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Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 12 May 2014 10:35:02 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/May/12/t1399905328o5apo9lnmzzc377.htm/, Retrieved Thu, 16 May 2024 03:17:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234834, Retrieved Thu, 16 May 2024 03:17:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2014-05-12 14:35:02] [9093db98244a413fd54e2b1bc98c9896] [Current]
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Dataseries X:
71,97
72,32
74,07
77,95
81,75
80,81
74,1
71,37
75,21
76,9
74,44
74,76
76,23
76,97
78,4
78,6
80,08
81,12
80,31
84,59
81,34
80,95
80,48
75,26
76,32
78,92
80,47
83,14
85,42
81,53
87,31
86,01
85,1
79,91
78,6
78,6
79,37
82,89
84,43
85,32
87,71
84,68
80,62
84,79
85,49
81,68
77,69
78,31
79,18
80,91
83,91
86,3
89,76
85,11
83,81
85,36
85,89
82,59
80,87
80,27
81,36
84,81
90,3
95,43
97,59
97,8
99,48
97,52
104,39
97,74
91,37
92,42
96,9
101,58
105,46
110,06
107,9
102,87
96,28
98,59
103,22
98,6
91,79
93,83
95,17
95,19
99,44
109,18
109,15
109,72
108,41
102,96
107,64
97,28
97,25
91,84
94,12
97,86
98,83
102,29
104,49
102,11
102,14
101,28
101,21
94,2
88,47
88,08
88,02
92,95
97,05
101,44
100,34
99,98
94,17
94,54
95,12
98,04
93,72
93,83
93,03
95,81
99,1
100,12
100,67
103,87
102,39
107,21
105,71
99,79
96,12
96,17
97,23
98,08
99,84
99,72
99,92
102,7
102,06
102,36
102,43
100,6
98,4
98,61
103,03
104,7
107,45
109,67
110,54
112,05
113,19
114,2
112,56
107,36
103,93
103,83
104,74
107,5
109,53
109,42
108,6
110,72
105,1
105,19
102,55
101,25
101,56
101,62
101,7
102,94
104,37
106,93
107,82
110,83
106,86
109,46
108,8
108,69
107,77
108,64
108,5
113,84
114,59
116,27
113,63
112,29
110,31
108,47
110,67
109,1
107,02
108,12
106,69
109,87
110,82
114,14
113,31
115,16
111,06
111,13
115,96
117,57
114,69
119,42
118,4
123,32
123,39
127,04
129,35
127,12
122,1
120,22
121,53
119,01
114,27
114,46




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234834&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234834&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234834&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
171.97NANA-3.86928NA
272.32NANA-1.27431NA
374.07NANA0.80067NA
477.95NANA3.38922NA
581.75NANA3.8478NA
680.81NANA3.26346NA
774.176.592175.64830.943734-2.49207
871.3777.161676.01961.14199-5.79158
975.2178.36476.39371.97023-3.15398
1076.975.327976.6012-1.273331.57208
1174.4472.220276.5587-4.338552.2198
1274.7671.900476.5021-4.601662.85958
1376.2372.904576.7738-3.869283.32553
1476.9776.30977.5833-1.274310.660972
1578.479.190378.38960.80067-0.790253
1678.682.20378.81383.38922-3.60297
1780.0883.08279.23423.8478-3.00197
1881.1282.770179.50673.26346-1.65013
1980.3180.47579.53120.943734-0.164984
2084.5980.758279.61621.141993.83176
2181.3481.75479.78381.97023-0.413979
2280.9578.785880.0592-1.273332.16416
2380.4876.132380.4708-4.338554.34771
2475.2676.108880.7104-4.60166-0.848758
2576.3277.149981.0192-3.86928-0.829886
2678.9280.095781.37-1.27431-1.17569
2780.4782.386581.58580.80067-1.9165
2883.1485.088481.69923.38922-1.94839
2985.4285.425381.57753.8478-0.00530229
3081.5384.901881.63833.26346-3.3718
3187.3182.848381.90460.9437344.46168
3286.0183.339182.19711.141992.67092
3385.184.497782.52751.970230.602271
3479.9181.5182.7833-1.27333-1.60001
3578.678.63182.9696-4.33855-0.0310376
3678.678.594683.1962-4.601660.0054085
3779.3779.179583.0488-3.869280.190531
3882.8981.444982.7192-1.274311.44514
3984.4383.485382.68460.800670.944747
4085.3286.163882.77463.38922-0.843807
4187.7186.658282.81043.84781.05178
4284.6886.023982.76043.26346-1.34388
4380.6283.684282.74040.943734-3.06415
4484.7983.79282.651.141990.998007
4585.4984.516182.54581.970230.973938
4681.6881.291782.565-1.273330.388325
4777.6978.352782.6913-4.33855-0.662704
4878.3178.192982.7946-4.601660.117075
4979.1879.076182.9454-3.869280.103864
5080.9181.827883.1021-1.27431-0.917778
5183.9183.943283.14250.80067-0.0331699
5286.386.586383.19713.38922-0.286307
5389.7687.215383.36753.84782.5447
5485.1186.845183.58173.26346-1.73513
5583.8184.697983.75420.943734-0.8879
5685.3685.149584.00751.141990.210507
5785.8986.406584.43621.97023-0.516479
5882.5983.809685.0829-1.27333-1.21959
5980.8781.45185.7896-4.33855-0.581038
6080.2782.042986.6446-4.60166-1.77292
6181.3683.95787.8262-3.86928-2.59697
6284.8187.711588.9858-1.27431-2.90153
6390.391.06490.26330.80067-0.764003
6495.4395.054691.66543.389220.375359
6597.5996.58292.73423.84781.00803
6697.896.941493.67793.263460.858619
6799.4895.775494.83170.9437343.7046
6897.5297.319996.17791.141990.20009
69104.3999.478697.50831.970234.91144
7097.7497.476398.7496-1.273330.263742
7191.3795.450299.7888-4.33855-4.0802
7292.4295.8279100.43-4.60166-3.40792
7396.996.6382100.508-3.869280.261781
74101.5899.1444100.419-1.274312.43556
75105.46101.215100.4150.800674.24475
76110.06103.791100.4023.389226.26911
77107.9104.303100.4553.84783.5972
78102.87103.795100.5313.26346-0.924714
7996.28101.462100.5180.943734-5.18165
8098.59101.322100.181.14199-2.73158
81103.22101.63399.66251.970231.58727
8298.698.101799.375-1.273330.498325
8391.7995.051999.3904-4.33855-3.26187
8493.8395.126399.7279-4.60166-1.29626
8595.1796.6495100.519-3.86928-1.47947
8695.1999.9319101.206-1.27431-4.74194
8799.44102.373101.5720.80067-2.93317
88109.18105.091101.7023.389224.08911
89109.15105.722101.8743.84783.42803
90109.72105.282102.0193.263464.43779
91108.41102.836101.8920.9437345.57418
92102.96103.102101.961.14199-0.141577
93107.64104.016102.0451.970233.62435
9497.28100.46101.733-1.27333-3.17959
9597.2596.9131101.252-4.338550.336879
9691.8496.1388100.74-4.60166-4.29876
9794.1296.2928100.162-3.86928-2.1728
9897.8698.556599.8308-1.27431-0.696528
9998.83100.29499.49290.80067-1.46359
100102.29102.48699.09673.38922-0.195891
101104.49102.4598.60253.84782.0397
102102.11101.34398.083.263460.766536
103102.1498.612997.66920.9437343.5271
104101.2898.352497.21041.141992.92759
105101.2198.901996.93171.970232.3081
10694.295.548896.8221-1.27333-1.34876
10788.4792.275296.6138-4.33855-3.8052
10888.0891.750496.3521-4.60166-3.67042
10988.0292.06295.9312-3.86928-4.04197
11092.9594.04495.3183-1.27431-1.09403
11197.0595.584494.78380.800671.46558
112101.4498.079294.693.389223.36078
113100.3498.916695.06883.84781.42345
11499.9898.790595.52713.263461.18945
11594.1796.919295.97540.943734-2.74915
11694.5497.445396.30331.14199-2.90533
11795.1298.478196.50791.97023-3.35815
11898.0495.26596.5383-1.273332.77499
11993.7292.158596.4971-4.338551.56146
12093.8392.071396.6729-4.601661.75874
12193.0393.308297.1775-3.86928-0.278219
12295.8196.773698.0479-1.27431-0.963611
