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Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationTue, 19 Dec 2017 13:55:11 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/19/t1513688172mu82k9moeiqrszn.htm/, Retrieved Thu, 31 Oct 2024 23:20:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310329, Retrieved Thu, 31 Oct 2024 23:20:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Classical Decompo...] [2017-12-19 12:55:11] [19616f283b6fb6898d2f08fc009ad795] [Current]
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Dataseries X:
63,2
68,6
77,7
68,1
75,1
73,3
60,5
65,9
77,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
67,7
73,2
72,2
79,3
77,5
75,6
77,4
69,2
67,1
77,9
82,7
75,7
70,1
76,4
74,3
80,5
78
73,5
78,8
71,2
66,2
82,7
83,8
75
80,4
74,6
77,7
89,8
82,4
77
89,6
75,7
75,1
89,9
88,8
86,5
90
84
82,7
91,7
87,5
82
92,2
73,1
75,6
91,6
87,5
90,1
91,3
87,6
88,4
100,7
85,3
92
96,8
77,9
80,9
95,3
99,3
96,1
92,5
93,7
92,1
103,6
92,5
95,7
103,4
89
89,1
98,7
109,4
101,1
95,4
101,4
102,1
103,6
106
98,4
106,6
95,8
87,2
108,5
107
92
94,9
84,4
85
94
84,5
88,2
92,1
81,1
81,2
96,1
95,3
92,1
91,7
90,3
96,1
108,7
95,9
95,1
109,4
91,2
91,4
107,4
105,6
105,3
103,7
99,5
103,2
123,1
102,2
110
106,2
91,3
99,3
111,8
104,4
102,4
101
100,6
104,5
117,4
97,4
99,5
106,4
95,2
94
104,1
105,8
101,1
93,5
97,9
96,8
108,4
103,5
101,3
107,4
100,7
91,1
105
112,8
105,6
101
101,9
103,5
109,5
105
102,9
108,5
96,9
88,4
112,4
111,3
101,6
101,2
101,8
98,8
114,4
104,5
97,6
109,1
94,5
90,4
111,8
110,5
106,8
101,8
103,7
107,4
117,5
109,6
102,8
115,5
97,8
100,2
112,9
108,7
109
113,9
106,9
109,6
124,5
104,2
110,8
118,7
102,1
105,1




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310329&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=310329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310329&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
163.2NANA-2.08662NA
268.6NANA-1.31407NA
377.7NANA8.30507NA
468.1NANA-0.0433632NA
575.1NANA-1.52019NA
673.3NANA4.98945NA
760.561.877669.6208-7.74324-1.37759
865.960.761269.7708-9.009665.13883
977.774.250669.31674.933973.44937
1067.773.425968.88334.54254-5.72588
1167.768.660268.55830.101857-0.960191
1267.766.860968.0167-1.155740.839074
1367.765.996768.0833-2.086621.70329
1467.767.144368.4583-1.314070.555741
1567.776.421768.11678.30507-8.72174
1667.767.656667.7-0.04336320.0433632
1767.766.179867.7-1.520191.52019
1867.772.689467.74.98945-4.98945
1967.760.185967.9292-7.743247.51407
2067.759.336268.3458-9.009668.36383
2167.773.950669.01674.93397-6.25063
2267.774.450969.90834.54254-6.75088
2367.770.747770.64580.101857-3.04769
2467.770.223471.3792-1.15574-2.52343
2573.269.759271.8458-2.086623.44079
2672.270.569371.8833-1.314071.63074
2779.380.588472.28338.30507-1.28841
2877.573.2973.3333-0.04336324.21003
2975.672.771574.2917-1.520192.82852
3077.479.714474.7254.98945-2.31445
3169.267.215174.9583-7.743241.98491
3267.166.169575.1792-9.009660.930496
3377.980.250675.31674.93397-2.35063
3482.779.9375.38754.542542.76996
3575.775.422775.32080.1018570.277309
3670.174.135975.2917-1.15574-4.03593
3776.473.346775.4333-2.086623.05329
3874.374.165175.4792-1.314070.134907
3980.583.946775.64178.30507-3.44674
407875.844175.8875-0.04336322.15586
4173.574.38475.9042-1.52019-0.883981
4278.881.293676.30424.98945-2.49362
4371.268.915176.6583-7.743242.28491
4466.267.715376.725-9.00966-1.51534
4582.782.188177.25424.933970.511868
4683.882.367577.8254.542541.43246
477578.25678.15420.101857-3.25602
4880.477.594378.75-1.155742.80574
4974.677.300979.3875-2.08662-2.70088
5077.778.631879.9458-1.31407-0.931759
5189.888.921780.61678.305070.878259
5282.481.081681.125-0.04336321.31836
537780.292381.8125-1.52019-3.29231
5489.687.681182.69174.989451.91888
5575.775.740183.4833-7.74324-0.0400927
5675.175.073784.0833-9.009660.0263289
5789.989.304884.37084.933970.595201
5888.889.20584.66254.54254-0.405044
5986.585.185285.08330.1018571.31481
609084.244385.4-1.155745.75574
618483.313485.4-2.086620.686623
6282.783.998485.3125-1.31407-1.29843
6391.793.709285.40428.30507-2.00924
6487.585.377585.4208-0.04336322.12253
658283.996585.5167-1.52019-1.99648
6692.290.710385.72084.989451.48972
6773.178.181885.925-7.74324-5.08176
6875.677.302886.3125-9.00966-1.70284
6991.691.85986.9254.93397-0.258965
7087.591.750987.20834.54254-4.25088
7190.187.635287.53330.1018572.46481
7291.386.985988.1417-1.155744.31407
7387.686.446788.5333-2.086621.15329
7488.487.640188.9542-1.314070.759907
75100.797.634289.32928.305073.06576
7685.389.931689.975-0.0433632-4.63164
779289.196590.7167-1.520192.80352
7896.896.006191.01674.989450.793884
7977.983.577691.3208-7.74324-5.67759
8080.982.719591.7292-9.00966-1.8195
8195.396.938192.00424.93397-1.63813
8299.396.967592.4254.542542.33246
8396.192.98192.87920.1018573.11898
8492.592.152693.3083-1.155740.347407
8593.791.959294.0458-2.086621.74079
8692.193.535994.85-1.31407-1.43593
87103.6103.63895.33338.30507-0.0384076
8892.595.852595.8958-0.0433632-3.35247
8995.795.004896.525-1.520190.695186
90103.4101.84496.85424.989451.55638
918989.552697.2958-7.74324-0.552593
9289.189.023798.0333-9.009660.0763289
9398.7103.38498.454.93397-4.68397
94109.4103.55599.01254.542545.84496
95101.199.789499.68750.1018571.31064
9695.498.777699.9333-1.15574-3.37759
97101.498.2634100.35-2.086623.13662
98102.199.2401100.554-1.314072.85991
99103.6109.188100.8838.30507-5.58841
100106101.148101.192-0.04336324.8517
10198.499.1923100.712-1.52019-0.792314
102106.6105.302100.3124.989451.29805
10395.891.840199.5833-7.743243.95991
10487.289.152898.1625-9.00966-1.95284
105108.5101.98497.054.933976.51603
106107100.29795.75424.542546.70329
1079294.535294.43330.101857-2.53519
10894.992.248493.4042-1.155742.65157
10984.490.100992.1875-2.08662-5.70088
1108590.010991.325-1.31407-5.01093
1119498.863490.55838.30507-4.86341
11284.589.510889.5542-0.0433632-5.0108
11388.287.550689.0708-1.520190.649353
11492.193.931188.94174.98945-1.83112
11581.181.310989.0542-7.74324-0.210926
11681.280.752889.7625-9.009660.447162
11796.195.771590.83754.933970.328535
11895.396.467591.9254.54254-1.16754
11992.192.789492.68750.101857-0.689357
12091.792.540193.6958-1.15574-0.840093
12190.392.750994.8375-2.08662-2.45088
12296.194.369395.6833-1.314071.73074
123108.7104.88496.57928.305073.81576
12495.997.435897.4792-0.0433632-1.5358
12595.196.938198.4583-1.52019-1.83815
126109.4104.49899.50834.989454.90222
