8

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 5
2 2
(___)
3 4 (___)
(___)
4 7 (___)
(___)
2 1 5 (___)
(___)
2 4 (___)
(___)
3 6 (___)
(___)
4 5 (___)
(___)
3 1 6 (___)
(___)
2 5 (___)
(___)
3 6
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 (___)

Solutions

Expert Solution

Answer :

By using Excel

Path :Data < Data analysis

a) we have to obtain seasonal index and adjusted seasonal index

For seasonal index ,

year
1 2 3
1 4 6 7

Quarter

2 2 3 6
3 3 5 6
4 5 7 8

total

14 21 27

average

3.5 5.25 6.75

Seasonal index = average ( actual value / average of of year)

eg.

1. SI= 4 / 3.5 = 1.107

year
1 2 3 Seasonal index
1 1.142857 1.142857 1.037037 1.107

Quarter

2 0.571429 0.571429 0.888889 0.677
3 0.857143 0.952381 0.888889 0.899
4 1.428571 1.333333 1.185185 1.315
total= 4

For adjusted seasonal index,

Adjusted seasonal index = Actual value / seasonal index

year
1 2 3
1 3.611 5.417 6.320

Quarter

2 2.953 4.429 8.859
3 3.335 5.558 6.670
4 3.800 5.320 6.080

b) we obtain four year moving average and centering moving average,

  

Quarter year Four year moving average centered moving average
1 5
2 2
3 4
4 7 4.5
1 5 4.5 4.5
2 4 5 4.75
3 6 5.5 5.25
4 5 5 5.25
1 6 5.25 5.125
2 5 5.5 5.375
3 6 5.5 5.5
4 8 6.25 5.875

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