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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 computationWed, 13 Dec 2017 14:21:24 +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/13/t15131713276biqln9yeyjxtvv.htm/, Retrieved Wed, 15 May 2024 14:43:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309289, Retrieved Wed, 15 May 2024 14:43:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Classical decompo...] [2017-12-13 13:21:24] [b96fd9fc55b2111e8fcab34a88822fe0] [Current]
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Dataseries X:
85
92,7
102,2
88,5
101,8
95,6
84,2
84,9
98,6
102,7
96,1
83,9
99,5
93,6
105
92,4
96,5
97,9
88,6
89,2
95,9
103,4
95
79,9
98
90,9
100,5
99
95,1
97,1
91,4
85,1
99,8
106,4
94,9
82,2
99,7
91,7
97,1
98,4
90,7
94,2
92,1
82,8
101,2
103,5
88,4
86,7
93,4
92,5
106,9
100,4
90,1
105,1
88,7
91,4
105
100,1
95,7
90,4
93
90,7
101
97,8
92,3
104,2
87,5
90,9
104,3
96,6
97,8
92,8
95,8
94,3
108,6
95
100,3
104,4
88,4
94,8
103,6
109,2
104,8
94,5
101
101,1
114
100,9
106,1
111,8
104,2
101,4
110
121,5
109,1
94,3
113,3
109,4
108,1
114,7
105,3
111,8
103,6
96,6
114,8
115,8
98,5
95,9
93,1
91,6
101,4
97,6
90,5
100,4
92
86,9
102,5
102
95,3
89,5
91,3
96,3
106,7
100,9
92,8
107,9
95,7
94,9
107,9
105,5
101,3
98,8
97,2
98
110,9
95,6
103,5
100,1
88,3
96,8
107,8
98,6
100,7
92,2
99,3
99,2
107,8
95,3
100,1
104,7
97,8
99,7
102,7
109,7
101
84,9
102,6
94,9
99,3
97,7
95,1
95,1
95,7
88,8
97,6
104,3
90,2
83,3
95,2
90
100,5
97,6
92,6
98,6
97,9
90,2
104,8
102,9
89,5
85,8
95,5
92,2
105,7
97,9
89,9
105,3
95,5
89,2
105,5
105
95,5
91,5
91,2
95,2
103
100,3
100,6
102,3
87,2
94,1
104
99,6
98,8
91,2
96,8
94,9
108
92,7
100,7
106,1
91,5
94,8




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 time4 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309289&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]4 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309289&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309289&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 time4 seconds
R ServerBig Analytics Cloud Computing Center







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
185NANA-0.528124NA
292.7NANA-2.88793NA
3102.2NANA6.78131NA
488.5NANA0.837823NA
5101.8NANA-1.66114NA
695.6NANA4.52532NA
784.288.710193.6208-4.91072-4.51011
884.988.076394.2625-6.18621-3.17629
998.6100.46494.41676.04712-1.86379
10102.7101.94294.69587.246140.758026
1196.193.981994.6375-0.6555752.11807
1283.985.904594.5125-8.60803-2.00447
1399.594.263594.7917-0.5281245.23646
1493.692.266295.1542-2.887931.33376
15105102.00295.22086.781312.99785
1692.495.975395.13750.837823-3.57532
1796.593.459795.1208-1.661143.0403
1897.999.433794.90834.52532-1.53366
1988.689.768494.6792-4.91072-1.16844
2089.288.31894.5042-6.186210.882045
2195.9100.25194.20426.04712-4.35129
22103.4101.53894.29177.246141.86219
239593.852894.5083-0.6555751.14724
2479.985.808694.4167-8.60803-5.90864
259893.971994.5-0.5281244.02812
2690.991.557994.4458-2.88793-0.657906
27100.5101.21994.43756.78131-0.718813
289995.562894.7250.8378233.43718
2995.193.184794.8458-1.661141.9153
3097.199.462894.93754.52532-2.36282
3191.490.193495.1042-4.910721.20656
3285.189.022195.2083-6.18621-3.92212
3399.8101.14795.16.04712-1.34712
34106.4102.17994.93337.246144.22053
3594.994.069494.725-0.6555750.830575
3682.285.812894.4208-8.60803-3.61281
3799.793.80194.3292-0.5281245.89896
3891.791.374694.2625-2.887930.325428
3997.1101.00694.2256.78131-3.90631
4098.495.000394.16250.8378233.39968
4190.792.109793.7708-1.66114-1.4097
4294.298.212893.68754.52532-4.01282