12791.292.6484100.392-7.74324-1.44843
12891.492.0612101.071-9.00966-0.661171
129107.4106.901101.9674.933970.499368
130105.6107.372102.8294.54254-1.77171
131105.3103.814103.7120.1018571.48564
132103.7103.044104.2-1.155740.655741
13399.5101.984104.071-2.08662-2.48421
134103.2103.09104.404-1.314070.109907
135123.1113.222104.9178.305079.87826
136102.2105.007105.05-0.0433632-2.80664
137110103.359104.879-1.520196.64102
138106.2109.635104.6464.98945-3.43528
13991.396.8359104.579-7.74324-5.53593
14099.395.6695104.679-9.009663.6305
141111.8109.43104.4964.933972.3702
142104.4108.601104.0584.54254-4.20088
143102.4103.523103.4210.101857-1.12269
144101101.836102.992-1.15574-0.835926
145100.6101.076103.162-2.08662-0.475877
146104.5101.79103.104-1.314072.70991
147117.4110.868102.5628.305076.53243
14897.4102.257102.3-0.0433632-4.85664
14999.5100.784102.304-1.52019-1.28398
150106.4106.927101.9374.98945-0.526949
15195.293.7693101.512-7.743241.43074
1529492.0695101.079-9.009661.9305
153104.1105.317100.3834.93397-1.2173
154105.8104.805100.2624.542540.994956
155101.1100.694100.5920.1018570.406476
15693.599.5526100.708-1.15574-6.05259
15797.998.8925100.979-2.08662-0.992544
15896.899.7734101.087-1.31407-2.97343
159108.4109.309101.0048.30507-0.909241
160103.5101.29101.333-0.04336322.21003
161101.3100.292101.812-1.520191.00769
162107.4107.302102.3124.989450.0980507
163100.795.0484102.792-7.743245.65157
16491.194.2278103.238-9.00966-3.12784
165105108.496103.5624.93397-3.49647
166112.8108.213103.6714.542544.58662
167105.6103.902103.80.1018571.69814
168101102.757103.912-1.15574-1.75676
169101.9101.713103.8-2.086620.186623
170103.5102.215103.529-1.314071.28491
171109.5112.03103.7258.30507-2.53007
172105103.927103.971-0.04336321.07253
173102.9102.221103.742-1.520190.678519
174108.5108.573103.5834.98945-0.0727826
17596.995.8443103.588-7.743241.05574
17688.494.3778103.388-9.00966-5.97784
177112.4108.33103.3964.933974.0702
178111.3108.122103.5794.542543.17829
179101.6103.439103.3380.101857-1.83936
180101.2101.986103.142-1.15574-0.785926
181101.8100.98103.067-2.086620.819956
18298.8101.736103.05-1.31407-2.93593
183114.4111.413103.1088.305072.98659
184104.5103.007103.05-0.04336321.49336
18597.6101.713103.233-1.52019-4.11315
186109.1108.464103.4754.989450.635551
18794.595.8359103.579-7.74324-1.33593
18890.495.007104.017-9.00966-4.607
189111.8109.438104.5044.933972.36187
190110.5109.388104.8464.542541.11162
191106.8105.377105.2750.1018571.42314
192101.8104.603105.758-1.15574-2.80259
193103.7104.076106.162-2.08662-0.375877
194107.4105.394106.708-1.314072.00574
195117.5115.468107.1628.305072.03243
196109.6107.09107.133-0.04336322.51003
197102.8105.63107.15-1.52019-2.82981
198115.5112.735107.7464.989452.76472
19997.8100.64108.383-7.74324-2.84009
200100.299.5987108.608-9.009660.601329
201112.9113.926108.9924.93397-1.02563
202108.7113.601109.0584.54254-4.90088
203109109.269109.1670.101857-0.268524
204113.9108.478109.633-1.155745.42241
205106.9107.859109.946-2.08662-0.95921
206109.6109.015110.329-1.314070.584907
207124.5NANA8.30507NA
208104.2NANA-0.0433632NA
209110.8NANA-1.52019NA
210118.7NANA4.98945NA
211102.1NANA-7.74324NA
212105.1NANA-9.00966NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 63.2 & NA & NA & -2.08662 & NA \tabularnewline
2 & 68.6 & NA & NA & -1.31407 & NA \tabularnewline
3 & 77.7 & NA & NA & 8.30507 & NA \tabularnewline
4 & 68.1 & NA & NA & -0.0433632 & NA \tabularnewline
5 & 75.1 & NA & NA & -1.52019 & NA \tabularnewline
6 & 73.3 & NA & NA & 4.98945 & NA \tabularnewline
7 & 60.5 & 61.8776 & 69.6208 & -7.74324 & -1.37759 \tabularnewline
8 & 65.9 & 60.7612 & 69.7708 & -9.00966 & 5.13883 \tabularnewline
9 & 77.7 & 74.2506 & 69.3167 & 4.93397 & 3.44937 \tabularnewline
10 & 67.7 & 73.4259 & 68.8833 & 4.54254 & -5.72588 \tabularnewline
11 & 67.7 & 68.6602 & 68.5583 & 0.101857 & -0.960191 \tabularnewline
12 & 67.7 & 66.8609 & 68.0167 & -1.15574 & 0.839074 \tabularnewline
13 & 67.7 & 65.9967 & 68.0833 & -2.08662 & 1.70329 \tabularnewline
14 & 67.7 & 67.1443 & 68.4583 & -1.31407 & 0.555741 \tabularnewline
15 & 67.7 & 76.4217 & 68.1167 & 8.30507 & -8.72174 \tabularnewline
16 & 67.7 & 67.6566 & 67.7 & -0.0433632 & 0.0433632 \tabularnewline
17 & 67.7 & 66.1798 & 67.7 & -1.52019 & 1.52019 \tabularnewline
18 & 67.7 & 72.6894 & 67.7 & 4.98945 & -4.98945 \tabularnewline
19 & 67.7 & 60.1859 & 67.9292 & -7.74324 & 7.51407 \tabularnewline
20 & 67.7 & 59.3362 & 68.3458 & -9.00966 & 8.36383 \tabularnewline
21 & 67.7 & 73.9506 & 69.0167 & 4.93397 & -6.25063 \tabularnewline
22 & 67.7 & 74.4509 & 69.9083 & 4.54254 & -6.75088 \tabularnewline
23 & 67.7 & 70.7477 & 70.6458 & 0.101857 & -3.04769 \tabularnewline
24 & 67.7 & 70.2234 & 71.3792 & -1.15574 & -2.52343 \tabularnewline
25 & 73.2 & 69.7592 & 71.8458 & -2.08662 & 3.44079 \tabularnewline
26 & 72.2 & 70.5693 & 71.8833 & -1.31407 & 1.63074 \tabularnewline
27 & 79.3 & 80.5884 & 72.2833 & 8.30507 & -1.28841 \tabularnewline
28 & 77.5 & 73.29 & 73.3333 & -0.0433632 & 4.21003 \tabularnewline
29 & 75.6 & 72.7715 & 74.2917 & -1.52019 & 2.82852 \tabularnewline
30 & 77.4 & 79.7144 & 74.725 & 4.98945 & -2.31445 \tabularnewline
31 & 69.2 & 67.2151 & 74.9583 & -7.74324 & 1.98491 \tabularnewline
32 & 67.1 & 66.1695 & 75.1792 & -9.00966 & 0.930496 \tabularnewline
33 & 77.9 & 80.2506 & 75.3167 & 4.93397 & -2.35063 \tabularnewline
34 & 82.7 & 79.93 & 75.3875 & 4.54254 & 2.76996 \tabularnewline
35 & 75.7 & 75.4227 & 75.3208 & 0.101857 & 0.277309 \tabularnewline
36 & 70.1 & 74.1359 & 75.2917 & -1.15574 & -4.03593 \tabularnewline
37 & 76.4 & 73.3467 & 75.4333 & -2.08662 & 3.05329 \tabularnewline
38 & 74.3 & 74.1651 & 75.4792 & -1.31407 & 0.134907 \tabularnewline
39 & 80.5 & 83.9467 & 75.6417 & 8.30507 & -3.44674 \tabularnewline
40 & 78 & 75.8441 & 75.8875 & -0.0433632 & 2.15586 \tabularnewline
41 & 73.5 & 74.384 & 75.9042 & -1.52019 & -0.883981 \tabularnewline
42 & 78.8 & 81.2936 & 76.3042 & 4.98945 & -2.49362 \tabularnewline
43 & 71.2 & 68.9151 & 76.6583 & -7.74324 & 2.28491 \tabularnewline
44 & 66.2 & 67.7153 & 76.725 & -9.00966 & -1.51534 \tabularnewline
45 & 82.7 & 82.1881 & 77.2542 & 4.93397 & 0.511868 \tabularnewline
46 & 83.8 & 82.3675 & 77.825 & 4.54254 & 1.43246 \tabularnewline
47 & 75 & 78.256 & 78.1542 & 0.101857 & -3.25602 \tabularnewline
48 & 80.4 & 77.5943 & 78.75 & -1.15574 & 2.80574 \tabularnewline