12399.199.817899.01710.80067-0.717753
124100.12102.9299.53123.38922-2.80047
125100.67103.55299.70423.8478-2.88197
126103.87103.16599.90173.263460.704869
127102.39101.118100.1740.9437341.2721
128107.21101.586100.4441.141995.62426
129105.71102.539100.5691.970233.1706
13099.7999.31100.583-1.273330.479992
13196.1296.1969100.535-4.33855-0.0768709
13296.1795.8538100.455-4.601660.316242
13397.2396.5236100.393-3.869280.706364
13498.0898.9028100.177-1.27431-0.822778
13599.84100.63999.83830.80067-0.799003
13699.72103.12599.73543.38922-3.40464
13799.92103.71299.86423.8478-3.79197
138102.7103.324100.0613.26346-0.624297
139102.06101.348100.4040.9437340.7121
140102.36102.064100.9221.141990.29634
141102.43103.485101.5151.97023-1.05481
142100.6100.973102.246-1.27333-0.372925
14398.498.7648103.103-4.33855-0.364788
14498.6199.3338103.935-4.60166-0.723758
145103.03100.919104.789-3.869282.11053
146104.7104.472105.746-1.274310.228472
147107.45107.462106.6610.80067-0.0119199
148109.67110.754107.3653.38922-1.08422
149110.54111.725107.8773.8478-1.18489
150112.05111.588108.3253.263460.461536
151113.19109.557108.6140.9437343.63252
152114.2109.944108.8021.141994.25634
153112.56110.975109.0051.970231.58477
154107.36107.808109.081-1.27333-0.447925
155103.93104.651108.99-4.33855-0.721454
156103.83104.252108.854-4.60166-0.422092
157104.74104.592108.461-3.869280.148031
158107.5106.474107.749-1.274311.02556
159109.53107.757106.9560.800671.77308
160109.42109.674106.2853.38922-0.253807
161108.6109.779105.9313.8478-1.17905
162110.72109.004105.743.263461.71612
163105.1106.465105.5220.943734-1.3654
164105.19106.347105.2051.14199-1.15699
165102.55106.77104.81.97023-4.22023
166101.25103.208104.481-1.27333-1.95792
167101.56100.006104.345-4.338551.55355
168101.6299.7154104.317-4.601661.90458
169101.7100.526104.395-3.869281.17428
170102.94103.372104.646-1.27431-0.431944
171104.37105.885105.0850.80067-1.51525
172106.93109.044105.6553.38922-2.11422
173107.82110.072106.2243.8478-2.25155
174110.83110.038106.7753.263460.791536
175106.86108.295107.3510.943734-1.43457
176109.46109.23108.0881.141990.229673
177108.8110.939108.9681.97023-2.13856
178108.69108.51109.783-1.273330.179992
179107.77106.076110.415-4.338551.69396
180108.64106.116110.718-4.601662.52416
181108.5107.053110.922-3.869281.4472
182113.84109.75111.025-1.274314.08972
183114.59111.862111.0610.800672.72808
184116.27114.545111.1563.389221.72453
185113.63114.99111.1423.8478-1.35989
186112.29114.353111.0893.26346-2.06263
187110.31111.936110.9920.943734-1.62582
188108.47111.893110.7511.14199-3.42324
189110.67112.399110.4291.97023-1.72898
190109.1108.91110.183-1.273330.190408
191107.02105.742110.081-4.338551.27771
192108.12105.585110.187-4.601662.53458
193106.69106.469110.338-3.869280.221364
194109.87109.206110.48-1.274310.664306
195110.82111.612110.8110.80067-0.79192
196114.14114.774111.3853.38922-0.633807
197113.31115.905112.0573.8478-2.59489
198115.16116.111112.8483.26346-0.950964
199111.06114.75113.8060.943734-3.68998
200111.13115.997114.8551.14199-4.86658
201115.96117.909115.9391.97023-1.94898
202117.57115.727117-1.273331.84333
203114.69113.867118.206-4.338550.822712
204119.42114.771119.372-4.601664.64916
205118.4116.462120.331-3.869281.93845
206123.32119.895121.17-1.274313.42472
207123.39122.581121.780.800670.808913
208127.04125.462122.0723.389221.57828
209129.35125.963122.1153.84783.3872
210127.12125.154121.8913.263461.9657
211122.1NANA0.943734NA
212120.22NANA1.14199NA
213121.53NANA1.97023NA
214119.01NANA-1.27333NA
215114.27NANA-4.33855NA
216114.46NANA-4.60166NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 71.97 & NA & NA & -3.86928 & NA \tabularnewline
2 & 72.32 & NA & NA & -1.27431 & NA \tabularnewline
3 & 74.07 & NA & NA & 0.80067 & NA \tabularnewline
4 & 77.95 & NA & NA & 3.38922 & NA \tabularnewline
5 & 81.75 & NA & NA & 3.8478 & NA \tabularnewline
6 & 80.81 & NA & NA & 3.26346 & NA \tabularnewline
7 & 74.1 & 76.5921 & 75.6483 & 0.943734 & -2.49207 \tabularnewline
8 & 71.37 & 77.1616 & 76.0196 & 1.14199 & -5.79158 \tabularnewline
9 & 75.21 & 78.364 & 76.3937 & 1.97023 & -3.15398 \tabularnewline
10 & 76.9 & 75.3279 & 76.6012 & -1.27333 & 1.57208 \tabularnewline
11 & 74.44 & 72.2202 & 76.5587 & -4.33855 & 2.2198 \tabularnewline
12 & 74.76 & 71.9004 & 76.5021 & -4.60166 & 2.85958 \tabularnewline
13 & 76.23 & 72.9045 & 76.7738 & -3.86928 & 3.32553 \tabularnewline
14 & 76.97 & 76.309 & 77.5833 & -1.27431 & 0.660972 \tabularnewline
15 & 78.4 & 79.1903 & 78.3896 & 0.80067 & -0.790253 \tabularnewline
16 & 78.6 & 82.203 & 78.8138 & 3.38922 & -3.60297 \tabularnewline
17 & 80.08 & 83.082 & 79.2342 & 3.8478 & -3.00197 \tabularnewline
18 & 81.12 & 82.7701 & 79.5067 & 3.26346 & -1.65013 \tabularnewline
19 & 80.31 & 80.475 & 79.5312 & 0.943734 & -0.164984 \tabularnewline
20 & 84.59 & 80.7582 & 79.6162 & 1.14199 & 3.83176 \tabularnewline
21 & 81.34 & 81.754 & 79.7838 & 1.97023 & -0.413979 \tabularnewline
22 & 80.95 & 78.7858 & 80.0592 & -1.27333 & 2.16416 \tabularnewline
23 & 80.48 & 76.1323 & 80.4708 & -4.33855 & 4.34771 \tabularnewline
24 & 75.26 & 76.1088 & 80.7104 & -4.60166 & -0.848758 \tabularnewline
25 & 76.32 & 77.1499 & 81.0192 & -3.86928 & -0.829886 \tabularnewline
26 & 78.92 & 80.0957 & 81.37 & -1.27431 & -1.17569 \tabularnewline
27 & 80.47 & 82.3865 & 81.5858 & 0.80067 & -1.9165 \tabularnewline
28 & 83.14 & 85.0884 & 81.6992 & 3.38922 & -1.94839 \tabularnewline
29 & 85.42 & 85.4253 & 81.5775 & 3.8478 & -0.00530229 \tabularnewline
30 & 81.53 & 84.9018 & 81.6383 & 3.26346 & -3.3718 \tabularnewline
31 & 87.31 & 82.8483 & 81.9046 & 0.943734 & 4.46168 \tabularnewline
32 & 86.01 & 83.3391 & 82.1971 & 1.14199 & 2.67092 \tabularnewline
33 & 85.1 & 84.4977 & 82.5275 & 1.97023 & 0.602271 \tabularnewline
34 & 79.91 & 81.51 & 82.7833 & -1.27333 & -1.60001 \tabularnewline
35 & 78.6 & 78.631 & 82.9696 & -4.33855 & -0.0310376 \tabularnewline
36 & 78.6 & 78.5946 & 83.1962 & -4.60166 & 0.0054085 \tabularnewline
37 & 79.37 & 79.1795 & 83.0488 & -3.86928 & 0.190531 \tabularnewline
38 & 82.89 & 81.4449 & 82.7192 & -1.27431 & 1.44514 \tabularnewline
39 & 84.43 & 83.4853 & 82.6846 & 0.80067 & 0.944747 \tabularnewline
40 & 85.32 & 86.1638 & 82.7746 & 3.38922 & -0.843807 \tabularnewline
41 & 87.71 & 86.6582 & 82.8104 & 3.8478 & 1.05178 \tabularnewline
42 & 84.68 & 86.0239 & 82.7604 & 3.26346 & -1.34388 \tabularnewline
43 & 80.62 & 83.6842 & 82.7404 & 0.943734 & -3.06415 \tabularnewline
44 & 84.79 & 83.792 & 82.65 & 1.14199 & 0.998007 \tabularnewline
45 & 85.49 & 84.5161 & 82.5458 & 1.97023 & 0.973938 \tabularnewline
46 & 81.68 & 81.2917 & 82.565 & -1.27333 & 0.388325 \tabularnewline