4392.188.701893.6125-4.910723.39822
4482.887.197193.3833-6.18621-4.39712
45101.299.872193.8256.047121.32788
46103.5101.56394.31677.246141.93719
4788.493.719494.375-0.655575-5.31943
4886.786.196194.8042-8.608030.503859
4993.494.588595.1167-0.528124-1.18854
5092.592.445495.3333-2.887930.0545943
51106.9102.63195.856.781314.26869
52100.496.704595.86670.8378233.69551
5390.194.36896.0292-1.66114-4.26803
54105.1101.01396.48754.525324.08718
5588.791.714396.625-4.91072-3.01428
5691.490.347196.5333-6.186211.05288
57105102.2696.21256.047122.74038
58100.1103.10495.85837.24614-3.00447
5995.795.186195.8417-0.6555750.513908
6090.487.287895.8958-8.608033.11219
619395.280295.8083-0.528124-2.28021
6290.792.849695.7375-2.88793-2.14957
63101102.46995.68756.78131-1.46881
6497.896.350395.51250.8378231.44968
6592.393.79395.4542-1.66114-1.49303
66104.2100.16795.64174.525324.03301
6787.590.947695.8583-4.91072-3.44761
6890.989.938896.125-6.186210.961212
69104.3102.63996.59176.047121.66121
7096.6104.03896.79177.24614-7.43781
7197.896.352897.0083-0.6555751.44724
7292.888.74297.35-8.608034.05803
7395.896.867797.3958-0.528124-1.06771
7494.394.707997.5958-2.88793-0.407906
75108.6104.5197.72926.781314.08952
769599.062898.2250.837823-4.06282
77100.397.380599.0417-1.661142.91947
78104.4103.92999.40424.525320.47051
7988.494.780999.6917-4.91072-6.38094
8094.894.0055100.192-6.186210.794545
81103.6106.747100.76.04712-3.14712
82109.2108.417101.1717.246140.783026
83104.8101.003101.658-0.6555753.79724
8494.593.6003102.208-8.608030.899692
85101102.647103.175-0.528124-1.64688
86101.1101.22104.108-2.88793-0.120406
87114111.431104.656.781312.56869
88100.9106.267105.4290.837823-5.36699
89106.1104.46106.121-1.661141.6403
90111.8110.817106.2924.525320.98301
91104.2101.885106.796-4.910722.31489
92101.4101.468107.654-6.18621-0.0679547
93110113.801107.7546.04712-3.80129
94121.5115.329108.0837.246146.17053
95109.1107.969108.625-0.6555751.13057
9694.399.9836108.592-8.60803-5.68364
97113.3108.039108.567-0.5281245.26146
98109.4105.454108.342-2.887933.94626
99108.1115.123108.3426.78131-7.02298
100114.7109.142108.3040.8378235.55801
101105.3105.964107.625-1.66114-0.663865
102111.8111.775107.254.525320.024677
103103.6101.564106.475-4.910722.03572
10496.698.7055104.892-6.18621-2.10545
105114.8109.918103.8716.047124.88205
106115.8110.125102.8797.246145.67469
10798.5100.894101.55-0.655575-2.39443
10895.991.8503100.458-8.608034.04969
10993.198.971999.5-0.528124-5.87188
11091.695.724698.6125-2.88793-4.12457
111101.4104.47797.69586.78131-3.07715
11297.697.446296.60830.8378230.153844
11390.594.238995.9-1.66114-3.73886
114100.4100.02595.54.525320.374677
1159290.247695.1583-4.910721.75239
11686.989.09395.2792-6.18621-2.19295
117102.5101.74395.69586.047120.757045
118102103.396.05427.24614-1.30031
11995.395.631996.2875-0.655575-0.331925
12089.588.087896.6958-8.608031.41219
12191.396.634497.1625-0.528124-5.33438
12296.394.762197.65-2.887931.53793
123106.7104.9998.20836.781311.71035
124100.999.41798.57920.8378231.48301
12592.897.313998.975-1.66114-4.51386
126107.9104.13899.61254.525323.76218
12795.795.3351100.246-4.910720.364888
12894.994.3763100.562-6.186210.523712
129107.9106.855100.8086.047121.04455
130105.5108.009100.7627.24614-2.50864
131101.3100.332100.988-0.6555750.968075
13298.892.5003101.108-8.608036.29969
13397.299.9469100.475-0.528124-2.74688
1349897.3579100.246-2.887930.642094
135110.9107.102100.3216.781313.79785
13695.6100.867100.0290.837823-5.26699
137103.598.055599.7167-1.661145.44447
138100.1103.94299.41674.52532-3.84199
13988.394.318499.2292-4.91072-6.01844