49 & 74.6 & 77.3009 & 79.3875 & -2.08662 & -2.70088 \tabularnewline
50 & 77.7 & 78.6318 & 79.9458 & -1.31407 & -0.931759 \tabularnewline
51 & 89.8 & 88.9217 & 80.6167 & 8.30507 & 0.878259 \tabularnewline
52 & 82.4 & 81.0816 & 81.125 & -0.0433632 & 1.31836 \tabularnewline
53 & 77 & 80.2923 & 81.8125 & -1.52019 & -3.29231 \tabularnewline
54 & 89.6 & 87.6811 & 82.6917 & 4.98945 & 1.91888 \tabularnewline
55 & 75.7 & 75.7401 & 83.4833 & -7.74324 & -0.0400927 \tabularnewline
56 & 75.1 & 75.0737 & 84.0833 & -9.00966 & 0.0263289 \tabularnewline
57 & 89.9 & 89.3048 & 84.3708 & 4.93397 & 0.595201 \tabularnewline
58 & 88.8 & 89.205 & 84.6625 & 4.54254 & -0.405044 \tabularnewline
59 & 86.5 & 85.1852 & 85.0833 & 0.101857 & 1.31481 \tabularnewline
60 & 90 & 84.2443 & 85.4 & -1.15574 & 5.75574 \tabularnewline
61 & 84 & 83.3134 & 85.4 & -2.08662 & 0.686623 \tabularnewline
62 & 82.7 & 83.9984 & 85.3125 & -1.31407 & -1.29843 \tabularnewline
63 & 91.7 & 93.7092 & 85.4042 & 8.30507 & -2.00924 \tabularnewline
64 & 87.5 & 85.3775 & 85.4208 & -0.0433632 & 2.12253 \tabularnewline
65 & 82 & 83.9965 & 85.5167 & -1.52019 & -1.99648 \tabularnewline
66 & 92.2 & 90.7103 & 85.7208 & 4.98945 & 1.48972 \tabularnewline
67 & 73.1 & 78.1818 & 85.925 & -7.74324 & -5.08176 \tabularnewline
68 & 75.6 & 77.3028 & 86.3125 & -9.00966 & -1.70284 \tabularnewline
69 & 91.6 & 91.859 & 86.925 & 4.93397 & -0.258965 \tabularnewline
70 & 87.5 & 91.7509 & 87.2083 & 4.54254 & -4.25088 \tabularnewline
71 & 90.1 & 87.6352 & 87.5333 & 0.101857 & 2.46481 \tabularnewline
72 & 91.3 & 86.9859 & 88.1417 & -1.15574 & 4.31407 \tabularnewline
73 & 87.6 & 86.4467 & 88.5333 & -2.08662 & 1.15329 \tabularnewline
74 & 88.4 & 87.6401 & 88.9542 & -1.31407 & 0.759907 \tabularnewline
75 & 100.7 & 97.6342 & 89.3292 & 8.30507 & 3.06576 \tabularnewline
76 & 85.3 & 89.9316 & 89.975 & -0.0433632 & -4.63164 \tabularnewline
77 & 92 & 89.1965 & 90.7167 & -1.52019 & 2.80352 \tabularnewline
78 & 96.8 & 96.0061 & 91.0167 & 4.98945 & 0.793884 \tabularnewline
79 & 77.9 & 83.5776 & 91.3208 & -7.74324 & -5.67759 \tabularnewline
80 & 80.9 & 82.7195 & 91.7292 & -9.00966 & -1.8195 \tabularnewline
81 & 95.3 & 96.9381 & 92.0042 & 4.93397 & -1.63813 \tabularnewline
82 & 99.3 & 96.9675 & 92.425 & 4.54254 & 2.33246 \tabularnewline
83 & 96.1 & 92.981 & 92.8792 & 0.101857 & 3.11898 \tabularnewline
84 & 92.5 & 92.1526 & 93.3083 & -1.15574 & 0.347407 \tabularnewline
85 & 93.7 & 91.9592 & 94.0458 & -2.08662 & 1.74079 \tabularnewline
86 & 92.1 & 93.5359 & 94.85 & -1.31407 & -1.43593 \tabularnewline
87 & 103.6 & 103.638 & 95.3333 & 8.30507 & -0.0384076 \tabularnewline
88 & 92.5 & 95.8525 & 95.8958 & -0.0433632 & -3.35247 \tabularnewline
89 & 95.7 & 95.0048 & 96.525 & -1.52019 & 0.695186 \tabularnewline
90 & 103.4 & 101.844 & 96.8542 & 4.98945 & 1.55638 \tabularnewline
91 & 89 & 89.5526 & 97.2958 & -7.74324 & -0.552593 \tabularnewline
92 & 89.1 & 89.0237 & 98.0333 & -9.00966 & 0.0763289 \tabularnewline
93 & 98.7 & 103.384 & 98.45 & 4.93397 & -4.68397 \tabularnewline
94 & 109.4 & 103.555 & 99.0125 & 4.54254 & 5.84496 \tabularnewline
95 & 101.1 & 99.7894 & 99.6875 & 0.101857 & 1.31064 \tabularnewline
96 & 95.4 & 98.7776 & 99.9333 & -1.15574 & -3.37759 \tabularnewline
97 & 101.4 & 98.2634 & 100.35 & -2.08662 & 3.13662 \tabularnewline
98 & 102.1 & 99.2401 & 100.554 & -1.31407 & 2.85991 \tabularnewline
99 & 103.6 & 109.188 & 100.883 & 8.30507 & -5.58841 \tabularnewline
100 & 106 & 101.148 & 101.192 & -0.0433632 & 4.8517 \tabularnewline
101 & 98.4 & 99.1923 & 100.712 & -1.52019 & -0.792314 \tabularnewline
102 & 106.6 & 105.302 & 100.312 & 4.98945 & 1.29805 \tabularnewline
103 & 95.8 & 91.8401 & 99.5833 & -7.74324 & 3.95991 \tabularnewline
104 & 87.2 & 89.1528 & 98.1625 & -9.00966 & -1.95284 \tabularnewline
105 & 108.5 & 101.984 & 97.05 & 4.93397 & 6.51603 \tabularnewline
106 & 107 & 100.297 & 95.7542 & 4.54254 & 6.70329 \tabularnewline
107 & 92 & 94.5352 & 94.4333 & 0.101857 & -2.53519 \tabularnewline
108 & 94.9 & 92.2484 & 93.4042 & -1.15574 & 2.65157 \tabularnewline
109 & 84.4 & 90.1009 & 92.1875 & -2.08662 & -5.70088 \tabularnewline
110 & 85 & 90.0109 & 91.325 & -1.31407 & -5.01093 \tabularnewline
111 & 94 & 98.8634 & 90.5583 & 8.30507 & -4.86341 \tabularnewline
112 & 84.5 & 89.5108 & 89.5542 & -0.0433632 & -5.0108 \tabularnewline
113 & 88.2 & 87.5506 & 89.0708 & -1.52019 & 0.649353 \tabularnewline
114 & 92.1 & 93.9311 & 88.9417 & 4.98945 & -1.83112 \tabularnewline
115 & 81.1 & 81.3109 & 89.0542 & -7.74324 & -0.210926 \tabularnewline
116 & 81.2 & 80.7528 & 89.7625 & -9.00966 & 0.447162 \tabularnewline
117 & 96.1 & 95.7715 & 90.8375 & 4.93397 & 0.328535 \tabularnewline
118 & 95.3 & 96.4675 & 91.925 & 4.54254 & -1.16754 \tabularnewline
119 & 92.1 & 92.7894 & 92.6875 & 0.101857 & -0.689357 \tabularnewline
120 & 91.7 & 92.5401 & 93.6958 & -1.15574 & -0.840093 \tabularnewline
121 & 90.3 & 92.7509 & 94.8375 & -2.08662 & -2.45088 \tabularnewline
122 & 96.1 & 94.3693 & 95.6833 & -1.31407 & 1.73074 \tabularnewline
123 & 108.7 & 104.884 & 96.5792 & 8.30507 & 3.81576 \tabularnewline
124 & 95.9 & 97.4358 & 97.4792 & -0.0433632 & -1.5358 \tabularnewline
125 & 95.1 & 96.9381 & 98.4583 & -1.52019 & -1.83815 \tabularnewline
126 & 109.4 & 104.498 & 99.5083 & 4.98945 & 4.90222 \tabularnewline
127 & 91.2 & 92.6484 & 100.392 & -7.74324 & -1.44843 \tabularnewline
128 & 91.4 & 92.0612 & 101.071 & -9.00966 & -0.661171 \tabularnewline
129 & 107.4 & 106.901 & 101.967 & 4.93397 & 0.499368 \tabularnewline
130 & 105.6 & 107.372 & 102.829 & 4.54254 & -1.77171 \tabularnewline
131 & 105.3 & 103.814 & 103.712 & 0.101857 & 1.48564 \tabularnewline
132 & 103.7 & 103.044 & 104.2 & -1.15574 & 0.655741 \tabularnewline
133 & 99.5 & 101.984 & 104.071 & -2.08662 & -2.48421 \tabularnewline
134 & 103.2 & 103.09 & 104.404 & -1.31407 & 0.109907 \tabularnewline
135 & 123.1 & 113.222 & 104.917 & 8.30507 & 9.87826 \tabularnewline
136 & 102.2 & 105.007 & 105.05 & -0.0433632 & -2.80664 \tabularnewline
137 & 110 & 103.359 & 104.879 & -1.52019 & 6.64102 \tabularnewline
138 & 106.2 & 109.635 & 104.646 & 4.98945 & -3.43528 \tabularnewline
139 & 91.3 & 96.8359 & 104.579 & -7.74324 & -5.53593 \tabularnewline
140 & 99.3 & 95.6695 & 104.679 & -9.00966 & 3.6305 \tabularnewline
141 & 111.8 & 109.43 & 104.496 & 4.93397 & 2.3702 \tabularnewline
142 & 104.4 & 108.601 & 104.058 & 4.54254 & -4.20088 \tabularnewline