47 & 77.69 & 78.3527 & 82.6913 & -4.33855 & -0.662704 \tabularnewline
48 & 78.31 & 78.1929 & 82.7946 & -4.60166 & 0.117075 \tabularnewline
49 & 79.18 & 79.0761 & 82.9454 & -3.86928 & 0.103864 \tabularnewline
50 & 80.91 & 81.8278 & 83.1021 & -1.27431 & -0.917778 \tabularnewline
51 & 83.91 & 83.9432 & 83.1425 & 0.80067 & -0.0331699 \tabularnewline
52 & 86.3 & 86.5863 & 83.1971 & 3.38922 & -0.286307 \tabularnewline
53 & 89.76 & 87.2153 & 83.3675 & 3.8478 & 2.5447 \tabularnewline
54 & 85.11 & 86.8451 & 83.5817 & 3.26346 & -1.73513 \tabularnewline
55 & 83.81 & 84.6979 & 83.7542 & 0.943734 & -0.8879 \tabularnewline
56 & 85.36 & 85.1495 & 84.0075 & 1.14199 & 0.210507 \tabularnewline
57 & 85.89 & 86.4065 & 84.4362 & 1.97023 & -0.516479 \tabularnewline
58 & 82.59 & 83.8096 & 85.0829 & -1.27333 & -1.21959 \tabularnewline
59 & 80.87 & 81.451 & 85.7896 & -4.33855 & -0.581038 \tabularnewline
60 & 80.27 & 82.0429 & 86.6446 & -4.60166 & -1.77292 \tabularnewline
61 & 81.36 & 83.957 & 87.8262 & -3.86928 & -2.59697 \tabularnewline
62 & 84.81 & 87.7115 & 88.9858 & -1.27431 & -2.90153 \tabularnewline
63 & 90.3 & 91.064 & 90.2633 & 0.80067 & -0.764003 \tabularnewline
64 & 95.43 & 95.0546 & 91.6654 & 3.38922 & 0.375359 \tabularnewline
65 & 97.59 & 96.582 & 92.7342 & 3.8478 & 1.00803 \tabularnewline
66 & 97.8 & 96.9414 & 93.6779 & 3.26346 & 0.858619 \tabularnewline
67 & 99.48 & 95.7754 & 94.8317 & 0.943734 & 3.7046 \tabularnewline
68 & 97.52 & 97.3199 & 96.1779 & 1.14199 & 0.20009 \tabularnewline
69 & 104.39 & 99.4786 & 97.5083 & 1.97023 & 4.91144 \tabularnewline
70 & 97.74 & 97.4763 & 98.7496 & -1.27333 & 0.263742 \tabularnewline
71 & 91.37 & 95.4502 & 99.7888 & -4.33855 & -4.0802 \tabularnewline
72 & 92.42 & 95.8279 & 100.43 & -4.60166 & -3.40792 \tabularnewline
73 & 96.9 & 96.6382 & 100.508 & -3.86928 & 0.261781 \tabularnewline
74 & 101.58 & 99.1444 & 100.419 & -1.27431 & 2.43556 \tabularnewline
75 & 105.46 & 101.215 & 100.415 & 0.80067 & 4.24475 \tabularnewline
76 & 110.06 & 103.791 & 100.402 & 3.38922 & 6.26911 \tabularnewline
77 & 107.9 & 104.303 & 100.455 & 3.8478 & 3.5972 \tabularnewline
78 & 102.87 & 103.795 & 100.531 & 3.26346 & -0.924714 \tabularnewline
79 & 96.28 & 101.462 & 100.518 & 0.943734 & -5.18165 \tabularnewline
80 & 98.59 & 101.322 & 100.18 & 1.14199 & -2.73158 \tabularnewline
81 & 103.22 & 101.633 & 99.6625 & 1.97023 & 1.58727 \tabularnewline
82 & 98.6 & 98.1017 & 99.375 & -1.27333 & 0.498325 \tabularnewline
83 & 91.79 & 95.0519 & 99.3904 & -4.33855 & -3.26187 \tabularnewline
84 & 93.83 & 95.1263 & 99.7279 & -4.60166 & -1.29626 \tabularnewline
85 & 95.17 & 96.6495 & 100.519 & -3.86928 & -1.47947 \tabularnewline
86 & 95.19 & 99.9319 & 101.206 & -1.27431 & -4.74194 \tabularnewline
87 & 99.44 & 102.373 & 101.572 & 0.80067 & -2.93317 \tabularnewline
88 & 109.18 & 105.091 & 101.702 & 3.38922 & 4.08911 \tabularnewline
89 & 109.15 & 105.722 & 101.874 & 3.8478 & 3.42803 \tabularnewline
90 & 109.72 & 105.282 & 102.019 & 3.26346 & 4.43779 \tabularnewline
91 & 108.41 & 102.836 & 101.892 & 0.943734 & 5.57418 \tabularnewline
92 & 102.96 & 103.102 & 101.96 & 1.14199 & -0.141577 \tabularnewline
93 & 107.64 & 104.016 & 102.045 & 1.97023 & 3.62435 \tabularnewline
94 & 97.28 & 100.46 & 101.733 & -1.27333 & -3.17959 \tabularnewline
95 & 97.25 & 96.9131 & 101.252 & -4.33855 & 0.336879 \tabularnewline
96 & 91.84 & 96.1388 & 100.74 & -4.60166 & -4.29876 \tabularnewline
97 & 94.12 & 96.2928 & 100.162 & -3.86928 & -2.1728 \tabularnewline
98 & 97.86 & 98.5565 & 99.8308 & -1.27431 & -0.696528 \tabularnewline
99 & 98.83 & 100.294 & 99.4929 & 0.80067 & -1.46359 \tabularnewline
100 & 102.29 & 102.486 & 99.0967 & 3.38922 & -0.195891 \tabularnewline
101 & 104.49 & 102.45 & 98.6025 & 3.8478 & 2.0397 \tabularnewline
102 & 102.11 & 101.343 & 98.08 & 3.26346 & 0.766536 \tabularnewline
103 & 102.14 & 98.6129 & 97.6692 & 0.943734 & 3.5271 \tabularnewline
104 & 101.28 & 98.3524 & 97.2104 & 1.14199 & 2.92759 \tabularnewline
105 & 101.21 & 98.9019 & 96.9317 & 1.97023 & 2.3081 \tabularnewline
106 & 94.2 & 95.5488 & 96.8221 & -1.27333 & -1.34876 \tabularnewline
107 & 88.47 & 92.2752 & 96.6138 & -4.33855 & -3.8052 \tabularnewline
108 & 88.08 & 91.7504 & 96.3521 & -4.60166 & -3.67042 \tabularnewline
109 & 88.02 & 92.062 & 95.9312 & -3.86928 & -4.04197 \tabularnewline
110 & 92.95 & 94.044 & 95.3183 & -1.27431 & -1.09403 \tabularnewline
111 & 97.05 & 95.5844 & 94.7838 & 0.80067 & 1.46558 \tabularnewline
112 & 101.44 & 98.0792 & 94.69 & 3.38922 & 3.36078 \tabularnewline
113 & 100.34 & 98.9166 & 95.0688 & 3.8478 & 1.42345 \tabularnewline
114 & 99.98 & 98.7905 & 95.5271 & 3.26346 & 1.18945 \tabularnewline
115 & 94.17 & 96.9192 & 95.9754 & 0.943734 & -2.74915 \tabularnewline
116 & 94.54 & 97.4453 & 96.3033 & 1.14199 & -2.90533 \tabularnewline
117 & 95.12 & 98.4781 & 96.5079 & 1.97023 & -3.35815 \tabularnewline
118 & 98.04 & 95.265 & 96.5383 & -1.27333 & 2.77499 \tabularnewline
119 & 93.72 & 92.1585 & 96.4971 & -4.33855 & 1.56146 \tabularnewline
120 & 93.83 & 92.0713 & 96.6729 & -4.60166 & 1.75874 \tabularnewline
121 & 93.03 & 93.3082 & 97.1775 & -3.86928 & -0.278219 \tabularnewline
122 & 95.81 & 96.7736 & 98.0479 & -1.27431 & -0.963611 \tabularnewline
123 & 99.1 & 99.8178 & 99.0171 & 0.80067 & -0.717753 \tabularnewline
124 & 100.12 & 102.92 & 99.5312 & 3.38922 & -2.80047 \tabularnewline
125 & 100.67 & 103.552 & 99.7042 & 3.8478 & -2.88197 \tabularnewline
126 & 103.87 & 103.165 & 99.9017 & 3.26346 & 0.704869 \tabularnewline
127 & 102.39 & 101.118 & 100.174 & 0.943734 & 1.2721 \tabularnewline
128 & 107.21 & 101.586 & 100.444 & 1.14199 & 5.62426 \tabularnewline
129 & 105.71 & 102.539 & 100.569 & 1.97023 & 3.1706 \tabularnewline
130 & 99.79 & 99.31 & 100.583 & -1.27333 & 0.479992 \tabularnewline
131 & 96.12 & 96.1969 & 100.535 & -4.33855 & -0.0768709 \tabularnewline
132 & 96.17 & 95.8538 & 100.455 & -4.60166 & 0.316242 \tabularnewline
133 & 97.23 & 96.5236 & 100.393 & -3.86928 & 0.706364 \tabularnewline
134 & 98.08 & 98.9028 & 100.177 & -1.27431 & -0.822778 \tabularnewline
135 & 99.84 & 100.639 & 99.8383 & 0.80067 & -0.799003 \tabularnewline
136 & 99.72 & 103.125 & 99.7354 & 3.38922 & -3.40464 \tabularnewline
137 & 99.92 & 103.712 & 99.8642 & 3.8478 & -3.79197 \tabularnewline
138 & 102.7 & 103.324 & 100.061 & 3.26346 & -0.624297 \tabularnewline
139 & 102.06 & 101.348 & 100.404 & 0.943734 & 0.7121 \tabularnewline
140 & 102.36 & 102.064 & 100.922 & 1.14199 & 0.29634 \tabularnewline
141 & 102.43 & 103.485 & 101.515 & 1.97023 & -1.05481 \tabularnewline
142 & 100.6 & 100.973 & 102.246 & -1.27333 & -0.372925 \tabularnewline