14096.893.180599.3667-6.186213.61955
141107.8105.33599.28756.047122.46538
14298.6106.39299.14587.24614-7.79197
143100.798.336198.9917-0.6555752.36391
14492.290.433699.0417-8.608031.76636
14599.399.10199.6292-0.5281240.198957
14699.297.2579100.146-2.887931.94209
147107.8106.835100.0546.781310.964521
14895.3101.142100.3040.837823-5.84199
149100.199.118100.779-1.661140.981969
150104.7105.013100.4874.52532-0.312823
15197.895.4101100.321-4.910722.38989
15299.794.093100.279-6.186215.60705
153102.7105.79399.74586.04712-3.09295
154109.7106.73899.49177.246142.96219
15510198.727899.3833-0.6555752.27224
15684.990.16798.775-8.60803-5.26697
157102.697.759498.2875-0.5281244.84062
15894.994.857997.7458-2.887930.0420943
15999.3103.8697.07926.78131-4.56048
16097.797.479596.64170.8378230.22051
16195.194.305595.9667-1.661140.794469
16295.199.975395.454.52532-4.87532
16395.790.164395.075-4.910725.53572
16488.888.376394.5625-6.186210.423712
16597.6100.45594.40836.04712-2.85545
166104.3101.794.45427.246142.59969
16790.293.690394.3458-0.655575-3.49026
16883.385.779594.3875-8.60803-2.47947
16995.294.096994.625-0.5281241.10312
1709091.887194.775-2.88793-1.88707
171100.5101.91595.13336.78131-1.41465
17297.696.212895.3750.8378231.38718
17392.693.626495.2875-1.66114-1.02636
17498.699.887895.36254.52532-1.28782
17597.990.568495.4792-4.910727.33156
17690.289.397195.5833-6.186210.802879
177104.8101.93995.89176.047122.86121
178102.9103.36796.12087.24614-0.466974
17989.595.365396.0208-0.655575-5.86526
18085.887.579596.1875-8.60803-1.77947
18195.595.838596.3667-0.528124-0.338543
18292.293.337196.225-2.88793-1.13707
183105.7102.99496.21256.781312.70619
18497.997.16796.32920.8378230.73301
18589.995.005596.6667-1.66114-5.10553
186105.3101.67997.15424.525323.62051
18795.592.301897.2125-4.910723.19822
18889.290.972197.1583-6.18621-1.77212
189105.5103.21897.17086.047122.28205
190105104.40497.15837.246140.595526
19195.597.048697.7042-0.655575-1.54859
19291.589.41798.025-8.608032.08303
19391.297.02697.5542-0.528124-5.82604
19495.294.524697.4125-2.887930.675428
195103104.33597.55426.78131-1.33548
196100.398.104597.26670.8378232.19551
197100.695.51897.1792-1.661145.08197
198102.3101.82997.30424.525320.47051
19987.292.614397.525-4.91072-5.41428
20094.191.559697.7458-6.186212.54038
201104103.98997.94176.047120.011212
20299.6105.07997.83337.24614-5.47947
20398.896.865397.5208-0.6555751.93474
20491.289.075397.6833-8.608032.12469
20596.897.492798.0208-0.528124-0.69271
20694.995.341298.2292-2.88793-0.441239
207108NANA6.78131NA
20892.7NANA0.837823NA
209100.7NANA-1.66114NA
210106.1NANA4.52532NA
21191.5NANA-4.91072NA
21294.8NANA-6.18621NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 85 & NA & NA & -0.528124 & NA \tabularnewline
2 & 92.7 & NA & NA & -2.88793 & NA \tabularnewline
3 & 102.2 & NA & NA & 6.78131 & NA \tabularnewline
4 & 88.5 & NA & NA & 0.837823 & NA \tabularnewline
5 & 101.8 & NA & NA & -1.66114 & NA \tabularnewline
6 & 95.6 & NA & NA & 4.52532 & NA \tabularnewline
7 & 84.2 & 88.7101 & 93.6208 & -4.91072 & -4.51011 \tabularnewline
8 & 84.9 & 88.0763 & 94.2625 & -6.18621 & -3.17629 \tabularnewline
9 & 98.6 & 100.464 & 94.4167 & 6.04712 & -1.86379 \tabularnewline
10 & 102.7 & 101.942 & 94.6958 & 7.24614 & 0.758026 \tabularnewline
11 & 96.1 & 93.9819 & 94.6375 & -0.655575 & 2.11807 \tabularnewline
12 & 83.9 & 85.9045 & 94.5125 & -8.60803 & -2.00447 \tabularnewline
13 & 99.5 & 94.2635 & 94.7917 & -0.528124 & 5.23646 \tabularnewline
14 & 93.6 & 92.2662 & 95.1542 & -2.88793 & 1.33376 \tabularnewline
15 & 105 & 102.002 & 95.2208 & 6.78131 & 2.99785 \tabularnewline