143 & 102.4 & 103.523 & 103.421 & 0.101857 & -1.12269 \tabularnewline
144 & 101 & 101.836 & 102.992 & -1.15574 & -0.835926 \tabularnewline
145 & 100.6 & 101.076 & 103.162 & -2.08662 & -0.475877 \tabularnewline
146 & 104.5 & 101.79 & 103.104 & -1.31407 & 2.70991 \tabularnewline
147 & 117.4 & 110.868 & 102.562 & 8.30507 & 6.53243 \tabularnewline
148 & 97.4 & 102.257 & 102.3 & -0.0433632 & -4.85664 \tabularnewline
149 & 99.5 & 100.784 & 102.304 & -1.52019 & -1.28398 \tabularnewline
150 & 106.4 & 106.927 & 101.937 & 4.98945 & -0.526949 \tabularnewline
151 & 95.2 & 93.7693 & 101.512 & -7.74324 & 1.43074 \tabularnewline
152 & 94 & 92.0695 & 101.079 & -9.00966 & 1.9305 \tabularnewline
153 & 104.1 & 105.317 & 100.383 & 4.93397 & -1.2173 \tabularnewline
154 & 105.8 & 104.805 & 100.262 & 4.54254 & 0.994956 \tabularnewline
155 & 101.1 & 100.694 & 100.592 & 0.101857 & 0.406476 \tabularnewline
156 & 93.5 & 99.5526 & 100.708 & -1.15574 & -6.05259 \tabularnewline
157 & 97.9 & 98.8925 & 100.979 & -2.08662 & -0.992544 \tabularnewline
158 & 96.8 & 99.7734 & 101.087 & -1.31407 & -2.97343 \tabularnewline
159 & 108.4 & 109.309 & 101.004 & 8.30507 & -0.909241 \tabularnewline
160 & 103.5 & 101.29 & 101.333 & -0.0433632 & 2.21003 \tabularnewline
161 & 101.3 & 100.292 & 101.812 & -1.52019 & 1.00769 \tabularnewline
162 & 107.4 & 107.302 & 102.312 & 4.98945 & 0.0980507 \tabularnewline
163 & 100.7 & 95.0484 & 102.792 & -7.74324 & 5.65157 \tabularnewline
164 & 91.1 & 94.2278 & 103.238 & -9.00966 & -3.12784 \tabularnewline
165 & 105 & 108.496 & 103.562 & 4.93397 & -3.49647 \tabularnewline
166 & 112.8 & 108.213 & 103.671 & 4.54254 & 4.58662 \tabularnewline
167 & 105.6 & 103.902 & 103.8 & 0.101857 & 1.69814 \tabularnewline
168 & 101 & 102.757 & 103.912 & -1.15574 & -1.75676 \tabularnewline
169 & 101.9 & 101.713 & 103.8 & -2.08662 & 0.186623 \tabularnewline
170 & 103.5 & 102.215 & 103.529 & -1.31407 & 1.28491 \tabularnewline
171 & 109.5 & 112.03 & 103.725 & 8.30507 & -2.53007 \tabularnewline
172 & 105 & 103.927 & 103.971 & -0.0433632 & 1.07253 \tabularnewline
173 & 102.9 & 102.221 & 103.742 & -1.52019 & 0.678519 \tabularnewline
174 & 108.5 & 108.573 & 103.583 & 4.98945 & -0.0727826 \tabularnewline
175 & 96.9 & 95.8443 & 103.588 & -7.74324 & 1.05574 \tabularnewline
176 & 88.4 & 94.3778 & 103.388 & -9.00966 & -5.97784 \tabularnewline
177 & 112.4 & 108.33 & 103.396 & 4.93397 & 4.0702 \tabularnewline
178 & 111.3 & 108.122 & 103.579 & 4.54254 & 3.17829 \tabularnewline
179 & 101.6 & 103.439 & 103.338 & 0.101857 & -1.83936 \tabularnewline
180 & 101.2 & 101.986 & 103.142 & -1.15574 & -0.785926 \tabularnewline
181 & 101.8 & 100.98 & 103.067 & -2.08662 & 0.819956 \tabularnewline
182 & 98.8 & 101.736 & 103.05 & -1.31407 & -2.93593 \tabularnewline
183 & 114.4 & 111.413 & 103.108 & 8.30507 & 2.98659 \tabularnewline
184 & 104.5 & 103.007 & 103.05 & -0.0433632 & 1.49336 \tabularnewline
185 & 97.6 & 101.713 & 103.233 & -1.52019 & -4.11315 \tabularnewline
186 & 109.1 & 108.464 & 103.475 & 4.98945 & 0.635551 \tabularnewline
187 & 94.5 & 95.8359 & 103.579 & -7.74324 & -1.33593 \tabularnewline
188 & 90.4 & 95.007 & 104.017 & -9.00966 & -4.607 \tabularnewline
189 & 111.8 & 109.438 & 104.504 & 4.93397 & 2.36187 \tabularnewline
190 & 110.5 & 109.388 & 104.846 & 4.54254 & 1.11162 \tabularnewline
191 & 106.8 & 105.377 & 105.275 & 0.101857 & 1.42314 \tabularnewline
192 & 101.8 & 104.603 & 105.758 & -1.15574 & -2.80259 \tabularnewline
193 & 103.7 & 104.076 & 106.162 & -2.08662 & -0.375877 \tabularnewline
194 & 107.4 & 105.394 & 106.708 & -1.31407 & 2.00574 \tabularnewline
195 & 117.5 & 115.468 & 107.162 & 8.30507 & 2.03243 \tabularnewline
196 & 109.6 & 107.09 & 107.133 & -0.0433632 & 2.51003 \tabularnewline
197 & 102.8 & 105.63 & 107.15 & -1.52019 & -2.82981 \tabularnewline
198 & 115.5 & 112.735 & 107.746 & 4.98945 & 2.76472 \tabularnewline
199 & 97.8 & 100.64 & 108.383 & -7.74324 & -2.84009 \tabularnewline
200 & 100.2 & 99.5987 & 108.608 & -9.00966 & 0.601329 \tabularnewline
201 & 112.9 & 113.926 & 108.992 & 4.93397 & -1.02563 \tabularnewline
202 & 108.7 & 113.601 & 109.058 & 4.54254 & -4.90088 \tabularnewline
203 & 109 & 109.269 & 109.167 & 0.101857 & -0.268524 \tabularnewline
204 & 113.9 & 108.478 & 109.633 & -1.15574 & 5.42241 \tabularnewline
205 & 106.9 & 107.859 & 109.946 & -2.08662 & -0.95921 \tabularnewline
206 & 109.6 & 109.015 & 110.329 & -1.31407 & 0.584907 \tabularnewline
207 & 124.5 & NA & NA & 8.30507 & NA \tabularnewline
208 & 104.2 & NA & NA & -0.0433632 & NA \tabularnewline
209 & 110.8 & NA & NA & -1.52019 & NA \tabularnewline
210 & 118.7 & NA & NA & 4.98945 & NA \tabularnewline
211 & 102.1 & NA & NA & -7.74324 & NA \tabularnewline
212 & 105.1 & NA & NA & -9.00966 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310329&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]63.2[/C][C]NA[/C][C]NA[/C][C]-2.08662[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]68.6[/C][C]NA[/C][C]NA[/C][C]-1.31407[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]77.7[/C][C]NA[/C][C]NA[/C][C]8.30507[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]68.1[/C][C]NA[/C][C]NA[/C][C]-0.0433632[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]75.1[/C][C]NA[/C][C]NA[/C][C]-1.52019[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]73.3[/C][C]NA[/C][C]NA[/C][C]4.98945[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]60.5[/C][C]61.8776[/C][C]69.6208[/C][C]-7.74324[/C][C]-1.37759[/C][/ROW]
[ROW][C]8[/C][C]65.9[/C][C]60.7612[/C][C]69.7708[/C][C]-9.00966[/C][C]5.13883[/C][/ROW]
[ROW][C]9[/C][C]77.7[/C][C]74.2506[/C][C]69.3167[/C][C]4.93397[/C][C]3.44937[/C][/ROW]
[ROW][C]10[/C][C]67.7[/C][C]73.4259[/C][C]68.8833[/C][C]4.54254[/C][C]-5.72588[/C][/ROW]
[ROW][C]11[/C][C]67.7[/C][C]68.6602[/C][C]68.5583[/C][C]0.101857[/C][C]-0.960191[/C][/ROW]
[ROW][C]12[/C][C]67.7[/C][C]66.8609[/C][C]68.0167[/C][C]-1.15574[/C][C]0.839074[/C][/ROW]
[ROW][C]13[/C][C]67.7[/C][C]65.9967[/C][C]68.0833[/C][C]-2.08662[/C][C]1.70329[/C][/ROW]
[ROW][C]14[/C][C]67.7[/C][C]67.1443[/C][C]68.4583[/C][C]-1.31407[/C][C]0.555741[/C][/ROW]
[ROW][C]15[/C][C]67.7[/C][C]76.4217[/C][C]68.1167[/C][C]8.30507[/C][C]-8.72174[/C][/ROW]
[ROW][C]16[/C][C]67.7[/C][C]67.6566[/C][C]67.7[/C][C]-0.0433632[/C][C]0.0433632[/C][/ROW]
[ROW][C]17[/C][C]67.7[/C][C]66.1798[/C][C]67.7[/C][C]-1.52019[/C][C]1.52019[/C][/ROW]