143 & 98.4 & 98.7648 & 103.103 & -4.33855 & -0.364788 \tabularnewline
144 & 98.61 & 99.3338 & 103.935 & -4.60166 & -0.723758 \tabularnewline
145 & 103.03 & 100.919 & 104.789 & -3.86928 & 2.11053 \tabularnewline
146 & 104.7 & 104.472 & 105.746 & -1.27431 & 0.228472 \tabularnewline
147 & 107.45 & 107.462 & 106.661 & 0.80067 & -0.0119199 \tabularnewline
148 & 109.67 & 110.754 & 107.365 & 3.38922 & -1.08422 \tabularnewline
149 & 110.54 & 111.725 & 107.877 & 3.8478 & -1.18489 \tabularnewline
150 & 112.05 & 111.588 & 108.325 & 3.26346 & 0.461536 \tabularnewline
151 & 113.19 & 109.557 & 108.614 & 0.943734 & 3.63252 \tabularnewline
152 & 114.2 & 109.944 & 108.802 & 1.14199 & 4.25634 \tabularnewline
153 & 112.56 & 110.975 & 109.005 & 1.97023 & 1.58477 \tabularnewline
154 & 107.36 & 107.808 & 109.081 & -1.27333 & -0.447925 \tabularnewline
155 & 103.93 & 104.651 & 108.99 & -4.33855 & -0.721454 \tabularnewline
156 & 103.83 & 104.252 & 108.854 & -4.60166 & -0.422092 \tabularnewline
157 & 104.74 & 104.592 & 108.461 & -3.86928 & 0.148031 \tabularnewline
158 & 107.5 & 106.474 & 107.749 & -1.27431 & 1.02556 \tabularnewline
159 & 109.53 & 107.757 & 106.956 & 0.80067 & 1.77308 \tabularnewline
160 & 109.42 & 109.674 & 106.285 & 3.38922 & -0.253807 \tabularnewline
161 & 108.6 & 109.779 & 105.931 & 3.8478 & -1.17905 \tabularnewline
162 & 110.72 & 109.004 & 105.74 & 3.26346 & 1.71612 \tabularnewline
163 & 105.1 & 106.465 & 105.522 & 0.943734 & -1.3654 \tabularnewline
164 & 105.19 & 106.347 & 105.205 & 1.14199 & -1.15699 \tabularnewline
165 & 102.55 & 106.77 & 104.8 & 1.97023 & -4.22023 \tabularnewline
166 & 101.25 & 103.208 & 104.481 & -1.27333 & -1.95792 \tabularnewline
167 & 101.56 & 100.006 & 104.345 & -4.33855 & 1.55355 \tabularnewline
168 & 101.62 & 99.7154 & 104.317 & -4.60166 & 1.90458 \tabularnewline
169 & 101.7 & 100.526 & 104.395 & -3.86928 & 1.17428 \tabularnewline
170 & 102.94 & 103.372 & 104.646 & -1.27431 & -0.431944 \tabularnewline
171 & 104.37 & 105.885 & 105.085 & 0.80067 & -1.51525 \tabularnewline
172 & 106.93 & 109.044 & 105.655 & 3.38922 & -2.11422 \tabularnewline
173 & 107.82 & 110.072 & 106.224 & 3.8478 & -2.25155 \tabularnewline
174 & 110.83 & 110.038 & 106.775 & 3.26346 & 0.791536 \tabularnewline
175 & 106.86 & 108.295 & 107.351 & 0.943734 & -1.43457 \tabularnewline
176 & 109.46 & 109.23 & 108.088 & 1.14199 & 0.229673 \tabularnewline
177 & 108.8 & 110.939 & 108.968 & 1.97023 & -2.13856 \tabularnewline
178 & 108.69 & 108.51 & 109.783 & -1.27333 & 0.179992 \tabularnewline
179 & 107.77 & 106.076 & 110.415 & -4.33855 & 1.69396 \tabularnewline
180 & 108.64 & 106.116 & 110.718 & -4.60166 & 2.52416 \tabularnewline
181 & 108.5 & 107.053 & 110.922 & -3.86928 & 1.4472 \tabularnewline
182 & 113.84 & 109.75 & 111.025 & -1.27431 & 4.08972 \tabularnewline
183 & 114.59 & 111.862 & 111.061 & 0.80067 & 2.72808 \tabularnewline
184 & 116.27 & 114.545 & 111.156 & 3.38922 & 1.72453 \tabularnewline
185 & 113.63 & 114.99 & 111.142 & 3.8478 & -1.35989 \tabularnewline
186 & 112.29 & 114.353 & 111.089 & 3.26346 & -2.06263 \tabularnewline
187 & 110.31 & 111.936 & 110.992 & 0.943734 & -1.62582 \tabularnewline
188 & 108.47 & 111.893 & 110.751 & 1.14199 & -3.42324 \tabularnewline
189 & 110.67 & 112.399 & 110.429 & 1.97023 & -1.72898 \tabularnewline
190 & 109.1 & 108.91 & 110.183 & -1.27333 & 0.190408 \tabularnewline
191 & 107.02 & 105.742 & 110.081 & -4.33855 & 1.27771 \tabularnewline
192 & 108.12 & 105.585 & 110.187 & -4.60166 & 2.53458 \tabularnewline
193 & 106.69 & 106.469 & 110.338 & -3.86928 & 0.221364 \tabularnewline
194 & 109.87 & 109.206 & 110.48 & -1.27431 & 0.664306 \tabularnewline
195 & 110.82 & 111.612 & 110.811 & 0.80067 & -0.79192 \tabularnewline
196 & 114.14 & 114.774 & 111.385 & 3.38922 & -0.633807 \tabularnewline
197 & 113.31 & 115.905 & 112.057 & 3.8478 & -2.59489 \tabularnewline
198 & 115.16 & 116.111 & 112.848 & 3.26346 & -0.950964 \tabularnewline
199 & 111.06 & 114.75 & 113.806 & 0.943734 & -3.68998 \tabularnewline
200 & 111.13 & 115.997 & 114.855 & 1.14199 & -4.86658 \tabularnewline
201 & 115.96 & 117.909 & 115.939 & 1.97023 & -1.94898 \tabularnewline
202 & 117.57 & 115.727 & 117 & -1.27333 & 1.84333 \tabularnewline
203 & 114.69 & 113.867 & 118.206 & -4.33855 & 0.822712 \tabularnewline
204 & 119.42 & 114.771 & 119.372 & -4.60166 & 4.64916 \tabularnewline
205 & 118.4 & 116.462 & 120.331 & -3.86928 & 1.93845 \tabularnewline
206 & 123.32 & 119.895 & 121.17 & -1.27431 & 3.42472 \tabularnewline
207 & 123.39 & 122.581 & 121.78 & 0.80067 & 0.808913 \tabularnewline
208 & 127.04 & 125.462 & 122.072 & 3.38922 & 1.57828 \tabularnewline
209 & 129.35 & 125.963 & 122.115 & 3.8478 & 3.3872 \tabularnewline
210 & 127.12 & 125.154 & 121.891 & 3.26346 & 1.9657 \tabularnewline
211 & 122.1 & NA & NA & 0.943734 & NA \tabularnewline
212 & 120.22 & NA & NA & 1.14199 & NA \tabularnewline
213 & 121.53 & NA & NA & 1.97023 & NA \tabularnewline
214 & 119.01 & NA & NA & -1.27333 & NA \tabularnewline
215 & 114.27 & NA & NA & -4.33855 & NA \tabularnewline
216 & 114.46 & NA & NA & -4.60166 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234834&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]71.97[/C][C]NA[/C][C]NA[/C][C]-3.86928[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]72.32[/C][C]NA[/C][C]NA[/C][C]-1.27431[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]74.07[/C][C]NA[/C][C]NA[/C][C]0.80067[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]77.95[/C][C]NA[/C][C]NA[/C][C]3.38922[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]81.75[/C][C]NA[/C][C]NA[/C][C]3.8478[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]80.81[/C][C]NA[/C][C]NA[/C][C]3.26346[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]74.1[/C][C]76.5921[/C][C]75.6483[/C][C]0.943734[/C][C]-2.49207[/C][/ROW]
[ROW][C]8[/C][C]71.37[/C][C]77.1616[/C][C]76.0196[/C][C]1.14199[/C][C]-5.79158[/C][/ROW]
[ROW][C]9[/C][C]75.21[/C][C]78.364[/C][C]76.3937[/C][C]1.97023[/C][C]-3.15398[/C][/ROW]
[ROW][C]10[/C][C]76.9[/C][C]75.3279[/C][C]76.6012[/C][C]-1.27333[/C][C]1.57208[/C][/ROW]
[ROW][C]11[/C][C]74.44[/C][C]72.2202[/C][C]76.5587[/C][C]-4.33855[/C][C]2.2198[/C][/ROW]
[ROW][C]12[/C][C]74.76[/C][C]71.9004[/C][C]76.5021[/C][C]-4.60166[/C][C]2.85958[/C][/ROW]
[ROW][C]13[/C][C]76.23[/C][C]72.9045[/C][C]76.7738[/C][C]-3.86928[/C][C]3.32553[/C][/ROW]
[ROW][C]14[/C][C]76.97[/C][C]76.309[/C][C]77.5833[/C][C]-1.27431[/C][C]0.660972[/C][/ROW]
[ROW][C]15[/C][C]78.4[/C][C]79.1903[/C][C]78.3896[/C][C]0.80067[/C][C]-0.790253[/C][/ROW]
[ROW][C]16[/C][C]78.6[/C][C]82.203[/C][C]78.8138[/C][C]3.38922[/C][C]-3.60297[/C][/ROW]