16 & 92.4 & 95.9753 & 95.1375 & 0.837823 & -3.57532 \tabularnewline
17 & 96.5 & 93.4597 & 95.1208 & -1.66114 & 3.0403 \tabularnewline
18 & 97.9 & 99.4337 & 94.9083 & 4.52532 & -1.53366 \tabularnewline
19 & 88.6 & 89.7684 & 94.6792 & -4.91072 & -1.16844 \tabularnewline
20 & 89.2 & 88.318 & 94.5042 & -6.18621 & 0.882045 \tabularnewline
21 & 95.9 & 100.251 & 94.2042 & 6.04712 & -4.35129 \tabularnewline
22 & 103.4 & 101.538 & 94.2917 & 7.24614 & 1.86219 \tabularnewline
23 & 95 & 93.8528 & 94.5083 & -0.655575 & 1.14724 \tabularnewline
24 & 79.9 & 85.8086 & 94.4167 & -8.60803 & -5.90864 \tabularnewline
25 & 98 & 93.9719 & 94.5 & -0.528124 & 4.02812 \tabularnewline
26 & 90.9 & 91.5579 & 94.4458 & -2.88793 & -0.657906 \tabularnewline
27 & 100.5 & 101.219 & 94.4375 & 6.78131 & -0.718813 \tabularnewline
28 & 99 & 95.5628 & 94.725 & 0.837823 & 3.43718 \tabularnewline
29 & 95.1 & 93.1847 & 94.8458 & -1.66114 & 1.9153 \tabularnewline
30 & 97.1 & 99.4628 & 94.9375 & 4.52532 & -2.36282 \tabularnewline
31 & 91.4 & 90.1934 & 95.1042 & -4.91072 & 1.20656 \tabularnewline
32 & 85.1 & 89.0221 & 95.2083 & -6.18621 & -3.92212 \tabularnewline
33 & 99.8 & 101.147 & 95.1 & 6.04712 & -1.34712 \tabularnewline
34 & 106.4 & 102.179 & 94.9333 & 7.24614 & 4.22053 \tabularnewline
35 & 94.9 & 94.0694 & 94.725 & -0.655575 & 0.830575 \tabularnewline
36 & 82.2 & 85.8128 & 94.4208 & -8.60803 & -3.61281 \tabularnewline
37 & 99.7 & 93.801 & 94.3292 & -0.528124 & 5.89896 \tabularnewline
38 & 91.7 & 91.3746 & 94.2625 & -2.88793 & 0.325428 \tabularnewline
39 & 97.1 & 101.006 & 94.225 & 6.78131 & -3.90631 \tabularnewline
40 & 98.4 & 95.0003 & 94.1625 & 0.837823 & 3.39968 \tabularnewline
41 & 90.7 & 92.1097 & 93.7708 & -1.66114 & -1.4097 \tabularnewline
42 & 94.2 & 98.2128 & 93.6875 & 4.52532 & -4.01282 \tabularnewline
43 & 92.1 & 88.7018 & 93.6125 & -4.91072 & 3.39822 \tabularnewline
44 & 82.8 & 87.1971 & 93.3833 & -6.18621 & -4.39712 \tabularnewline
45 & 101.2 & 99.8721 & 93.825 & 6.04712 & 1.32788 \tabularnewline
46 & 103.5 & 101.563 & 94.3167 & 7.24614 & 1.93719 \tabularnewline
47 & 88.4 & 93.7194 & 94.375 & -0.655575 & -5.31943 \tabularnewline
48 & 86.7 & 86.1961 & 94.8042 & -8.60803 & 0.503859 \tabularnewline
49 & 93.4 & 94.5885 & 95.1167 & -0.528124 & -1.18854 \tabularnewline
50 & 92.5 & 92.4454 & 95.3333 & -2.88793 & 0.0545943 \tabularnewline
51 & 106.9 & 102.631 & 95.85 & 6.78131 & 4.26869 \tabularnewline
52 & 100.4 & 96.7045 & 95.8667 & 0.837823 & 3.69551 \tabularnewline
53 & 90.1 & 94.368 & 96.0292 & -1.66114 & -4.26803 \tabularnewline
54 & 105.1 & 101.013 & 96.4875 & 4.52532 & 4.08718 \tabularnewline
55 & 88.7 & 91.7143 & 96.625 & -4.91072 & -3.01428 \tabularnewline
56 & 91.4 & 90.3471 & 96.5333 & -6.18621 & 1.05288 \tabularnewline
57 & 105 & 102.26 & 96.2125 & 6.04712 & 2.74038 \tabularnewline
58 & 100.1 & 103.104 & 95.8583 & 7.24614 & -3.00447 \tabularnewline
59 & 95.7 & 95.1861 & 95.8417 & -0.655575 & 0.513908 \tabularnewline
60 & 90.4 & 87.2878 & 95.8958 & -8.60803 & 3.11219 \tabularnewline
61 & 93 & 95.2802 & 95.8083 & -0.528124 & -2.28021 \tabularnewline
62 & 90.7 & 92.8496 & 95.7375 & -2.88793 & -2.14957 \tabularnewline
63 & 101 & 102.469 & 95.6875 & 6.78131 & -1.46881 \tabularnewline
64 & 97.8 & 96.3503 & 95.5125 & 0.837823 & 1.44968 \tabularnewline
65 & 92.3 & 93.793 & 95.4542 & -1.66114 & -1.49303 \tabularnewline
66 & 104.2 & 100.167 & 95.6417 & 4.52532 & 4.03301 \tabularnewline
67 & 87.5 & 90.9476 & 95.8583 & -4.91072 & -3.44761 \tabularnewline
68 & 90.9 & 89.9388 & 96.125 & -6.18621 & 0.961212 \tabularnewline