[ROW][C]18[/C][C]67.7[/C][C]72.6894[/C][C]67.7[/C][C]4.98945[/C][C]-4.98945[/C][/ROW]
[ROW][C]19[/C][C]67.7[/C][C]60.1859[/C][C]67.9292[/C][C]-7.74324[/C][C]7.51407[/C][/ROW]
[ROW][C]20[/C][C]67.7[/C][C]59.3362[/C][C]68.3458[/C][C]-9.00966[/C][C]8.36383[/C][/ROW]
[ROW][C]21[/C][C]67.7[/C][C]73.9506[/C][C]69.0167[/C][C]4.93397[/C][C]-6.25063[/C][/ROW]
[ROW][C]22[/C][C]67.7[/C][C]74.4509[/C][C]69.9083[/C][C]4.54254[/C][C]-6.75088[/C][/ROW]
[ROW][C]23[/C][C]67.7[/C][C]70.7477[/C][C]70.6458[/C][C]0.101857[/C][C]-3.04769[/C][/ROW]
[ROW][C]24[/C][C]67.7[/C][C]70.2234[/C][C]71.3792[/C][C]-1.15574[/C][C]-2.52343[/C][/ROW]
[ROW][C]25[/C][C]73.2[/C][C]69.7592[/C][C]71.8458[/C][C]-2.08662[/C][C]3.44079[/C][/ROW]
[ROW][C]26[/C][C]72.2[/C][C]70.5693[/C][C]71.8833[/C][C]-1.31407[/C][C]1.63074[/C][/ROW]
[ROW][C]27[/C][C]79.3[/C][C]80.5884[/C][C]72.2833[/C][C]8.30507[/C][C]-1.28841[/C][/ROW]
[ROW][C]28[/C][C]77.5[/C][C]73.29[/C][C]73.3333[/C][C]-0.0433632[/C][C]4.21003[/C][/ROW]
[ROW][C]29[/C][C]75.6[/C][C]72.7715[/C][C]74.2917[/C][C]-1.52019[/C][C]2.82852[/C][/ROW]
[ROW][C]30[/C][C]77.4[/C][C]79.7144[/C][C]74.725[/C][C]4.98945[/C][C]-2.31445[/C][/ROW]
[ROW][C]31[/C][C]69.2[/C][C]67.2151[/C][C]74.9583[/C][C]-7.74324[/C][C]1.98491[/C][/ROW]
[ROW][C]32[/C][C]67.1[/C][C]66.1695[/C][C]75.1792[/C][C]-9.00966[/C][C]0.930496[/C][/ROW]
[ROW][C]33[/C][C]77.9[/C][C]80.2506[/C][C]75.3167[/C][C]4.93397[/C][C]-2.35063[/C][/ROW]
[ROW][C]34[/C][C]82.7[/C][C]79.93[/C][C]75.3875[/C][C]4.54254[/C][C]2.76996[/C][/ROW]
[ROW][C]35[/C][C]75.7[/C][C]75.4227[/C][C]75.3208[/C][C]0.101857[/C][C]0.277309[/C][/ROW]
[ROW][C]36[/C][C]70.1[/C][C]74.1359[/C][C]75.2917[/C][C]-1.15574[/C][C]-4.03593[/C][/ROW]
[ROW][C]37[/C][C]76.4[/C][C]73.3467[/C][C]75.4333[/C][C]-2.08662[/C][C]3.05329[/C][/ROW]
[ROW][C]38[/C][C]74.3[/C][C]74.1651[/C][C]75.4792[/C][C]-1.31407[/C][C]0.134907[/C][/ROW]
[ROW][C]39[/C][C]80.5[/C][C]83.9467[/C][C]75.6417[/C][C]8.30507[/C][C]-3.44674[/C][/ROW]
[ROW][C]40[/C][C]78[/C][C]75.8441[/C][C]75.8875[/C][C]-0.0433632[/C][C]2.15586[/C][/ROW]
[ROW][C]41[/C][C]73.5[/C][C]74.384[/C][C]75.9042[/C][C]-1.52019[/C][C]-0.883981[/C][/ROW]
[ROW][C]42[/C][C]78.8[/C][C]81.2936[/C][C]76.3042[/C][C]4.98945[/C][C]-2.49362[/C][/ROW]
[ROW][C]43[/C][C]71.2[/C][C]68.9151[/C][C]76.6583[/C][C]-7.74324[/C][C]2.28491[/C][/ROW]
[ROW][C]44[/C][C]66.2[/C][C]67.7153[/C][C]76.725[/C][C]-9.00966[/C][C]-1.51534[/C][/ROW]
[ROW][C]45[/C][C]82.7[/C][C]82.1881[/C][C]77.2542[/C][C]4.93397[/C][C]0.511868[/C][/ROW]
[ROW][C]46[/C][C]83.8[/C][C]82.3675[/C][C]77.825[/C][C]4.54254[/C][C]1.43246[/C][/ROW]
[ROW][C]47[/C][C]75[/C][C]78.256[/C][C]78.1542[/C][C]0.101857[/C][C]-3.25602[/C][/ROW]
[ROW][C]48[/C][C]80.4[/C][C]77.5943[/C][C]78.75[/C][C]-1.15574[/C][C]2.80574[/C][/ROW]
[ROW][C]49[/C][C]74.6[/C][C]77.3009[/C][C]79.3875[/C][C]-2.08662[/C][C]-2.70088[/C][/ROW]
[ROW][C]50[/C][C]77.7[/C][C]78.6318[/C][C]79.9458[/C][C]-1.31407[/C][C]-0.931759[/C][/ROW]
[ROW][C]51[/C][C]89.8[/C][C]88.9217[/C][C]80.6167[/C][C]8.30507[/C][C]0.878259[/C][/ROW]
[ROW][C]52[/C][C]82.4[/C][C]81.0816[/C][C]81.125[/C][C]-0.0433632[/C][C]1.31836[/C][/ROW]
[ROW][C]53[/C][C]77[/C][C]80.2923[/C][C]81.8125[/C][C]-1.52019[/C][C]-3.29231[/C][/ROW]
[ROW][C]54[/C][C]89.6[/C][C]87.6811[/C][C]82.6917[/C][C]4.98945[/C][C]1.91888[/C][/ROW]
[ROW][C]55[/C][C]75.7[/C][C]75.7401[/C][C]83.4833[/C][C]-7.74324[/C][C]-0.0400927[/C][/ROW]
[ROW][C]56[/C][C]75.1[/C][C]75.0737[/C][C]84.0833[/C][C]-9.00966[/C][C]0.0263289[/C][/ROW]
[ROW][C]57[/C][C]89.9[/C][C]89.3048[/C][C]84.3708[/C][C]4.93397[/C][C]0.595201[/C][/ROW]
[ROW][C]58[/C][C]88.8[/C][C]89.205[/C][C]84.6625[/C][C]4.54254[/C][C]-0.405044[/C][/ROW]
[ROW][C]59[/C][C]86.5[/C][C]85.1852[/C][C]85.0833[/C][C]0.101857[/C][C]1.31481[/C][/ROW]
[ROW][C]60[/C][C]90[/C][C]84.2443[/C][C]85.4[/C][C]-1.15574[/C][C]5.75574[/C][/ROW]
[ROW][C]61[/C][C]84[/C][C]83.3134[/C][C]85.4[/C][C]-2.08662[/C][C]0.686623[/C][/ROW]
[ROW][C]62[/C][C]82.7[/C][C]83.9984[/C][C]85.3125[/C][C]-1.31407[/C][C]-1.29843[/C][/ROW]
[ROW][C]63[/C][C]91.7[/C][C]93.7092[/C][C]85.4042[/C][C]8.30507[/C][C]-2.00924[/C][/ROW]
[ROW][C]64[/C][C]87.5[/C][C]85.3775[/C][C]85.4208[/C][C]-0.0433632[/C][C]2.12253[/C][/ROW]
[ROW][C]65[/C][C]82[/C][C]83.9965[/C][C]85.5167[/C][C]-1.52019[/C][C]-1.99648[/C][/ROW]
[ROW][C]66[/C][C]92.2[/C][C]90.7103[/C][C]85.7208[/C][C]4.98945[/C][C]1.48972[/C][/ROW]
[ROW][C]67[/C][C]73.1[/C][C]78.1818[/C][C]85.925[/C][C]-7.74324[/C][C]-5.08176[/C][/ROW]
[ROW][C]68[/C][C]75.6[/C][C]77.3028[/C][C]86.3125[/C][C]-9.00966[/C][C]-1.70284[/C][/ROW]
[ROW][C]69[/C][C]91.6[/C][C]91.859[/C][C]86.925[/C][C]4.93397[/C][C]-0.258965[/C][/ROW]
[ROW][C]70[/C][C]87.5[/C][C]91.7509[/C][C]87.2083[/C][C]4.54254[/C][C]-4.25088[/C][/ROW]
[ROW][C]71[/C][C]90.1[/C][C]87.6352[/C][C]87.5333[/C][C]0.101857[/C][C]2.46481[/C][/ROW]
[ROW][C]72[/C][C]91.3[/C][C]86.9859[/C][C]88.1417[/C][C]-1.15574[/C][C]4.31407[/C][/ROW]
[ROW][C]73[/C][C]87.6[/C][C]86.4467[/C][C]88.5333[/C][C]-2.08662[/C][C]1.15329[/C][/ROW]
[ROW][C]74[/C][C]88.4[/C][C]87.6401[/C][C]88.9542[/C][C]-1.31407[/C][C]0.759907[/C][/ROW]
[ROW][C]75[/C][C]100.7[/C][C]97.6342[/C][C]89.3292[/C][C]8.30507[/C][C]3.06576[/C][/ROW]
[ROW][C]76[/C][C]85.3[/C][C]89.9316[/C][C]89.975[/C][C]-0.0433632[/C][C]-4.63164[/C][/ROW]
[ROW][C]77[/C][C]92[/C][C]89.1965[/C][C]90.7167[/C][C]-1.52019[/C][C]2.80352[/C][/ROW]
[ROW][C]78[/C][C]96.8[/C][C]96.0061[/C][C]91.0167[/C][C]4.98945[/C][C]0.793884[/C][/ROW]
[ROW][C]79[/C][C]77.9[/C][C]83.5776[/C][C]91.3208[/C][C]-7.74324[/C][C]-5.67759[/C][/ROW]
[ROW][C]80[/C][C]80.9[/C][C]82.7195[/C][C]91.7292[/C][C]-9.00966[/C][C]-1.8195[/C][/ROW]
[ROW][C]81[/C][C]95.3[/C][C]96.9381[/C][C]92.0042[/C][C]4.93397[/C][C]-1.63813[/C][/ROW]
[ROW][C]82[/C][C]99.3[/C][C]96.9675[/C][C]92.425[/C][C]4.54254[/C][C]2.33246[/C][/ROW]
[ROW][C]83[/C][C]96.1[/C][C]92.981[/C][C]92.8792[/C][C]0.101857[/C][C]3.11898[/C][/ROW]
[ROW][C]84[/C][C]92.5[/C][C]92.1526[/C][C]93.3083[/C][C]-1.15574[/C][C]0.347407[/C][/ROW]
[ROW][C]85[/C][C]93.7[/C][C]91.9592[/C][C]94.0458[/C][C]-2.08662[/C][C]1.74079[/C][/ROW]
[ROW][C]86[/C][C]92.1[/C][C]93.5359[/C][C]94.85[/C][C]-1.31407[/C][C]-1.43593[/C][/ROW]
[ROW][C]87[/C][C]103.6[/C][C]103.638[/C][C]95.3333[/C][C]8.30507[/C][C]-0.0384076[/C][/ROW]
[ROW][C]88[/C][C]92.5[/C][C]95.8525[/C][C]95.8958[/C][C]-0.0433632[/C][C]-3.35247[/C][/ROW]
[ROW][C]89[/C][C]95.7[/C][C]95.0048[/C][C]96.525[/C][C]-1.52019[/C][C]0.695186[/C][/ROW]
