[See Steps] The following data have a seasonal component. Complete the missing values. YOU WILL NEED TO USE THE REGRESSION RESULTS BELOW TO HELP COMPLETE


Question: The following data have a seasonal component. Complete the missing values. YOU WILL NEED TO USE THE REGRESSION RESULTS BELOW TO HELP COMPLETE THE TABLE ABOVE

Trend Month Original
Series
12-
month
MA
Ratio of
Original
To MA
Unadjusted
Seasonal
Index
Adjusted
Seasonal
Index
Seasonal
Index
Seasonally
Adjusted
Series
Trend
Projection
Forecast
1 1 8427.5 94.9 8878.3 6935.9 6583.7
2 2 6375.6 80.9 7884.5 7150.1 5781.7
3 3 7590.2 84.1 9020.8 7364.3 6196.4
4 4 7687.0 94.9 8099.1 7578.5 7192.9
5 5 7758.0 97.4 7964.3 7792.7 7590.9
6 6 8398.0 8164.0 8007.0 8236.4
7 7 8975.0 107.2 8375.5 8221.2 8809.6
8 8 10043.0 111.7 8994.2 8435.4 9419.0
9 9 9928.0 111.4 8908.2 8649.6
10 10 10808.0 9521.7 8863.8 10061.2
11 11 8879.0 108.7 8171.9 9078.0 9863.5
12 12 7409.0 8523.2 86.9 102.1 92.5 92.5 8013.2 8591.6
13 1 8415.4 8522.2 98.7 104.8 94.9 94.9 8865.5 9506.4 9023.7
14 2 8020.8 8659.3 92.6 89.3 80.9 80.9 9919.1 9720.6 7860.3
15 3 7259.0 84.1 92.9 84.1 84.1 9934.9 8359.3
16 4 9098.0 8749.3 104.0 104.8 94.9 94.9 9585.7 10149.1 9632.7
17 5 9847.0 8923.4 110.4 107.6 97.4 97.4 10108.9 10363.3
18 6 10727.0 9117.4 113.6 102.9 102.9 10428.1 10577.5 10880.6
19 7 11213.0 9303.9 120.5 118.3 107.2 107.2 10464.0 10791.7 11564.1
20 8 12671.0 9522.9 133.1 111.7 11347.7 11005.9 12289.3
21 9 12292.0 9719.9 126.5 123.1 111.4 111.4 11029.4 11220.1 12504.5
22 10 11455.0 9773.9 117.2 125.4 113.5 113.5 10091.7 11434.3 12979.0
23 11 12570.0 10081.4 124.7 120.0 108.7 108.7 11648.5 12656.5
24 12 11625.0 10432.8 111.4 92.5 12573.1 11862.8 10968.3
25 1 11403.5 10681.8 106.8 94.9 12013.5 12077.0 11463.8
26 2 9629.6 10815.8 89.0 80.9 11908.7 12291.2 9938.9
27 3 10110.0 11053.4 91.5 84.1 12015.6 12505.4 10522.2
28 4 11521.9 11255.4 102.4 94.9 12139.6 12719.6 12072.4
29 5 11884.7 11425.2 104.0 97.4 12200.8 12933.8 12598.7
30 6 12127.3 11541.9 105.1 102.9 11789.4 13148.0 13524.8
31 7 13438.6 11727.4 114.6 107.2 12541.0 13362.2 14318.6
32 8 13764.9 11818.5 116.5 111.7 12327.4 13576.4 15159.6
33 9 14747.5 12023.2 122.7 111.4 13232.7 13790.7 15369.3
34 10 16458.3 12440.1 132.3 113.5 14499.5 14004.9 15896.8
35 11 14156.9 12572.4 112.6 108.7 13029.4 14219.1 15449.5
36 12 13192.8 12703.0 103.9 92.5 14268.7 14433.3 13345.0
37 1 14089.0 12926.8 109.0 94.9 14842.6 14647.5 13903.8
38 2 11267.1 13063.3 86.3 80.9 13933.7 14861.7 12017.5
39 3 13800.1 13370.8 103.2 84.1 16401.2 15075.9 12685.0
40 4 14744.8 13639.3 108.1 94.9 15535.3 15290.1 14512.1
41 5 15067.1 13904.5 108.4 97.4 15467.8 15504.3 15102.7
42 6 16887.8 14301.2 118.1 102.9 16417.3 15718.6 16169.0
43 7 17562.1 14644.9 119.9 107.2 16389.1 15932.8 17073.1
44 8 18067.9 15003.5 120.4 111.7 16181.0 16147.0 18029.9
45 9 18386.9 15306.7 120.1 111.4 16498.3 16361.2 18234.1
46 10 19718.2 15578.4 126.6 113.5 17371.5 16575.4 18814.6
47 11 19679.0 16038.6 122.7 108.7 18111.8 16789.6 18242.4
48 12 17412.0 16390.2 106.2 92.5 18832.0 17003.8 15721.7
  1. Note that the Adjusted Seasonal Index for October (the 10th month) is 113.5. What does this number mean?
    To estimate the Trend, a regression of the Seasonally Adjusted Series on a trend yielded the following results.
  2. What is your forecast for the 59th observations?
  3. What is your forecast of the 80th observation?

Price: $2.99
Solution: The downloadable solution consists of 6 pages
Deliverable: Word Document

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