69 & 104.3 & 102.639 & 96.5917 & 6.04712 & 1.66121 \tabularnewline
70 & 96.6 & 104.038 & 96.7917 & 7.24614 & -7.43781 \tabularnewline
71 & 97.8 & 96.3528 & 97.0083 & -0.655575 & 1.44724 \tabularnewline
72 & 92.8 & 88.742 & 97.35 & -8.60803 & 4.05803 \tabularnewline
73 & 95.8 & 96.8677 & 97.3958 & -0.528124 & -1.06771 \tabularnewline
74 & 94.3 & 94.7079 & 97.5958 & -2.88793 & -0.407906 \tabularnewline
75 & 108.6 & 104.51 & 97.7292 & 6.78131 & 4.08952 \tabularnewline
76 & 95 & 99.0628 & 98.225 & 0.837823 & -4.06282 \tabularnewline
77 & 100.3 & 97.3805 & 99.0417 & -1.66114 & 2.91947 \tabularnewline
78 & 104.4 & 103.929 & 99.4042 & 4.52532 & 0.47051 \tabularnewline
79 & 88.4 & 94.7809 & 99.6917 & -4.91072 & -6.38094 \tabularnewline
80 & 94.8 & 94.0055 & 100.192 & -6.18621 & 0.794545 \tabularnewline
81 & 103.6 & 106.747 & 100.7 & 6.04712 & -3.14712 \tabularnewline
82 & 109.2 & 108.417 & 101.171 & 7.24614 & 0.783026 \tabularnewline
83 & 104.8 & 101.003 & 101.658 & -0.655575 & 3.79724 \tabularnewline
84 & 94.5 & 93.6003 & 102.208 & -8.60803 & 0.899692 \tabularnewline
85 & 101 & 102.647 & 103.175 & -0.528124 & -1.64688 \tabularnewline
86 & 101.1 & 101.22 & 104.108 & -2.88793 & -0.120406 \tabularnewline
87 & 114 & 111.431 & 104.65 & 6.78131 & 2.56869 \tabularnewline
88 & 100.9 & 106.267 & 105.429 & 0.837823 & -5.36699 \tabularnewline
89 & 106.1 & 104.46 & 106.121 & -1.66114 & 1.6403 \tabularnewline
90 & 111.8 & 110.817 & 106.292 & 4.52532 & 0.98301 \tabularnewline
91 & 104.2 & 101.885 & 106.796 & -4.91072 & 2.31489 \tabularnewline
92 & 101.4 & 101.468 & 107.654 & -6.18621 & -0.0679547 \tabularnewline
93 & 110 & 113.801 & 107.754 & 6.04712 & -3.80129 \tabularnewline
94 & 121.5 & 115.329 & 108.083 & 7.24614 & 6.17053 \tabularnewline
95 & 109.1 & 107.969 & 108.625 & -0.655575 & 1.13057 \tabularnewline
96 & 94.3 & 99.9836 & 108.592 & -8.60803 & -5.68364 \tabularnewline
97 & 113.3 & 108.039 & 108.567 & -0.528124 & 5.26146 \tabularnewline
98 & 109.4 & 105.454 & 108.342 & -2.88793 & 3.94626 \tabularnewline
99 & 108.1 & 115.123 & 108.342 & 6.78131 & -7.02298 \tabularnewline
100 & 114.7 & 109.142 & 108.304 & 0.837823 & 5.55801 \tabularnewline
101 & 105.3 & 105.964 & 107.625 & -1.66114 & -0.663865 \tabularnewline
102 & 111.8 & 111.775 & 107.25 & 4.52532 & 0.024677 \tabularnewline
103 & 103.6 & 101.564 & 106.475 & -4.91072 & 2.03572 \tabularnewline
104 & 96.6 & 98.7055 & 104.892 & -6.18621 & -2.10545 \tabularnewline
105 & 114.8 & 109.918 & 103.871 & 6.04712 & 4.88205 \tabularnewline
106 & 115.8 & 110.125 & 102.879 & 7.24614 & 5.67469 \tabularnewline
107 & 98.5 & 100.894 & 101.55 & -0.655575 & -2.39443 \tabularnewline
108 & 95.9 & 91.8503 & 100.458 & -8.60803 & 4.04969 \tabularnewline
109 & 93.1 & 98.9719 & 99.5 & -0.528124 & -5.87188 \tabularnewline
110 & 91.6 & 95.7246 & 98.6125 & -2.88793 & -4.12457 \tabularnewline
111 & 101.4 & 104.477 & 97.6958 & 6.78131 & -3.07715 \tabularnewline
112 & 97.6 & 97.4462 & 96.6083 & 0.837823 & 0.153844 \tabularnewline
113 & 90.5 & 94.2389 & 95.9 & -1.66114 & -3.73886 \tabularnewline
114 & 100.4 & 100.025 & 95.5 & 4.52532 & 0.374677 \tabularnewline
115 & 92 & 90.2476 & 95.1583 & -4.91072 & 1.75239 \tabularnewline
116 & 86.9 & 89.093 & 95.2792 & -6.18621 & -2.19295 \tabularnewline
117 & 102.5 & 101.743 & 95.6958 & 6.04712 & 0.757045 \tabularnewline
118 & 102 & 103.3 & 96.0542 & 7.24614 & -1.30031 \tabularnewline
119 & 95.3 & 95.6319 & 96.2875 & -0.655575 & -0.331925 \tabularnewline
120 & 89.5 & 88.0878 & 96.6958 & -8.60803 & 1.41219 \tabularnewline