[ROW][C]17[/C][C]80.08[/C][C]83.082[/C][C]79.2342[/C][C]3.8478[/C][C]-3.00197[/C][/ROW]
[ROW][C]18[/C][C]81.12[/C][C]82.7701[/C][C]79.5067[/C][C]3.26346[/C][C]-1.65013[/C][/ROW]
[ROW][C]19[/C][C]80.31[/C][C]80.475[/C][C]79.5312[/C][C]0.943734[/C][C]-0.164984[/C][/ROW]
[ROW][C]20[/C][C]84.59[/C][C]80.7582[/C][C]79.6162[/C][C]1.14199[/C][C]3.83176[/C][/ROW]
[ROW][C]21[/C][C]81.34[/C][C]81.754[/C][C]79.7838[/C][C]1.97023[/C][C]-0.413979[/C][/ROW]
[ROW][C]22[/C][C]80.95[/C][C]78.7858[/C][C]80.0592[/C][C]-1.27333[/C][C]2.16416[/C][/ROW]
[ROW][C]23[/C][C]80.48[/C][C]76.1323[/C][C]80.4708[/C][C]-4.33855[/C][C]4.34771[/C][/ROW]
[ROW][C]24[/C][C]75.26[/C][C]76.1088[/C][C]80.7104[/C][C]-4.60166[/C][C]-0.848758[/C][/ROW]
[ROW][C]25[/C][C]76.32[/C][C]77.1499[/C][C]81.0192[/C][C]-3.86928[/C][C]-0.829886[/C][/ROW]
[ROW][C]26[/C][C]78.92[/C][C]80.0957[/C][C]81.37[/C][C]-1.27431[/C][C]-1.17569[/C][/ROW]
[ROW][C]27[/C][C]80.47[/C][C]82.3865[/C][C]81.5858[/C][C]0.80067[/C][C]-1.9165[/C][/ROW]
[ROW][C]28[/C][C]83.14[/C][C]85.0884[/C][C]81.6992[/C][C]3.38922[/C][C]-1.94839[/C][/ROW]
[ROW][C]29[/C][C]85.42[/C][C]85.4253[/C][C]81.5775[/C][C]3.8478[/C][C]-0.00530229[/C][/ROW]
[ROW][C]30[/C][C]81.53[/C][C]84.9018[/C][C]81.6383[/C][C]3.26346[/C][C]-3.3718[/C][/ROW]
[ROW][C]31[/C][C]87.31[/C][C]82.8483[/C][C]81.9046[/C][C]0.943734[/C][C]4.46168[/C][/ROW]
[ROW][C]32[/C][C]86.01[/C][C]83.3391[/C][C]82.1971[/C][C]1.14199[/C][C]2.67092[/C][/ROW]
[ROW][C]33[/C][C]85.1[/C][C]84.4977[/C][C]82.5275[/C][C]1.97023[/C][C]0.602271[/C][/ROW]
[ROW][C]34[/C][C]79.91[/C][C]81.51[/C][C]82.7833[/C][C]-1.27333[/C][C]-1.60001[/C][/ROW]
[ROW][C]35[/C][C]78.6[/C][C]78.631[/C][C]82.9696[/C][C]-4.33855[/C][C]-0.0310376[/C][/ROW]
[ROW][C]36[/C][C]78.6[/C][C]78.5946[/C][C]83.1962[/C][C]-4.60166[/C][C]0.0054085[/C][/ROW]
[ROW][C]37[/C][C]79.37[/C][C]79.1795[/C][C]83.0488[/C][C]-3.86928[/C][C]0.190531[/C][/ROW]
[ROW][C]38[/C][C]82.89[/C][C]81.4449[/C][C]82.7192[/C][C]-1.27431[/C][C]1.44514[/C][/ROW]
[ROW][C]39[/C][C]84.43[/C][C]83.4853[/C][C]82.6846[/C][C]0.80067[/C][C]0.944747[/C][/ROW]
[ROW][C]40[/C][C]85.32[/C][C]86.1638[/C][C]82.7746[/C][C]3.38922[/C][C]-0.843807[/C][/ROW]
[ROW][C]41[/C][C]87.71[/C][C]86.6582[/C][C]82.8104[/C][C]3.8478[/C][C]1.05178[/C][/ROW]
[ROW][C]42[/C][C]84.68[/C][C]86.0239[/C][C]82.7604[/C][C]3.26346[/C][C]-1.34388[/C][/ROW]
[ROW][C]43[/C][C]80.62[/C][C]83.6842[/C][C]82.7404[/C][C]0.943734[/C][C]-3.06415[/C][/ROW]
[ROW][C]44[/C][C]84.79[/C][C]83.792[/C][C]82.65[/C][C]1.14199[/C][C]0.998007[/C][/ROW]
[ROW][C]45[/C][C]85.49[/C][C]84.5161[/C][C]82.5458[/C][C]1.97023[/C][C]0.973938[/C][/ROW]
[ROW][C]46[/C][C]81.68[/C][C]81.2917[/C][C]82.565[/C][C]-1.27333[/C][C]0.388325[/C][/ROW]
[ROW][C]47[/C][C]77.69[/C][C]78.3527[/C][C]82.6913[/C][C]-4.33855[/C][C]-0.662704[/C][/ROW]
[ROW][C]48[/C][C]78.31[/C][C]78.1929[/C][C]82.7946[/C][C]-4.60166[/C][C]0.117075[/C][/ROW]
[ROW][C]49[/C][C]79.18[/C][C]79.0761[/C][C]82.9454[/C][C]-3.86928[/C][C]0.103864[/C][/ROW]
[ROW][C]50[/C][C]80.91[/C][C]81.8278[/C][C]83.1021[/C][C]-1.27431[/C][C]-0.917778[/C][/ROW]
[ROW][C]51[/C][C]83.91[/C][C]83.9432[/C][C]83.1425[/C][C]0.80067[/C][C]-0.0331699[/C][/ROW]
[ROW][C]52[/C][C]86.3[/C][C]86.5863[/C][C]83.1971[/C][C]3.38922[/C][C]-0.286307[/C][/ROW]
[ROW][C]53[/C][C]89.76[/C][C]87.2153[/C][C]83.3675[/C][C]3.8478[/C][C]2.5447[/C][/ROW]
[ROW][C]54[/C][C]85.11[/C][C]86.8451[/C][C]83.5817[/C][C]3.26346[/C][C]-1.73513[/C][/ROW]
[ROW][C]55[/C][C]83.81[/C][C]84.6979[/C][C]83.7542[/C][C]0.943734[/C][C]-0.8879[/C][/ROW]
[ROW][C]56[/C][C]85.36[/C][C]85.1495[/C][C]84.0075[/C][C]1.14199[/C][C]0.210507[/C][/ROW]
[ROW][C]57[/C][C]85.89[/C][C]86.4065[/C][C]84.4362[/C][C]1.97023[/C][C]-0.516479[/C][/ROW]
[ROW][C]58[/C][C]82.59[/C][C]83.8096[/C][C]85.0829[/C][C]-1.27333[/C][C]-1.21959[/C][/ROW]
[ROW][C]59[/C][C]80.87[/C][C]81.451[/C][C]85.7896[/C][C]-4.33855[/C][C]-0.581038[/C][/ROW]
[ROW][C]60[/C][C]80.27[/C][C]82.0429[/C][C]86.6446[/C][C]-4.60166[/C][C]-1.77292[/C][/ROW]
[ROW][C]61[/C][C]81.36[/C][C]83.957[/C][C]87.8262[/C][C]-3.86928[/C][C]-2.59697[/C][/ROW]
[ROW][C]62[/C][C]84.81[/C][C]87.7115[/C][C]88.9858[/C][C]-1.27431[/C][C]-2.90153[/C][/ROW]
[ROW][C]63[/C][C]90.3[/C][C]91.064[/C][C]90.2633[/C][C]0.80067[/C][C]-0.764003[/C][/ROW]
[ROW][C]64[/C][C]95.43[/C][C]95.0546[/C][C]91.6654[/C][C]3.38922[/C][C]0.375359[/C][/ROW]
[ROW][C]65[/C][C]97.59[/C][C]96.582[/C][C]92.7342[/C][C]3.8478[/C][C]1.00803[/C][/ROW]
[ROW][C]66[/C][C]97.8[/C][C]96.9414[/C][C]93.6779[/C][C]3.26346[/C][C]0.858619[/C][/ROW]
[ROW][C]67[/C][C]99.48[/C][C]95.7754[/C][C]94.8317[/C][C]0.943734[/C][C]3.7046[/C][/ROW]
[ROW][C]68[/C][C]97.52[/C][C]97.3199[/C][C]96.1779[/C][C]1.14199[/C][C]0.20009[/C][/ROW]
[ROW][C]69[/C][C]104.39[/C][C]99.4786[/C][C]97.5083[/C][C]1.97023[/C][C]4.91144[/C][/ROW]
[ROW][C]70[/C][C]97.74[/C][C]97.4763[/C][C]98.7496[/C][C]-1.27333[/C][C]0.263742[/C][/ROW]
[ROW][C]71[/C][C]91.37[/C][C]95.4502[/C][C]99.7888[/C][C]-4.33855[/C][C]-4.0802[/C][/ROW]
[ROW][C]72[/C][C]92.42[/C][C]95.8279[/C][C]100.43[/C][C]-4.60166[/C][C]-3.40792[/C][/ROW]
[ROW][C]73[/C][C]96.9[/C][C]96.6382[/C][C]100.508[/C][C]-3.86928[/C][C]0.261781[/C][/ROW]
[ROW][C]74[/C][C]101.58[/C][C]99.1444[/C][C]100.419[/C][C]-1.27431[/C][C]2.43556[/C][/ROW]
[ROW][C]75[/C][C]105.46[/C][C]101.215[/C][C]100.415[/C][C]0.80067[/C][C]4.24475[/C][/ROW]
[ROW][C]76[/C][C]110.06[/C][C]103.791[/C][C]100.402[/C][C]3.38922[/C][C]6.26911[/C][/ROW]
[ROW][C]77[/C][C]107.9[/C][C]104.303[/C][C]100.455[/C][C]3.8478[/C][C]3.5972[/C][/ROW]
[ROW][C]78[/C][C]102.87[/C][C]103.795[/C][C]100.531[/C][C]3.26346[/C][C]-0.924714[/C][/ROW]
[ROW][C]79[/C][C]96.28[/C][C]101.462[/C][C]100.518[/C][C]0.943734[/C][C]-5.18165[/C][/ROW]
[ROW][C]80[/C][C]98.59[/C][C]101.322[/C][C]100.18[/C][C]1.14199[/C][C]-2.73158[/C][/ROW]
[ROW][C]81[/C][C]103.22[/C][C]101.633[/C][C]99.6625[/C][C]1.97023[/C][C]1.58727[/C][/ROW]
[ROW][C]82[/C][C]98.6[/C][C]98.1017[/C][C]99.375[/C][C]-1.27333[/C][C]0.498325[/C][/ROW]
[ROW][C]83[/C][C]91.79[/C][C]95.0519[/C][C]99.3904[/C][C]-4.33855[/C][C]-3.26187[/C][/ROW]
[ROW][C]84[/C][C]93.83[/C][C]95.1263[/C][C]99.7279[/C][C]-4.60166[/C][C]-1.29626[/C][/ROW]
[ROW][C]85[/C][C]95.17[/C][C]96.6495[/C][C]100.519[/C][C]-3.86928[/C][C]-1.47947[/C][/ROW]
[ROW][C]86[/C][C]95.19[/C][C]99.9319[/C][C]101.206[/C][C]-1.27431[/C][C]-4.74194[/C][/ROW]
[ROW][C]87[/C][C]99.44[/C][C]102.373[/C][C]101.572[/C][C]0.80067[/C][C]-2.93317[/C][/ROW]
[ROW][C]88[/C][C]109.18[/C][C]105.091[/C][C]101.702[/C][C]3.38922[/C][C]4.08911[/C][/ROW]
[ROW][C]89[/C][C]109.15[/C][C]105.722[/C][C]101.874[/C][C]3.8478[/C][C]3.42803[/C][/ROW]