[ROW][C]90[/C][C]103.4[/C][C]101.844[/C][C]96.8542[/C][C]4.98945[/C][C]1.55638[/C][/ROW]
[ROW][C]91[/C][C]89[/C][C]89.5526[/C][C]97.2958[/C][C]-7.74324[/C][C]-0.552593[/C][/ROW]
[ROW][C]92[/C][C]89.1[/C][C]89.0237[/C][C]98.0333[/C][C]-9.00966[/C][C]0.0763289[/C][/ROW]
[ROW][C]93[/C][C]98.7[/C][C]103.384[/C][C]98.45[/C][C]4.93397[/C][C]-4.68397[/C][/ROW]
[ROW][C]94[/C][C]109.4[/C][C]103.555[/C][C]99.0125[/C][C]4.54254[/C][C]5.84496[/C][/ROW]
[ROW][C]95[/C][C]101.1[/C][C]99.7894[/C][C]99.6875[/C][C]0.101857[/C][C]1.31064[/C][/ROW]
[ROW][C]96[/C][C]95.4[/C][C]98.7776[/C][C]99.9333[/C][C]-1.15574[/C][C]-3.37759[/C][/ROW]
[ROW][C]97[/C][C]101.4[/C][C]98.2634[/C][C]100.35[/C][C]-2.08662[/C][C]3.13662[/C][/ROW]
[ROW][C]98[/C][C]102.1[/C][C]99.2401[/C][C]100.554[/C][C]-1.31407[/C][C]2.85991[/C][/ROW]
[ROW][C]99[/C][C]103.6[/C][C]109.188[/C][C]100.883[/C][C]8.30507[/C][C]-5.58841[/C][/ROW]
[ROW][C]100[/C][C]106[/C][C]101.148[/C][C]101.192[/C][C]-0.0433632[/C][C]4.8517[/C][/ROW]
[ROW][C]101[/C][C]98.4[/C][C]99.1923[/C][C]100.712[/C][C]-1.52019[/C][C]-0.792314[/C][/ROW]
[ROW][C]102[/C][C]106.6[/C][C]105.302[/C][C]100.312[/C][C]4.98945[/C][C]1.29805[/C][/ROW]
[ROW][C]103[/C][C]95.8[/C][C]91.8401[/C][C]99.5833[/C][C]-7.74324[/C][C]3.95991[/C][/ROW]
[ROW][C]104[/C][C]87.2[/C][C]89.1528[/C][C]98.1625[/C][C]-9.00966[/C][C]-1.95284[/C][/ROW]
[ROW][C]105[/C][C]108.5[/C][C]101.984[/C][C]97.05[/C][C]4.93397[/C][C]6.51603[/C][/ROW]
[ROW][C]106[/C][C]107[/C][C]100.297[/C][C]95.7542[/C][C]4.54254[/C][C]6.70329[/C][/ROW]
[ROW][C]107[/C][C]92[/C][C]94.5352[/C][C]94.4333[/C][C]0.101857[/C][C]-2.53519[/C][/ROW]
[ROW][C]108[/C][C]94.9[/C][C]92.2484[/C][C]93.4042[/C][C]-1.15574[/C][C]2.65157[/C][/ROW]
[ROW][C]109[/C][C]84.4[/C][C]90.1009[/C][C]92.1875[/C][C]-2.08662[/C][C]-5.70088[/C][/ROW]
[ROW][C]110[/C][C]85[/C][C]90.0109[/C][C]91.325[/C][C]-1.31407[/C][C]-5.01093[/C][/ROW]
[ROW][C]111[/C][C]94[/C][C]98.8634[/C][C]90.5583[/C][C]8.30507[/C][C]-4.86341[/C][/ROW]
[ROW][C]112[/C][C]84.5[/C][C]89.5108[/C][C]89.5542[/C][C]-0.0433632[/C][C]-5.0108[/C][/ROW]
[ROW][C]113[/C][C]88.2[/C][C]87.5506[/C][C]89.0708[/C][C]-1.52019[/C][C]0.649353[/C][/ROW]
[ROW][C]114[/C][C]92.1[/C][C]93.9311[/C][C]88.9417[/C][C]4.98945[/C][C]-1.83112[/C][/ROW]
[ROW][C]115[/C][C]81.1[/C][C]81.3109[/C][C]89.0542[/C][C]-7.74324[/C][C]-0.210926[/C][/ROW]
[ROW][C]116[/C][C]81.2[/C][C]80.7528[/C][C]89.7625[/C][C]-9.00966[/C][C]0.447162[/C][/ROW]
[ROW][C]117[/C][C]96.1[/C][C]95.7715[/C][C]90.8375[/C][C]4.93397[/C][C]0.328535[/C][/ROW]
[ROW][C]118[/C][C]95.3[/C][C]96.4675[/C][C]91.925[/C][C]4.54254[/C][C]-1.16754[/C][/ROW]
[ROW][C]119[/C][C]92.1[/C][C]92.7894[/C][C]92.6875[/C][C]0.101857[/C][C]-0.689357[/C][/ROW]
[ROW][C]120[/C][C]91.7[/C][C]92.5401[/C][C]93.6958[/C][C]-1.15574[/C][C]-0.840093[/C][/ROW]
[ROW][C]121[/C][C]90.3[/C][C]92.7509[/C][C]94.8375[/C][C]-2.08662[/C][C]-2.45088[/C][/ROW]
[ROW][C]122[/C][C]96.1[/C][C]94.3693[/C][C]95.6833[/C][C]-1.31407[/C][C]1.73074[/C][/ROW]
[ROW][C]123[/C][C]108.7[/C][C]104.884[/C][C]96.5792[/C][C]8.30507[/C][C]3.81576[/C][/ROW]
[ROW][C]124[/C][C]95.9[/C][C]97.4358[/C][C]97.4792[/C][C]-0.0433632[/C][C]-1.5358[/C][/ROW]
[ROW][C]125[/C][C]95.1[/C][C]96.9381[/C][C]98.4583[/C][C]-1.52019[/C][C]-1.83815[/C][/ROW]
[ROW][C]126[/C][C]109.4[/C][C]104.498[/C][C]99.5083[/C][C]4.98945[/C][C]4.90222[/C][/ROW]
[ROW][C]127[/C][C]91.2[/C][C]92.6484[/C][C]100.392[/C][C]-7.74324[/C][C]-1.44843[/C][/ROW]
[ROW][C]128[/C][C]91.4[/C][C]92.0612[/C][C]101.071[/C][C]-9.00966[/C][C]-0.661171[/C][/ROW]
[ROW][C]129[/C][C]107.4[/C][C]106.901[/C][C]101.967[/C][C]4.93397[/C][C]0.499368[/C][/ROW]
[ROW][C]130[/C][C]105.6[/C][C]107.372[/C][C]102.829[/C][C]4.54254[/C][C]-1.77171[/C][/ROW]
[ROW][C]131[/C][C]105.3[/C][C]103.814[/C][C]103.712[/C][C]0.101857[/C][C]1.48564[/C][/ROW]
[ROW][C]132[/C][C]103.7[/C][C]103.044[/C][C]104.2[/C][C]-1.15574[/C][C]0.655741[/C][/ROW]
[ROW][C]133[/C][C]99.5[/C][C]101.984[/C][C]104.071[/C][C]-2.08662[/C][C]-2.48421[/C][/ROW]
[ROW][C]134[/C][C]103.2[/C][C]103.09[/C][C]104.404[/C][C]-1.31407[/C][C]0.109907[/C][/ROW]
[ROW][C]135[/C][C]123.1[/C][C]113.222[/C][C]104.917[/C][C]8.30507[/C][C]9.87826[/C][/ROW]
[ROW][C]136[/C][C]102.2[/C][C]105.007[/C][C]105.05[/C][C]-0.0433632[/C][C]-2.80664[/C][/ROW]
[ROW][C]137[/C][C]110[/C][C]103.359[/C][C]104.879[/C][C]-1.52019[/C][C]6.64102[/C][/ROW]
[ROW][C]138[/C][C]106.2[/C][C]109.635[/C][C]104.646[/C][C]4.98945[/C][C]-3.43528[/C][/ROW]
[ROW][C]139[/C][C]91.3[/C][C]96.8359[/C][C]104.579[/C][C]-7.74324[/C][C]-5.53593[/C][/ROW]
[ROW][C]140[/C][C]99.3[/C][C]95.6695[/C][C]104.679[/C][C]-9.00966[/C][C]3.6305[/C][/ROW]
[ROW][C]141[/C][C]111.8[/C][C]109.43[/C][C]104.496[/C][C]4.93397[/C][C]2.3702[/C][/ROW]
[ROW][C]142[/C][C]104.4[/C][C]108.601[/C][C]104.058[/C][C]4.54254[/C][C]-4.20088[/C][/ROW]
[ROW][C]143[/C][C]102.4[/C][C]103.523[/C][C]103.421[/C][C]0.101857[/C][C]-1.12269[/C][/ROW]
[ROW][C]144[/C][C]101[/C][C]101.836[/C][C]102.992[/C][C]-1.15574[/C][C]-0.835926[/C][/ROW]
[ROW][C]145[/C][C]100.6[/C][C]101.076[/C][C]103.162[/C][C]-2.08662[/C][C]-0.475877[/C][/ROW]
[ROW][C]146[/C][C]104.5[/C][C]101.79[/C][C]103.104[/C][C]-1.31407[/C][C]2.70991[/C][/ROW]
[ROW][C]147[/C][C]117.4[/C][C]110.868[/C][C]102.562[/C][C]8.30507[/C][C]6.53243[/C][/ROW]
[ROW][C]148[/C][C]97.4[/C][C]102.257[/C][C]102.3[/C][C]-0.0433632[/C][C]-4.85664[/C][/ROW]
[ROW][C]149[/C][C]99.5[/C][C]100.784[/C][C]102.304[/C][C]-1.52019[/C][C]-1.28398[/C][/ROW]
[ROW][C]150[/C][C]106.4[/C][C]106.927[/C][C]101.937[/C][C]4.98945[/C][C]-0.526949[/C][/ROW]
[ROW][C]151[/C][C]95.2[/C][C]93.7693[/C][C]101.512[/C][C]-7.74324[/C][C]1.43074[/C][/ROW]
[ROW][C]152[/C][C]94[/C][C]92.0695[/C][C]101.079[/C][C]-9.00966[/C][C]1.9305[/C][/ROW]
[ROW][C]153[/C][C]104.1[/C][C]105.317[/C][C]100.383[/C][C]4.93397[/C][C]-1.2173[/C][/ROW]
[ROW][C]154[/C][C]105.8[/C][C]104.805[/C][C]100.262[/C][C]4.54254[/C][C]0.994956[/C][/ROW]
[ROW][C]155[/C][C]101.1[/C][C]100.694[/C][C]100.592[/C][C]0.101857[/C][C]0.406476[/C][/ROW]
[ROW][C]156[/C][C]93.5[/C][C]99.5526[/C][C]100.708[/C][C]-1.15574[/C][C]-6.05259[/C][/ROW]
[ROW][C]157[/C][C]97.9[/C][C]98.8925[/C][C]100.979[/C][C]-2.08662[/C][C]-0.992544[/C][/ROW]
[ROW][C]158[/C][C]96.8[/C][C]99.7734[/C][C]101.087[/C][C]-1.31407[/C][C]-2.97343[/C][/ROW]
[ROW][C]159[/C][C]108.4[/C][C]109.309[/C][C]101.004[/C][C]8.30507[/C][C]-0.909241[/C][/ROW]