121 & 91.3 & 96.6344 & 97.1625 & -0.528124 & -5.33438 \tabularnewline
122 & 96.3 & 94.7621 & 97.65 & -2.88793 & 1.53793 \tabularnewline
123 & 106.7 & 104.99 & 98.2083 & 6.78131 & 1.71035 \tabularnewline
124 & 100.9 & 99.417 & 98.5792 & 0.837823 & 1.48301 \tabularnewline
125 & 92.8 & 97.3139 & 98.975 & -1.66114 & -4.51386 \tabularnewline
126 & 107.9 & 104.138 & 99.6125 & 4.52532 & 3.76218 \tabularnewline
127 & 95.7 & 95.3351 & 100.246 & -4.91072 & 0.364888 \tabularnewline
128 & 94.9 & 94.3763 & 100.562 & -6.18621 & 0.523712 \tabularnewline
129 & 107.9 & 106.855 & 100.808 & 6.04712 & 1.04455 \tabularnewline
130 & 105.5 & 108.009 & 100.762 & 7.24614 & -2.50864 \tabularnewline
131 & 101.3 & 100.332 & 100.988 & -0.655575 & 0.968075 \tabularnewline
132 & 98.8 & 92.5003 & 101.108 & -8.60803 & 6.29969 \tabularnewline
133 & 97.2 & 99.9469 & 100.475 & -0.528124 & -2.74688 \tabularnewline
134 & 98 & 97.3579 & 100.246 & -2.88793 & 0.642094 \tabularnewline
135 & 110.9 & 107.102 & 100.321 & 6.78131 & 3.79785 \tabularnewline
136 & 95.6 & 100.867 & 100.029 & 0.837823 & -5.26699 \tabularnewline
137 & 103.5 & 98.0555 & 99.7167 & -1.66114 & 5.44447 \tabularnewline
138 & 100.1 & 103.942 & 99.4167 & 4.52532 & -3.84199 \tabularnewline
139 & 88.3 & 94.3184 & 99.2292 & -4.91072 & -6.01844 \tabularnewline
140 & 96.8 & 93.1805 & 99.3667 & -6.18621 & 3.61955 \tabularnewline
141 & 107.8 & 105.335 & 99.2875 & 6.04712 & 2.46538 \tabularnewline
142 & 98.6 & 106.392 & 99.1458 & 7.24614 & -7.79197 \tabularnewline
143 & 100.7 & 98.3361 & 98.9917 & -0.655575 & 2.36391 \tabularnewline
144 & 92.2 & 90.4336 & 99.0417 & -8.60803 & 1.76636 \tabularnewline
145 & 99.3 & 99.101 & 99.6292 & -0.528124 & 0.198957 \tabularnewline
146 & 99.2 & 97.2579 & 100.146 & -2.88793 & 1.94209 \tabularnewline
147 & 107.8 & 106.835 & 100.054 & 6.78131 & 0.964521 \tabularnewline
148 & 95.3 & 101.142 & 100.304 & 0.837823 & -5.84199 \tabularnewline
149 & 100.1 & 99.118 & 100.779 & -1.66114 & 0.981969 \tabularnewline
150 & 104.7 & 105.013 & 100.487 & 4.52532 & -0.312823 \tabularnewline
151 & 97.8 & 95.4101 & 100.321 & -4.91072 & 2.38989 \tabularnewline
152 & 99.7 & 94.093 & 100.279 & -6.18621 & 5.60705 \tabularnewline
153 & 102.7 & 105.793 & 99.7458 & 6.04712 & -3.09295 \tabularnewline
154 & 109.7 & 106.738 & 99.4917 & 7.24614 & 2.96219 \tabularnewline
155 & 101 & 98.7278 & 99.3833 & -0.655575 & 2.27224 \tabularnewline
156 & 84.9 & 90.167 & 98.775 & -8.60803 & -5.26697 \tabularnewline
157 & 102.6 & 97.7594 & 98.2875 & -0.528124 & 4.84062 \tabularnewline
158 & 94.9 & 94.8579 & 97.7458 & -2.88793 & 0.0420943 \tabularnewline
159 & 99.3 & 103.86 & 97.0792 & 6.78131 & -4.56048 \tabularnewline
160 & 97.7 & 97.4795 & 96.6417 & 0.837823 & 0.22051 \tabularnewline
161 & 95.1 & 94.3055 & 95.9667 & -1.66114 & 0.794469 \tabularnewline
162 & 95.1 & 99.9753 & 95.45 & 4.52532 & -4.87532 \tabularnewline
163 & 95.7 & 90.1643 & 95.075 & -4.91072 & 5.53572 \tabularnewline
164 & 88.8 & 88.3763 & 94.5625 & -6.18621 & 0.423712 \tabularnewline
165 & 97.6 & 100.455 & 94.4083 & 6.04712 & -2.85545 \tabularnewline
166 & 104.3 & 101.7 & 94.4542 & 7.24614 & 2.59969 \tabularnewline
167 & 90.2 & 93.6903 & 94.3458 & -0.655575 & -3.49026 \tabularnewline
168 & 83.3 & 85.7795 & 94.3875 & -8.60803 & -2.47947 \tabularnewline
169 & 95.2 & 94.0969 & 94.625 & -0.528124 & 1.10312 \tabularnewline
170 & 90 & 91.8871 & 94.775 & -2.88793 & -1.88707 \tabularnewline
171 & 100.5 & 101.915 & 95.1333 & 6.78131 & -1.41465 \tabularnewline
172 & 97.6 & 96.2128 & 95.375 & 0.837823 & 1.38718 \tabularnewline