[ROW][C]90[/C][C]109.72[/C][C]105.282[/C][C]102.019[/C][C]3.26346[/C][C]4.43779[/C][/ROW]
[ROW][C]91[/C][C]108.41[/C][C]102.836[/C][C]101.892[/C][C]0.943734[/C][C]5.57418[/C][/ROW]
[ROW][C]92[/C][C]102.96[/C][C]103.102[/C][C]101.96[/C][C]1.14199[/C][C]-0.141577[/C][/ROW]
[ROW][C]93[/C][C]107.64[/C][C]104.016[/C][C]102.045[/C][C]1.97023[/C][C]3.62435[/C][/ROW]
[ROW][C]94[/C][C]97.28[/C][C]100.46[/C][C]101.733[/C][C]-1.27333[/C][C]-3.17959[/C][/ROW]
[ROW][C]95[/C][C]97.25[/C][C]96.9131[/C][C]101.252[/C][C]-4.33855[/C][C]0.336879[/C][/ROW]
[ROW][C]96[/C][C]91.84[/C][C]96.1388[/C][C]100.74[/C][C]-4.60166[/C][C]-4.29876[/C][/ROW]
[ROW][C]97[/C][C]94.12[/C][C]96.2928[/C][C]100.162[/C][C]-3.86928[/C][C]-2.1728[/C][/ROW]
[ROW][C]98[/C][C]97.86[/C][C]98.5565[/C][C]99.8308[/C][C]-1.27431[/C][C]-0.696528[/C][/ROW]
[ROW][C]99[/C][C]98.83[/C][C]100.294[/C][C]99.4929[/C][C]0.80067[/C][C]-1.46359[/C][/ROW]
[ROW][C]100[/C][C]102.29[/C][C]102.486[/C][C]99.0967[/C][C]3.38922[/C][C]-0.195891[/C][/ROW]
[ROW][C]101[/C][C]104.49[/C][C]102.45[/C][C]98.6025[/C][C]3.8478[/C][C]2.0397[/C][/ROW]
[ROW][C]102[/C][C]102.11[/C][C]101.343[/C][C]98.08[/C][C]3.26346[/C][C]0.766536[/C][/ROW]
[ROW][C]103[/C][C]102.14[/C][C]98.6129[/C][C]97.6692[/C][C]0.943734[/C][C]3.5271[/C][/ROW]
[ROW][C]104[/C][C]101.28[/C][C]98.3524[/C][C]97.2104[/C][C]1.14199[/C][C]2.92759[/C][/ROW]
[ROW][C]105[/C][C]101.21[/C][C]98.9019[/C][C]96.9317[/C][C]1.97023[/C][C]2.3081[/C][/ROW]
[ROW][C]106[/C][C]94.2[/C][C]95.5488[/C][C]96.8221[/C][C]-1.27333[/C][C]-1.34876[/C][/ROW]
[ROW][C]107[/C][C]88.47[/C][C]92.2752[/C][C]96.6138[/C][C]-4.33855[/C][C]-3.8052[/C][/ROW]
[ROW][C]108[/C][C]88.08[/C][C]91.7504[/C][C]96.3521[/C][C]-4.60166[/C][C]-3.67042[/C][/ROW]
[ROW][C]109[/C][C]88.02[/C][C]92.062[/C][C]95.9312[/C][C]-3.86928[/C][C]-4.04197[/C][/ROW]
[ROW][C]110[/C][C]92.95[/C][C]94.044[/C][C]95.3183[/C][C]-1.27431[/C][C]-1.09403[/C][/ROW]
[ROW][C]111[/C][C]97.05[/C][C]95.5844[/C][C]94.7838[/C][C]0.80067[/C][C]1.46558[/C][/ROW]
[ROW][C]112[/C][C]101.44[/C][C]98.0792[/C][C]94.69[/C][C]3.38922[/C][C]3.36078[/C][/ROW]
[ROW][C]113[/C][C]100.34[/C][C]98.9166[/C][C]95.0688[/C][C]3.8478[/C][C]1.42345[/C][/ROW]
[ROW][C]114[/C][C]99.98[/C][C]98.7905[/C][C]95.5271[/C][C]3.26346[/C][C]1.18945[/C][/ROW]
[ROW][C]115[/C][C]94.17[/C][C]96.9192[/C][C]95.9754[/C][C]0.943734[/C][C]-2.74915[/C][/ROW]
[ROW][C]116[/C][C]94.54[/C][C]97.4453[/C][C]96.3033[/C][C]1.14199[/C][C]-2.90533[/C][/ROW]
[ROW][C]117[/C][C]95.12[/C][C]98.4781[/C][C]96.5079[/C][C]1.97023[/C][C]-3.35815[/C][/ROW]
[ROW][C]118[/C][C]98.04[/C][C]95.265[/C][C]96.5383[/C][C]-1.27333[/C][C]2.77499[/C][/ROW]
[ROW][C]119[/C][C]93.72[/C][C]92.1585[/C][C]96.4971[/C][C]-4.33855[/C][C]1.56146[/C][/ROW]
[ROW][C]120[/C][C]93.83[/C][C]92.0713[/C][C]96.6729[/C][C]-4.60166[/C][C]1.75874[/C][/ROW]
[ROW][C]121[/C][C]93.03[/C][C]93.3082[/C][C]97.1775[/C][C]-3.86928[/C][C]-0.278219[/C][/ROW]
[ROW][C]122[/C][C]95.81[/C][C]96.7736[/C][C]98.0479[/C][C]-1.27431[/C][C]-0.963611[/C][/ROW]
[ROW][C]123[/C][C]99.1[/C][C]99.8178[/C][C]99.0171[/C][C]0.80067[/C][C]-0.717753[/C][/ROW]
[ROW][C]124[/C][C]100.12[/C][C]102.92[/C][C]99.5312[/C][C]3.38922[/C][C]-2.80047[/C][/ROW]
[ROW][C]125[/C][C]100.67[/C][C]103.552[/C][C]99.7042[/C][C]3.8478[/C][C]-2.88197[/C][/ROW]
[ROW][C]126[/C][C]103.87[/C][C]103.165[/C][C]99.9017[/C][C]3.26346[/C][C]0.704869[/C][/ROW]
[ROW][C]127[/C][C]102.39[/C][C]101.118[/C][C]100.174[/C][C]0.943734[/C][C]1.2721[/C][/ROW]
[ROW][C]128[/C][C]107.21[/C][C]101.586[/C][C]100.444[/C][C]1.14199[/C][C]5.62426[/C][/ROW]
[ROW][C]129[/C][C]105.71[/C][C]102.539[/C][C]100.569[/C][C]1.97023[/C][C]3.1706[/C][/ROW]
[ROW][C]130[/C][C]99.79[/C][C]99.31[/C][C]100.583[/C][C]-1.27333[/C][C]0.479992[/C][/ROW]
[ROW][C]131[/C][C]96.12[/C][C]96.1969[/C][C]100.535[/C][C]-4.33855[/C][C]-0.0768709[/C][/ROW]
[ROW][C]132[/C][C]96.17[/C][C]95.8538[/C][C]100.455[/C][C]-4.60166[/C][C]0.316242[/C][/ROW]
[ROW][C]133[/C][C]97.23[/C][C]96.5236[/C][C]100.393[/C][C]-3.86928[/C][C]0.706364[/C][/ROW]
[ROW][C]134[/C][C]98.08[/C][C]98.9028[/C][C]100.177[/C][C]-1.27431[/C][C]-0.822778[/C][/ROW]
[ROW][C]135[/C][C]99.84[/C][C]100.639[/C][C]99.8383[/C][C]0.80067[/C][C]-0.799003[/C][/ROW]
[ROW][C]136[/C][C]99.72[/C][C]103.125[/C][C]99.7354[/C][C]3.38922[/C][C]-3.40464[/C][/ROW]
[ROW][C]137[/C][C]99.92[/C][C]103.712[/C][C]99.8642[/C][C]3.8478[/C][C]-3.79197[/C][/ROW]
[ROW][C]138[/C][C]102.7[/C][C]103.324[/C][C]100.061[/C][C]3.26346[/C][C]-0.624297[/C][/ROW]
[ROW][C]139[/C][C]102.06[/C][C]101.348[/C][C]100.404[/C][C]0.943734[/C][C]0.7121[/C][/ROW]
[ROW][C]140[/C][C]102.36[/C][C]102.064[/C][C]100.922[/C][C]1.14199[/C][C]0.29634[/C][/ROW]
[ROW][C]141[/C][C]102.43[/C][C]103.485[/C][C]101.515[/C][C]1.97023[/C][C]-1.05481[/C][/ROW]
[ROW][C]142[/C][C]100.6[/C][C]100.973[/C][C]102.246[/C][C]-1.27333[/C][C]-0.372925[/C][/ROW]
[ROW][C]143[/C][C]98.4[/C][C]98.7648[/C][C]103.103[/C][C]-4.33855[/C][C]-0.364788[/C][/ROW]
[ROW][C]144[/C][C]98.61[/C][C]99.3338[/C][C]103.935[/C][C]-4.60166[/C][C]-0.723758[/C][/ROW]
[ROW][C]145[/C][C]103.03[/C][C]100.919[/C][C]104.789[/C][C]-3.86928[/C][C]2.11053[/C][/ROW]
[ROW][C]146[/C][C]104.7[/C][C]104.472[/C][C]105.746[/C][C]-1.27431[/C][C]0.228472[/C][/ROW]
[ROW][C]147[/C][C]107.45[/C][C]107.462[/C][C]106.661[/C][C]0.80067[/C][C]-0.0119199[/C][/ROW]
[ROW][C]148[/C][C]109.67[/C][C]110.754[/C][C]107.365[/C][C]3.38922[/C][C]-1.08422[/C][/ROW]
[ROW][C]149[/C][C]110.54[/C][C]111.725[/C][C]107.877[/C][C]3.8478[/C][C]-1.18489[/C][/ROW]
[ROW][C]150[/C][C]112.05[/C][C]111.588[/C][C]108.325[/C][C]3.26346[/C][C]0.461536[/C][/ROW]
[ROW][C]151[/C][C]113.19[/C][C]109.557[/C][C]108.614[/C][C]0.943734[/C][C]3.63252[/C][/ROW]
[ROW][C]152[/C][C]114.2[/C][C]109.944[/C][C]108.802[/C][C]1.14199[/C][C]4.25634[/C][/ROW]
[ROW][C]153[/C][C]112.56[/C][C]110.975[/C][C]109.005[/C][C]1.97023[/C][C]1.58477[/C][/ROW]
[ROW][C]154[/C][C]107.36[/C][C]107.808[/C][C]109.081[/C][C]-1.27333[/C][C]-0.447925[/C][/ROW]
[ROW][C]155[/C][C]103.93[/C][C]104.651[/C][C]108.99[/C][C]-4.33855[/C][C]-0.721454[/C][/ROW]
[ROW][C]156[/C][C]103.83[/C][C]104.252[/C][C]108.854[/C][C]-4.60166[/C][C]-0.422092[/C][/ROW]
[ROW][C]157[/C][C]104.74[/C][C]104.592[/C][C]108.461[/C][C]-3.86928[/C][C]0.148031[/C][/ROW]
[ROW][C]158[/C][C]107.5[/C][C]106.474[/C][C]107.749[/C][C]-1.27431[/C][C]1.02556[/C][/ROW]
[ROW][C]159[/C][C]109.53[/C][C]107.757[/C][C]106.956[/C][C]0.80067[/C][C]1.77308[/C][/ROW]
[ROW][C]160[/C][C]109.42[/C][C]109.674[/C][C]106.285[/C][C]3.38922[/C][C]-0.253807[/C][/ROW]
[ROW][C]161[/C][C]108.6[/C][C]109.779[/C][C]105.931[/C][C]3.8478[/C][C]-1.17905[/C][/ROW]