[ROW][C]160[/C][C]103.5[/C][C]101.29[/C][C]101.333[/C][C]-0.0433632[/C][C]2.21003[/C][/ROW]
[ROW][C]161[/C][C]101.3[/C][C]100.292[/C][C]101.812[/C][C]-1.52019[/C][C]1.00769[/C][/ROW]
[ROW][C]162[/C][C]107.4[/C][C]107.302[/C][C]102.312[/C][C]4.98945[/C][C]0.0980507[/C][/ROW]
[ROW][C]163[/C][C]100.7[/C][C]95.0484[/C][C]102.792[/C][C]-7.74324[/C][C]5.65157[/C][/ROW]
[ROW][C]164[/C][C]91.1[/C][C]94.2278[/C][C]103.238[/C][C]-9.00966[/C][C]-3.12784[/C][/ROW]
[ROW][C]165[/C][C]105[/C][C]108.496[/C][C]103.562[/C][C]4.93397[/C][C]-3.49647[/C][/ROW]
[ROW][C]166[/C][C]112.8[/C][C]108.213[/C][C]103.671[/C][C]4.54254[/C][C]4.58662[/C][/ROW]
[ROW][C]167[/C][C]105.6[/C][C]103.902[/C][C]103.8[/C][C]0.101857[/C][C]1.69814[/C][/ROW]
[ROW][C]168[/C][C]101[/C][C]102.757[/C][C]103.912[/C][C]-1.15574[/C][C]-1.75676[/C][/ROW]
[ROW][C]169[/C][C]101.9[/C][C]101.713[/C][C]103.8[/C][C]-2.08662[/C][C]0.186623[/C][/ROW]
[ROW][C]170[/C][C]103.5[/C][C]102.215[/C][C]103.529[/C][C]-1.31407[/C][C]1.28491[/C][/ROW]
[ROW][C]171[/C][C]109.5[/C][C]112.03[/C][C]103.725[/C][C]8.30507[/C][C]-2.53007[/C][/ROW]
[ROW][C]172[/C][C]105[/C][C]103.927[/C][C]103.971[/C][C]-0.0433632[/C][C]1.07253[/C][/ROW]
[ROW][C]173[/C][C]102.9[/C][C]102.221[/C][C]103.742[/C][C]-1.52019[/C][C]0.678519[/C][/ROW]
[ROW][C]174[/C][C]108.5[/C][C]108.573[/C][C]103.583[/C][C]4.98945[/C][C]-0.0727826[/C][/ROW]
[ROW][C]175[/C][C]96.9[/C][C]95.8443[/C][C]103.588[/C][C]-7.74324[/C][C]1.05574[/C][/ROW]
[ROW][C]176[/C][C]88.4[/C][C]94.3778[/C][C]103.388[/C][C]-9.00966[/C][C]-5.97784[/C][/ROW]
[ROW][C]177[/C][C]112.4[/C][C]108.33[/C][C]103.396[/C][C]4.93397[/C][C]4.0702[/C][/ROW]
[ROW][C]178[/C][C]111.3[/C][C]108.122[/C][C]103.579[/C][C]4.54254[/C][C]3.17829[/C][/ROW]
[ROW][C]179[/C][C]101.6[/C][C]103.439[/C][C]103.338[/C][C]0.101857[/C][C]-1.83936[/C][/ROW]
[ROW][C]180[/C][C]101.2[/C][C]101.986[/C][C]103.142[/C][C]-1.15574[/C][C]-0.785926[/C][/ROW]
[ROW][C]181[/C][C]101.8[/C][C]100.98[/C][C]103.067[/C][C]-2.08662[/C][C]0.819956[/C][/ROW]
[ROW][C]182[/C][C]98.8[/C][C]101.736[/C][C]103.05[/C][C]-1.31407[/C][C]-2.93593[/C][/ROW]
[ROW][C]183[/C][C]114.4[/C][C]111.413[/C][C]103.108[/C][C]8.30507[/C][C]2.98659[/C][/ROW]
[ROW][C]184[/C][C]104.5[/C][C]103.007[/C][C]103.05[/C][C]-0.0433632[/C][C]1.49336[/C][/ROW]
[ROW][C]185[/C][C]97.6[/C][C]101.713[/C][C]103.233[/C][C]-1.52019[/C][C]-4.11315[/C][/ROW]
[ROW][C]186[/C][C]109.1[/C][C]108.464[/C][C]103.475[/C][C]4.98945[/C][C]0.635551[/C][/ROW]
[ROW][C]187[/C][C]94.5[/C][C]95.8359[/C][C]103.579[/C][C]-7.74324[/C][C]-1.33593[/C][/ROW]
[ROW][C]188[/C][C]90.4[/C][C]95.007[/C][C]104.017[/C][C]-9.00966[/C][C]-4.607[/C][/ROW]
[ROW][C]189[/C][C]111.8[/C][C]109.438[/C][C]104.504[/C][C]4.93397[/C][C]2.36187[/C][/ROW]
[ROW][C]190[/C][C]110.5[/C][C]109.388[/C][C]104.846[/C][C]4.54254[/C][C]1.11162[/C][/ROW]
[ROW][C]191[/C][C]106.8[/C][C]105.377[/C][C]105.275[/C][C]0.101857[/C][C]1.42314[/C][/ROW]
[ROW][C]192[/C][C]101.8[/C][C]104.603[/C][C]105.758[/C][C]-1.15574[/C][C]-2.80259[/C][/ROW]
[ROW][C]193[/C][C]103.7[/C][C]104.076[/C][C]106.162[/C][C]-2.08662[/C][C]-0.375877[/C][/ROW]
[ROW][C]194[/C][C]107.4[/C][C]105.394[/C][C]106.708[/C][C]-1.31407[/C][C]2.00574[/C][/ROW]
[ROW][C]195[/C][C]117.5[/C][C]115.468[/C][C]107.162[/C][C]8.30507[/C][C]2.03243[/C][/ROW]
[ROW][C]196[/C][C]109.6[/C][C]107.09[/C][C]107.133[/C][C]-0.0433632[/C][C]2.51003[/C][/ROW]
[ROW][C]197[/C][C]102.8[/C][C]105.63[/C][C]107.15[/C][C]-1.52019[/C][C]-2.82981[/C][/ROW]
[ROW][C]198[/C][C]115.5[/C][C]112.735[/C][C]107.746[/C][C]4.98945[/C][C]2.76472[/C][/ROW]
[ROW][C]199[/C][C]97.8[/C][C]100.64[/C][C]108.383[/C][C]-7.74324[/C][C]-2.84009[/C][/ROW]
[ROW][C]200[/C][C]100.2[/C][C]99.5987[/C][C]108.608[/C][C]-9.00966[/C][C]0.601329[/C][/ROW]
[ROW][C]201[/C][C]112.9[/C][C]113.926[/C][C]108.992[/C][C]4.93397[/C][C]-1.02563[/C][/ROW]
[ROW][C]202[/C][C]108.7[/C][C]113.601[/C][C]109.058[/C][C]4.54254[/C][C]-4.90088[/C][/ROW]
[ROW][C]203[/C][C]109[/C][C]109.269[/C][C]109.167[/C][C]0.101857[/C][C]-0.268524[/C][/ROW]
[ROW][C]204[/C][C]113.9[/C][C]108.478[/C][C]109.633[/C][C]-1.15574[/C][C]5.42241[/C][/ROW]
[ROW][C]205[/C][C]106.9[/C][C]107.859[/C][C]109.946[/C][C]-2.08662[/C][C]-0.95921[/C][/ROW]
[ROW][C]206[/C][C]109.6[/C][C]109.015[/C][C]110.329[/C][C]-1.31407[/C][C]0.584907[/C][/ROW]
[ROW][C]207[/C][C]124.5[/C][C]NA[/C][C]NA[/C][C]8.30507[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]104.2[/C][C]NA[/C][C]NA[/C][C]-0.0433632[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]110.8[/C][C]NA[/C][C]NA[/C][C]-1.52019[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]118.7[/C][C]NA[/C][C]NA[/C][C]4.98945[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]102.1[/C][C]NA[/C][C]NA[/C][C]-7.74324[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]105.1[/C][C]NA[/C][C]NA[/C][C]-9.00966[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310329&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
163.2NANA-2.08662NA
268.6NANA-1.31407NA
377.7NANA8.30507NA
468.1NANA-0.0433632NA
575.1NANA-1.52019NA
673.3NANA4.98945NA
760.561.877669.6208-7.74324-1.37759
865.960.761269.7708-9.009665.13883
977.774.250669.31674.933973.44937
1067.773.425968.88334.54254-5.72588
1167.768.660268.55830.101857-0.960191
1267.766.860968.0167-1.155740.839074
1367.765.996768.0833-2.086621.70329
1467.767.144368.4583-1.314070.555741
1567.776.421768.11678.30507-8.72174
1667.767.656667.7-0.04336320.0433632
1767.766.179867.7-1.520191.52019
1867.772.689467.74.98945-4.98945
1967.760.185967.9292-7.743247.51407
2067.759.336268.3458-9.009668.36383
2167.773.950669.01674.93397-6.25063
2267.774.450969.90834.54254-6.75088
2367.770.747770.64580.101857-3.04769
2467.770.223471.3792-1.15574-2.52343
2573.269.759271.8458-2.086623.44079
2672.270.569371.8833-1.314071.63074
2779.380.588472.28338.30507-1.28841
2877.573.2973.3333-0.04336324.21003
2975.672.771574.2917-1.520192.82852
3077.479.714474.7254.98945-2.31445
3169.267.215174.9583-7.743241.98491
3267.166.169575.1792-9.009660.930496
3377.980.250675.31674.93397-2.35063
3482.779.9375.38754.542542.76996
3575.775.422775.32080.1018570.277309
3670.174.135975.2917-1.15574-4.03593
3776.473.346775.4333-2.086623.05329
3874.374.165175.4792-1.314070.134907
3980.583.946775.64178.30507-3.44674
407875.844175.8875-0.04336322.15586
4173.574.38475.9042-1.52019-0.883981
4278.881.293676.30424.98945-2.49362
4371.268.915176.6583-7.743242.28491