173 & 92.6 & 93.6264 & 95.2875 & -1.66114 & -1.02636 \tabularnewline
174 & 98.6 & 99.8878 & 95.3625 & 4.52532 & -1.28782 \tabularnewline
175 & 97.9 & 90.5684 & 95.4792 & -4.91072 & 7.33156 \tabularnewline
176 & 90.2 & 89.3971 & 95.5833 & -6.18621 & 0.802879 \tabularnewline
177 & 104.8 & 101.939 & 95.8917 & 6.04712 & 2.86121 \tabularnewline
178 & 102.9 & 103.367 & 96.1208 & 7.24614 & -0.466974 \tabularnewline
179 & 89.5 & 95.3653 & 96.0208 & -0.655575 & -5.86526 \tabularnewline
180 & 85.8 & 87.5795 & 96.1875 & -8.60803 & -1.77947 \tabularnewline
181 & 95.5 & 95.8385 & 96.3667 & -0.528124 & -0.338543 \tabularnewline
182 & 92.2 & 93.3371 & 96.225 & -2.88793 & -1.13707 \tabularnewline
183 & 105.7 & 102.994 & 96.2125 & 6.78131 & 2.70619 \tabularnewline
184 & 97.9 & 97.167 & 96.3292 & 0.837823 & 0.73301 \tabularnewline
185 & 89.9 & 95.0055 & 96.6667 & -1.66114 & -5.10553 \tabularnewline
186 & 105.3 & 101.679 & 97.1542 & 4.52532 & 3.62051 \tabularnewline
187 & 95.5 & 92.3018 & 97.2125 & -4.91072 & 3.19822 \tabularnewline
188 & 89.2 & 90.9721 & 97.1583 & -6.18621 & -1.77212 \tabularnewline
189 & 105.5 & 103.218 & 97.1708 & 6.04712 & 2.28205 \tabularnewline
190 & 105 & 104.404 & 97.1583 & 7.24614 & 0.595526 \tabularnewline
191 & 95.5 & 97.0486 & 97.7042 & -0.655575 & -1.54859 \tabularnewline
192 & 91.5 & 89.417 & 98.025 & -8.60803 & 2.08303 \tabularnewline
193 & 91.2 & 97.026 & 97.5542 & -0.528124 & -5.82604 \tabularnewline
194 & 95.2 & 94.5246 & 97.4125 & -2.88793 & 0.675428 \tabularnewline
195 & 103 & 104.335 & 97.5542 & 6.78131 & -1.33548 \tabularnewline
196 & 100.3 & 98.1045 & 97.2667 & 0.837823 & 2.19551 \tabularnewline
197 & 100.6 & 95.518 & 97.1792 & -1.66114 & 5.08197 \tabularnewline
198 & 102.3 & 101.829 & 97.3042 & 4.52532 & 0.47051 \tabularnewline
199 & 87.2 & 92.6143 & 97.525 & -4.91072 & -5.41428 \tabularnewline
200 & 94.1 & 91.5596 & 97.7458 & -6.18621 & 2.54038 \tabularnewline
201 & 104 & 103.989 & 97.9417 & 6.04712 & 0.011212 \tabularnewline
202 & 99.6 & 105.079 & 97.8333 & 7.24614 & -5.47947 \tabularnewline
203 & 98.8 & 96.8653 & 97.5208 & -0.655575 & 1.93474 \tabularnewline
204 & 91.2 & 89.0753 & 97.6833 & -8.60803 & 2.12469 \tabularnewline
205 & 96.8 & 97.4927 & 98.0208 & -0.528124 & -0.69271 \tabularnewline
206 & 94.9 & 95.3412 & 98.2292 & -2.88793 & -0.441239 \tabularnewline
207 & 108 & NA & NA & 6.78131 & NA \tabularnewline
208 & 92.7 & NA & NA & 0.837823 & NA \tabularnewline
209 & 100.7 & NA & NA & -1.66114 & NA \tabularnewline
210 & 106.1 & NA & NA & 4.52532 & NA \tabularnewline
211 & 91.5 & NA & NA & -4.91072 & NA \tabularnewline
212 & 94.8 & NA & NA & -6.18621 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309289&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]85[/C][C]NA[/C][C]NA[/C][C]-0.528124[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]92.7[/C][C]NA[/C][C]NA[/C][C]-2.88793[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]102.2[/C][C]NA[/C][C]NA[/C][C]6.78131[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]88.5[/C][C]NA[/C][C]NA[/C][C]0.837823[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]101.8[/C][C]NA[/C][C]NA[/C][C]-1.66114[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]95.6[/C][C]NA[/C][C]NA[/C][C]4.52532[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]84.2[/C][C]88.7101[/C][C]93.6208[/C][C]-4.91072[/C][C]-4.51011[/C][/ROW]
[ROW][C]8[/C][C]84.9[/C][C]88.0763[/C][C]94.2625[/C][C]-6.18621[/C][C]-3.17629[/C][/ROW]
[ROW][C]9[/C][C]98.6[/C][C]100.464[/C][C]94.4167[/C][C]6.04712[/C][C]-1.86379[/C][/ROW]
[ROW][C]10[/C][C]102.7[/C][C]101.942[/C][C]94.6958[/C][C]7.24614[/C][C]0.758026[/C][/ROW]