[ROW][C]162[/C][C]110.72[/C][C]109.004[/C][C]105.74[/C][C]3.26346[/C][C]1.71612[/C][/ROW]
[ROW][C]163[/C][C]105.1[/C][C]106.465[/C][C]105.522[/C][C]0.943734[/C][C]-1.3654[/C][/ROW]
[ROW][C]164[/C][C]105.19[/C][C]106.347[/C][C]105.205[/C][C]1.14199[/C][C]-1.15699[/C][/ROW]
[ROW][C]165[/C][C]102.55[/C][C]106.77[/C][C]104.8[/C][C]1.97023[/C][C]-4.22023[/C][/ROW]
[ROW][C]166[/C][C]101.25[/C][C]103.208[/C][C]104.481[/C][C]-1.27333[/C][C]-1.95792[/C][/ROW]
[ROW][C]167[/C][C]101.56[/C][C]100.006[/C][C]104.345[/C][C]-4.33855[/C][C]1.55355[/C][/ROW]
[ROW][C]168[/C][C]101.62[/C][C]99.7154[/C][C]104.317[/C][C]-4.60166[/C][C]1.90458[/C][/ROW]
[ROW][C]169[/C][C]101.7[/C][C]100.526[/C][C]104.395[/C][C]-3.86928[/C][C]1.17428[/C][/ROW]
[ROW][C]170[/C][C]102.94[/C][C]103.372[/C][C]104.646[/C][C]-1.27431[/C][C]-0.431944[/C][/ROW]
[ROW][C]171[/C][C]104.37[/C][C]105.885[/C][C]105.085[/C][C]0.80067[/C][C]-1.51525[/C][/ROW]
[ROW][C]172[/C][C]106.93[/C][C]109.044[/C][C]105.655[/C][C]3.38922[/C][C]-2.11422[/C][/ROW]
[ROW][C]173[/C][C]107.82[/C][C]110.072[/C][C]106.224[/C][C]3.8478[/C][C]-2.25155[/C][/ROW]
[ROW][C]174[/C][C]110.83[/C][C]110.038[/C][C]106.775[/C][C]3.26346[/C][C]0.791536[/C][/ROW]
[ROW][C]175[/C][C]106.86[/C][C]108.295[/C][C]107.351[/C][C]0.943734[/C][C]-1.43457[/C][/ROW]
[ROW][C]176[/C][C]109.46[/C][C]109.23[/C][C]108.088[/C][C]1.14199[/C][C]0.229673[/C][/ROW]
[ROW][C]177[/C][C]108.8[/C][C]110.939[/C][C]108.968[/C][C]1.97023[/C][C]-2.13856[/C][/ROW]
[ROW][C]178[/C][C]108.69[/C][C]108.51[/C][C]109.783[/C][C]-1.27333[/C][C]0.179992[/C][/ROW]
[ROW][C]179[/C][C]107.77[/C][C]106.076[/C][C]110.415[/C][C]-4.33855[/C][C]1.69396[/C][/ROW]
[ROW][C]180[/C][C]108.64[/C][C]106.116[/C][C]110.718[/C][C]-4.60166[/C][C]2.52416[/C][/ROW]
[ROW][C]181[/C][C]108.5[/C][C]107.053[/C][C]110.922[/C][C]-3.86928[/C][C]1.4472[/C][/ROW]
[ROW][C]182[/C][C]113.84[/C][C]109.75[/C][C]111.025[/C][C]-1.27431[/C][C]4.08972[/C][/ROW]
[ROW][C]183[/C][C]114.59[/C][C]111.862[/C][C]111.061[/C][C]0.80067[/C][C]2.72808[/C][/ROW]
[ROW][C]184[/C][C]116.27[/C][C]114.545[/C][C]111.156[/C][C]3.38922[/C][C]1.72453[/C][/ROW]
[ROW][C]185[/C][C]113.63[/C][C]114.99[/C][C]111.142[/C][C]3.8478[/C][C]-1.35989[/C][/ROW]
[ROW][C]186[/C][C]112.29[/C][C]114.353[/C][C]111.089[/C][C]3.26346[/C][C]-2.06263[/C][/ROW]
[ROW][C]187[/C][C]110.31[/C][C]111.936[/C][C]110.992[/C][C]0.943734[/C][C]-1.62582[/C][/ROW]
[ROW][C]188[/C][C]108.47[/C][C]111.893[/C][C]110.751[/C][C]1.14199[/C][C]-3.42324[/C][/ROW]
[ROW][C]189[/C][C]110.67[/C][C]112.399[/C][C]110.429[/C][C]1.97023[/C][C]-1.72898[/C][/ROW]
[ROW][C]190[/C][C]109.1[/C][C]108.91[/C][C]110.183[/C][C]-1.27333[/C][C]0.190408[/C][/ROW]
[ROW][C]191[/C][C]107.02[/C][C]105.742[/C][C]110.081[/C][C]-4.33855[/C][C]1.27771[/C][/ROW]
[ROW][C]192[/C][C]108.12[/C][C]105.585[/C][C]110.187[/C][C]-4.60166[/C][C]2.53458[/C][/ROW]
[ROW][C]193[/C][C]106.69[/C][C]106.469[/C][C]110.338[/C][C]-3.86928[/C][C]0.221364[/C][/ROW]
[ROW][C]194[/C][C]109.87[/C][C]109.206[/C][C]110.48[/C][C]-1.27431[/C][C]0.664306[/C][/ROW]
[ROW][C]195[/C][C]110.82[/C][C]111.612[/C][C]110.811[/C][C]0.80067[/C][C]-0.79192[/C][/ROW]
[ROW][C]196[/C][C]114.14[/C][C]114.774[/C][C]111.385[/C][C]3.38922[/C][C]-0.633807[/C][/ROW]
[ROW][C]197[/C][C]113.31[/C][C]115.905[/C][C]112.057[/C][C]3.8478[/C][C]-2.59489[/C][/ROW]
[ROW][C]198[/C][C]115.16[/C][C]116.111[/C][C]112.848[/C][C]3.26346[/C][C]-0.950964[/C][/ROW]
[ROW][C]199[/C][C]111.06[/C][C]114.75[/C][C]113.806[/C][C]0.943734[/C][C]-3.68998[/C][/ROW]
[ROW][C]200[/C][C]111.13[/C][C]115.997[/C][C]114.855[/C][C]1.14199[/C][C]-4.86658[/C][/ROW]
[ROW][C]201[/C][C]115.96[/C][C]117.909[/C][C]115.939[/C][C]1.97023[/C][C]-1.94898[/C][/ROW]
[ROW][C]202[/C][C]117.57[/C][C]115.727[/C][C]117[/C][C]-1.27333[/C][C]1.84333[/C][/ROW]
[ROW][C]203[/C][C]114.69[/C][C]113.867[/C][C]118.206[/C][C]-4.33855[/C][C]0.822712[/C][/ROW]
[ROW][C]204[/C][C]119.42[/C][C]114.771[/C][C]119.372[/C][C]-4.60166[/C][C]4.64916[/C][/ROW]
[ROW][C]205[/C][C]118.4[/C][C]116.462[/C][C]120.331[/C][C]-3.86928[/C][C]1.93845[/C][/ROW]
[ROW][C]206[/C][C]123.32[/C][C]119.895[/C][C]121.17[/C][C]-1.27431[/C][C]3.42472[/C][/ROW]
[ROW][C]207[/C][C]123.39[/C][C]122.581[/C][C]121.78[/C][C]0.80067[/C][C]0.808913[/C][/ROW]
[ROW][C]208[/C][C]127.04[/C][C]125.462[/C][C]122.072[/C][C]3.38922[/C][C]1.57828[/C][/ROW]
[ROW][C]209[/C][C]129.35[/C][C]125.963[/C][C]122.115[/C][C]3.8478[/C][C]3.3872[/C][/ROW]
[ROW][C]210[/C][C]127.12[/C][C]125.154[/C][C]121.891[/C][C]3.26346[/C][C]1.9657[/C][/ROW]
[ROW][C]211[/C][C]122.1[/C][C]NA[/C][C]NA[/C][C]0.943734[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]120.22[/C][C]NA[/C][C]NA[/C][C]1.14199[/C][C]NA[/C][/ROW]
[ROW][C]213[/C][C]121.53[/C][C]NA[/C][C]NA[/C][C]1.97023[/C][C]NA[/C][/ROW]
[ROW][C]214[/C][C]119.01[/C][C]NA[/C][C]NA[/C][C]-1.27333[/C][C]NA[/C][/ROW]
[ROW][C]215[/C][C]114.27[/C][C]NA[/C][C]NA[/C][C]-4.33855[/C][C]NA[/C][/ROW]
[ROW][C]216[/C][C]114.46[/C][C]NA[/C][C]NA[/C][C]-4.60166[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234834&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234834&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
171.97NANA-3.86928NA
272.32NANA-1.27431NA
374.07NANA0.80067NA
477.95NANA3.38922NA
581.75NANA3.8478NA
680.81NANA3.26346NA
774.176.592175.64830.943734-2.49207
871.3777.161676.01961.14199-5.79158
975.2178.36476.39371.97023-3.15398
1076.975.327976.6012-1.273331.57208
1174.4472.220276.5587-4.338552.2198
1274.7671.900476.5021-4.601662.85958
1376.2372.904576.7738-3.869283.32553
1476.9776.30977.5833-1.274310.660972
1578.479.190378.38960.80067-0.790253
1678.682.20378.81383.38922-3.60297
1780.0883.08279.23423.8478-3.00197
1881.1282.770179.50673.26346-1.65013
1980.3180.47579.53120.943734-0.164984
2084.5980.758279.61621.141993.83176
2181.3481.75479.78381.97023-0.413979
2280.9578.785880.0592-1.273332.16416
2380.4876.132380.4708-4.338554.34771
2475.2676.108880.7104-4.60166-0.848758
2576.3277.149981.0192-3.86928-0.829886
2678.9280.095781.37-1.27431-1.17569
2780.4782.386581.58580.80067-1.9165
2883.1485.088481.69923.38922-1.94839
2985.4285.425381.57753.8478-0.00530229
3081.5384.901881.63833.26346-3.3718
3187.3182.848381.90460.9437344.46168
3286.0183.339182.19711.141992.67092
3385.184.497782.52751.970230.602271
3479.9181.5182.7833-1.27333-1.60001
3578.678.63182.9696-4.33855-0.0310376
3678.678.594683.1962-4.601660.0054085
3779.3779.179583.0488-3.869280.190531
3882.8981.444982.7192-1.274311.44514
3984.4383.485382.68460.800670.944747
4085.3286.163882.77463.38922-0.843807
4187.7186.658282.81043.84781.05178
4284.6886.023982.76043.26346-1.34388
4380.6283.684282.74040.943734-3.06415