4466.267.715376.725-9.00966-1.51534
4582.782.188177.25424.933970.511868
4683.882.367577.8254.542541.43246
477578.25678.15420.101857-3.25602
4880.477.594378.75-1.155742.80574
4974.677.300979.3875-2.08662-2.70088
5077.778.631879.9458-1.31407-0.931759
5189.888.921780.61678.305070.878259
5282.481.081681.125-0.04336321.31836
537780.292381.8125-1.52019-3.29231
5489.687.681182.69174.989451.91888
5575.775.740183.4833-7.74324-0.0400927
5675.175.073784.0833-9.009660.0263289
5789.989.304884.37084.933970.595201
5888.889.20584.66254.54254-0.405044
5986.585.185285.08330.1018571.31481
609084.244385.4-1.155745.75574
618483.313485.4-2.086620.686623
6282.783.998485.3125-1.31407-1.29843
6391.793.709285.40428.30507-2.00924
6487.585.377585.4208-0.04336322.12253
658283.996585.5167-1.52019-1.99648
6692.290.710385.72084.989451.48972
6773.178.181885.925-7.74324-5.08176
6875.677.302886.3125-9.00966-1.70284
6991.691.85986.9254.93397-0.258965
7087.591.750987.20834.54254-4.25088
7190.187.635287.53330.1018572.46481
7291.386.985988.1417-1.155744.31407
7387.686.446788.5333-2.086621.15329
7488.487.640188.9542-1.314070.759907
75100.797.634289.32928.305073.06576
7685.389.931689.975-0.0433632-4.63164
779289.196590.7167-1.520192.80352
7896.896.006191.01674.989450.793884
7977.983.577691.3208-7.74324-5.67759
8080.982.719591.7292-9.00966-1.8195
8195.396.938192.00424.93397-1.63813
8299.396.967592.4254.542542.33246
8396.192.98192.87920.1018573.11898
8492.592.152693.3083-1.155740.347407
8593.791.959294.0458-2.086621.74079
8692.193.535994.85-1.31407-1.43593
87103.6103.63895.33338.30507-0.0384076
8892.595.852595.8958-0.0433632-3.35247
8995.795.004896.525-1.520190.695186
90103.4101.84496.85424.989451.55638
918989.552697.2958-7.74324-0.552593
9289.189.023798.0333-9.009660.0763289
9398.7103.38498.454.93397-4.68397
94109.4103.55599.01254.542545.84496
95101.199.789499.68750.1018571.31064
9695.498.777699.9333-1.15574-3.37759
97101.498.2634100.35-2.086623.13662
98102.199.2401100.554-1.314072.85991
99103.6109.188100.8838.30507-5.58841
100106101.148101.192-0.04336324.8517
10198.499.1923100.712-1.52019-0.792314
102106.6105.302100.3124.989451.29805
10395.891.840199.5833-7.743243.95991
10487.289.152898.1625-9.00966-1.95284
105108.5101.98497.054.933976.51603
106107100.29795.75424.542546.70329
1079294.535294.43330.101857-2.53519
10894.992.248493.4042-1.155742.65157
10984.490.100992.1875-2.08662-5.70088
1108590.010991.325-1.31407-5.01093
1119498.863490.55838.30507-4.86341
11284.589.510889.5542-0.0433632-5.0108
11388.287.550689.0708-1.520190.649353
11492.193.931188.94174.98945-1.83112
11581.181.310989.0542-7.74324-0.210926
11681.280.752889.7625-9.009660.447162
11796.195.771590.83754.933970.328535
11895.396.467591.9254.54254-1.16754
11992.192.789492.68750.101857-0.689357
12091.792.540193.6958-1.15574-0.840093
12190.392.750994.8375-2.08662-2.45088
12296.194.369395.6833-1.314071.73074
123108.7104.88496.57928.305073.81576
12495.997.435897.4792-0.0433632-1.5358
12595.196.938198.4583-1.52019-1.83815
126109.4104.49899.50834.989454.90222
12791.292.6484100.392-7.74324-1.44843
12891.492.0612101.071-9.00966-0.661171
129107.4106.901101.9674.933970.499368
130105.6107.372102.8294.54254-1.77171
131105.3103.814103.7120.1018571.48564
132103.7103.044104.2-1.155740.655741
13399.5101.984104.071-2.08662-2.48421
134103.2103.09104.404-1.314070.109907
135123.1113.222104.9178.305079.87826
136102.2105.007105.05-0.0433632-2.80664
137110103.359104.879-1.520196.64102
138106.2109.635104.6464.98945-3.43528
13991.396.8359104.579-7.74324-5.53593
14099.395.6695104.679-9.009663.6305
141111.8109.43104.4964.933972.3702
142104.4108.601104.0584.54254-4.20088
143102.4103.523103.4210.101857-1.12269
144101101.836102.992-1.15574-0.835926
145100.6101.076103.162-2.08662-0.475877
146104.5101.79103.104-1.314072.70991
147117.4110.868102.5628.305076.53243
14897.4102.257102.3-0.0433632-4.85664
14999.5100.784102.304-1.52019-1.28398
150106.4106.927101.9374.98945-0.526949
15195.293.7693101.512-7.743241.43074
1529492.0695101.079-9.009661.9305
153104.1105.317100.3834.93397-1.2173
154105.8104.805100.2624.542540.994956
155101.1100.694100.5920.1018570.406476
15693.599.5526100.708-1.15574-6.05259
15797.998.8925100.979-2.08662-0.992544
15896.899.7734101.087-1.31407-2.97343
159108.4109.309101.0048.30507-0.909241
160103.5101.29101.333-0.04336322.21003
161101.3100.292101.812-1.520191.00769
162107.4107.302102.3124.989450.0980507
163100.795.0484102.792-7.743245.65157
16491.194.2278103.238-9.00966-3.12784
165105108.496103.5624.93397-3.49647
166112.8108.213103.6714.542544.58662
167105.6103.902103.80.1018571.69814
168101102.757103.912-1.15574-1.75676
169101.9101.713103.8-2.086620.186623
170103.5102.215103.529-1.314071.28491
171109.5112.03103.7258.30507-2.53007
172105103.927103.971-0.04336321.07253
173102.9102.221103.742-1.520190.678519
174108.5108.573103.5834.98945-0.0727826
17596.995.8443103.588-7.743241.05574
17688.494.3778103.388-9.00966-5.97784
177112.4108.33103.3964.933974.0702
178111.3108.122103.5794.542543.17829
179101.6103.439103.3380.101857-1.83936
180101.2101.986103.142-1.15574-0.785926
181101.8100.98103.067-2.086620.819956
18298.8101.736103.05-1.31407-2.93593
183114.4111.413103.1088.305072.98659
184104.5103.007103.05-0.04336321.49336
18597.6101.713103.233-1.52019-4.11315
186109.1108.464103.4754.989450.635551
18794.595.8359103.579-7.74324-1.33593
18890.495.007104.017-9.00966-4.607
189111.8109.438104.5044.933972.36187
190110.5109.388104.8464.542541.11162
191106.8105.377105.2750.1018571.42314
192101.8104.603105.758-1.15574-2.80259
193103.7104.076106.162-2.08662-0.375877
194107.4105.394106.708-1.314072.00574
195117.5115.468107.1628.305072.03243
196109.6107.09107.133-0.04336322.51003
197102.8105.63107.15-1.52019-2.82981
198115.5112.735107.7464.989452.76472
19997.8100.64108.383-7.74324-2.84009
200100.299.5987108.608-9.009660.601329
201112.9113.926108.9924.93397-1.02563
202108.7113.601109.0584.54254-4.90088
203109109.269109.1670.101857-0.268524
204113.9108.478109.633-1.155745.42241
205106.9107.859109.946-2.08662-0.95921
206109.6109.015110.329-1.314070.584907
207124.5NANA8.30507NA
208104.2NANA-0.0433632NA
209110.8NANA-1.52019NA
210118.7NANA4.98945NA
211102.1NANA-7.74324NA
212105.1NANA-9.00966NA



Parameters (Session):
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- '12'
par1 <- 'additive'
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')