4484.7983.79282.651.141990.998007
4585.4984.516182.54581.970230.973938
4681.6881.291782.565-1.273330.388325
4777.6978.352782.6913-4.33855-0.662704
4878.3178.192982.7946-4.601660.117075
4979.1879.076182.9454-3.869280.103864
5080.9181.827883.1021-1.27431-0.917778
5183.9183.943283.14250.80067-0.0331699
5286.386.586383.19713.38922-0.286307
5389.7687.215383.36753.84782.5447
5485.1186.845183.58173.26346-1.73513
5583.8184.697983.75420.943734-0.8879
5685.3685.149584.00751.141990.210507
5785.8986.406584.43621.97023-0.516479
5882.5983.809685.0829-1.27333-1.21959
5980.8781.45185.7896-4.33855-0.581038
6080.2782.042986.6446-4.60166-1.77292
6181.3683.95787.8262-3.86928-2.59697
6284.8187.711588.9858-1.27431-2.90153
6390.391.06490.26330.80067-0.764003
6495.4395.054691.66543.389220.375359
6597.5996.58292.73423.84781.00803
6697.896.941493.67793.263460.858619
6799.4895.775494.83170.9437343.7046
6897.5297.319996.17791.141990.20009
69104.3999.478697.50831.970234.91144
7097.7497.476398.7496-1.273330.263742
7191.3795.450299.7888-4.33855-4.0802
7292.4295.8279100.43-4.60166-3.40792
7396.996.6382100.508-3.869280.261781
74101.5899.1444100.419-1.274312.43556
75105.46101.215100.4150.800674.24475
76110.06103.791100.4023.389226.26911
77107.9104.303100.4553.84783.5972
78102.87103.795100.5313.26346-0.924714
7996.28101.462100.5180.943734-5.18165
8098.59101.322100.181.14199-2.73158
81103.22101.63399.66251.970231.58727
8298.698.101799.375-1.273330.498325
8391.7995.051999.3904-4.33855-3.26187
8493.8395.126399.7279-4.60166-1.29626
8595.1796.6495100.519-3.86928-1.47947
8695.1999.9319101.206-1.27431-4.74194
8799.44102.373101.5720.80067-2.93317
88109.18105.091101.7023.389224.08911
89109.15105.722101.8743.84783.42803
90109.72105.282102.0193.263464.43779
91108.41102.836101.8920.9437345.57418
92102.96103.102101.961.14199-0.141577
93107.64104.016102.0451.970233.62435
9497.28100.46101.733-1.27333-3.17959
9597.2596.9131101.252-4.338550.336879
9691.8496.1388100.74-4.60166-4.29876
9794.1296.2928100.162-3.86928-2.1728
9897.8698.556599.8308-1.27431-0.696528
9998.83100.29499.49290.80067-1.46359
100102.29102.48699.09673.38922-0.195891
101104.49102.4598.60253.84782.0397
102102.11101.34398.083.263460.766536
103102.1498.612997.66920.9437343.5271
104101.2898.352497.21041.141992.92759
105101.2198.901996.93171.970232.3081
10694.295.548896.8221-1.27333-1.34876
10788.4792.275296.6138-4.33855-3.8052
10888.0891.750496.3521-4.60166-3.67042
10988.0292.06295.9312-3.86928-4.04197
11092.9594.04495.3183-1.27431-1.09403
11197.0595.584494.78380.800671.46558
112101.4498.079294.693.389223.36078
113100.3498.916695.06883.84781.42345
11499.9898.790595.52713.263461.18945
11594.1796.919295.97540.943734-2.74915
11694.5497.445396.30331.14199-2.90533
11795.1298.478196.50791.97023-3.35815
11898.0495.26596.5383-1.273332.77499
11993.7292.158596.4971-4.338551.56146
12093.8392.071396.6729-4.601661.75874
12193.0393.308297.1775-3.86928-0.278219
12295.8196.773698.0479-1.27431-0.963611
12399.199.817899.01710.80067-0.717753
124100.12102.9299.53123.38922-2.80047
125100.67103.55299.70423.8478-2.88197
126103.87103.16599.90173.263460.704869
127102.39101.118100.1740.9437341.2721
128107.21101.586100.4441.141995.62426
129105.71102.539100.5691.970233.1706
13099.7999.31100.583-1.273330.479992
13196.1296.1969100.535-4.33855-0.0768709
13296.1795.8538100.455-4.601660.316242
13397.2396.5236100.393-3.869280.706364
13498.0898.9028100.177-1.27431-0.822778
13599.84100.63999.83830.80067-0.799003
13699.72103.12599.73543.38922-3.40464
13799.92103.71299.86423.8478-3.79197
138102.7103.324100.0613.26346-0.624297
139102.06101.348100.4040.9437340.7121
140102.36102.064100.9221.141990.29634
141102.43103.485101.5151.97023-1.05481
142100.6100.973102.246-1.27333-0.372925
14398.498.7648103.103-4.33855-0.364788
14498.6199.3338103.935-4.60166-0.723758
145103.03100.919104.789-3.869282.11053
146104.7104.472105.746-1.274310.228472
147107.45107.462106.6610.80067-0.0119199
148109.67110.754107.3653.38922-1.08422
149110.54111.725107.8773.8478-1.18489
150112.05111.588108.3253.263460.461536
151113.19109.557108.6140.9437343.63252
152114.2109.944108.8021.141994.25634
153112.56110.975109.0051.970231.58477
154107.36107.808109.081-1.27333-0.447925
155103.93104.651108.99-4.33855-0.721454
156103.83104.252108.854-4.60166-0.422092
157104.74104.592108.461-3.869280.148031
158107.5106.474107.749-1.274311.02556
159109.53107.757106.9560.800671.77308
160109.42109.674106.2853.38922-0.253807
161108.6109.779105.9313.8478-1.17905
162110.72109.004105.743.263461.71612
163105.1106.465105.5220.943734-1.3654
164105.19106.347105.2051.14199-1.15699
165102.55106.77104.81.97023-4.22023
166101.25103.208104.481-1.27333-1.95792
167101.56100.006104.345-4.338551.55355
168101.6299.7154104.317-4.601661.90458
169101.7100.526104.395-3.869281.17428
170102.94103.372104.646-1.27431-0.431944
171104.37105.885105.0850.80067-1.51525
172106.93109.044105.6553.38922-2.11422
173107.82110.072106.2243.8478-2.25155
174110.83110.038106.7753.263460.791536
175106.86108.295107.3510.943734-1.43457
176109.46109.23108.0881.141990.229673
177108.8110.939108.9681.97023-2.13856
178108.69108.51109.783-1.273330.179992
179107.77106.076110.415-4.338551.69396
180108.64106.116110.718-4.601662.52416
181108.5107.053110.922-3.869281.4472
182113.84109.75111.025-1.274314.08972
183114.59111.862111.0610.800672.72808
184116.27114.545111.1563.389221.72453
185113.63114.99111.1423.8478-1.35989
186112.29114.353111.0893.26346-2.06263
187110.31111.936110.9920.943734-1.62582
188108.47111.893110.7511.14199-3.42324
189110.67112.399110.4291.97023-1.72898
190109.1108.91110.183-1.273330.190408
191107.02105.742110.081-4.338551.27771
192108.12105.585110.187-4.601662.53458
193106.69106.469110.338-3.869280.221364
194109.87109.206110.48-1.274310.664306
195110.82111.612110.8110.80067-0.79192
196114.14114.774111.3853.38922-0.633807
197113.31115.905112.0573.8478-2.59489
198115.16116.111112.8483.26346-0.950964
199111.06114.75113.8060.943734-3.68998
200111.13115.997114.8551.14199-4.86658
201115.96117.909115.9391.97023-1.94898
202117.57115.727117-1.273331.84333
203114.69113.867118.206-4.338550.822712
204119.42114.771119.372-4.601664.64916
205118.4116.462120.331-3.869281.93845
206123.32119.895121.17-1.274313.42472
207123.39122.581121.780.800670.808913
208127.04125.462122.0723.389221.57828
209129.35125.963122.1153.84783.3872
210127.12125.154121.8913.263461.9657
211122.1NANA0.943734NA
212120.22NANA1.14199NA
213121.53NANA1.97023NA
214119.01NANA-1.27333NA
215114.27NANA-4.33855NA
216114.46NANA-4.60166NA



Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
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')