[ROW][C]11[/C][C]96.1[/C][C]93.9819[/C][C]94.6375[/C][C]-0.655575[/C][C]2.11807[/C][/ROW]
[ROW][C]12[/C][C]83.9[/C][C]85.9045[/C][C]94.5125[/C][C]-8.60803[/C][C]-2.00447[/C][/ROW]
[ROW][C]13[/C][C]99.5[/C][C]94.2635[/C][C]94.7917[/C][C]-0.528124[/C][C]5.23646[/C][/ROW]
[ROW][C]14[/C][C]93.6[/C][C]92.2662[/C][C]95.1542[/C][C]-2.88793[/C][C]1.33376[/C][/ROW]
[ROW][C]15[/C][C]105[/C][C]102.002[/C][C]95.2208[/C][C]6.78131[/C][C]2.99785[/C][/ROW]
[ROW][C]16[/C][C]92.4[/C][C]95.9753[/C][C]95.1375[/C][C]0.837823[/C][C]-3.57532[/C][/ROW]
[ROW][C]17[/C][C]96.5[/C][C]93.4597[/C][C]95.1208[/C][C]-1.66114[/C][C]3.0403[/C][/ROW]
[ROW][C]18[/C][C]97.9[/C][C]99.4337[/C][C]94.9083[/C][C]4.52532[/C][C]-1.53366[/C][/ROW]
[ROW][C]19[/C][C]88.6[/C][C]89.7684[/C][C]94.6792[/C][C]-4.91072[/C][C]-1.16844[/C][/ROW]
[ROW][C]20[/C][C]89.2[/C][C]88.318[/C][C]94.5042[/C][C]-6.18621[/C][C]0.882045[/C][/ROW]
[ROW][C]21[/C][C]95.9[/C][C]100.251[/C][C]94.2042[/C][C]6.04712[/C][C]-4.35129[/C][/ROW]
[ROW][C]22[/C][C]103.4[/C][C]101.538[/C][C]94.2917[/C][C]7.24614[/C][C]1.86219[/C][/ROW]
[ROW][C]23[/C][C]95[/C][C]93.8528[/C][C]94.5083[/C][C]-0.655575[/C][C]1.14724[/C][/ROW]
[ROW][C]24[/C][C]79.9[/C][C]85.8086[/C][C]94.4167[/C][C]-8.60803[/C][C]-5.90864[/C][/ROW]
[ROW][C]25[/C][C]98[/C][C]93.9719[/C][C]94.5[/C][C]-0.528124[/C][C]4.02812[/C][/ROW]
[ROW][C]26[/C][C]90.9[/C][C]91.5579[/C][C]94.4458[/C][C]-2.88793[/C][C]-0.657906[/C][/ROW]
[ROW][C]27[/C][C]100.5[/C][C]101.219[/C][C]94.4375[/C][C]6.78131[/C][C]-0.718813[/C][/ROW]
[ROW][C]28[/C][C]99[/C][C]95.5628[/C][C]94.725[/C][C]0.837823[/C][C]3.43718[/C][/ROW]
[ROW][C]29[/C][C]95.1[/C][C]93.1847[/C][C]94.8458[/C][C]-1.66114[/C][C]1.9153[/C][/ROW]
[ROW][C]30[/C][C]97.1[/C][C]99.4628[/C][C]94.9375[/C][C]4.52532[/C][C]-2.36282[/C][/ROW]
[ROW][C]31[/C][C]91.4[/C][C]90.1934[/C][C]95.1042[/C][C]-4.91072[/C][C]1.20656[/C][/ROW]
[ROW][C]32[/C][C]85.1[/C][C]89.0221[/C][C]95.2083[/C][C]-6.18621[/C][C]-3.92212[/C][/ROW]
[ROW][C]33[/C][C]99.8[/C][C]101.147[/C][C]95.1[/C][C]6.04712[/C][C]-1.34712[/C][/ROW]
[ROW][C]34[/C][C]106.4[/C][C]102.179[/C][C]94.9333[/C][C]7.24614[/C][C]4.22053[/C][/ROW]
[ROW][C]35[/C][C]94.9[/C][C]94.0694[/C][C]94.725[/C][C]-0.655575[/C][C]0.830575[/C][/ROW]
[ROW][C]36[/C][C]82.2[/C][C]85.8128[/C][C]94.4208[/C][C]-8.60803[/C][C]-3.61281[/C][/ROW]
[ROW][C]37[/C][C]99.7[/C][C]93.801[/C][C]94.3292[/C][C]-0.528124[/C][C]5.89896[/C][/ROW]
[ROW][C]38[/C][C]91.7[/C][C]91.3746[/C][C]94.2625[/C][C]-2.88793[/C][C]0.325428[/C][/ROW]
[ROW][C]39[/C][C]97.1[/C][C]101.006[/C][C]94.225[/C][C]6.78131[/C][C]-3.90631[/C][/ROW]
[ROW][C]40[/C][C]98.4[/C][C]95.0003[/C][C]94.1625[/C][C]0.837823[/C][C]3.39968[/C][/ROW]
[ROW][C]41[/C][C]90.7[/C][C]92.1097[/C][C]93.7708[/C][C]-1.66114[/C][C]-1.4097[/C][/ROW]
[ROW][C]42[/C][C]94.2[/C][C]98.2128[/C][C]93.6875[/C][C]4.52532[/C][C]-4.01282[/C][/ROW]
[ROW][C]43[/C][C]92.1[/C][C]88.7018[/C][C]93.6125[/C][C]-4.91072[/C][C]3.39822[/C][/ROW]
[ROW][C]44[/C][C]82.8[/C][C]87.1971[/C][C]93.3833[/C][C]-6.18621[/C][C]-4.39712[/C][/ROW]
[ROW][C]45[/C][C]101.2[/C][C]99.8721[/C][C]93.825[/C][C]6.04712[/C][C]1.32788[/C][/ROW]
[ROW][C]46[/C][C]103.5[/C][C]101.563[/C][C]94.3167[/C][C]7.24614[/C][C]1.93719[/C][/ROW]
[ROW][C]47[/C][C]88.4[/C][C]93.7194[/C][C]94.375[/C][C]-0.655575[/C][C]-5.31943[/C][/ROW]
[ROW][C]48[/C][C]86.7[/C][C]86.1961[/C][C]94.8042[/C][C]-8.60803[/C][C]0.503859[/C][/ROW]
[ROW][C]49[/C][C]93.4[/C][C]94.5885[/C][C]95.1167[/C][C]-0.528124[/C][C]-1.18854[/C][/ROW]
[ROW][C]50[/C][C]92.5[/C][C]92.4454[/C][C]95.3333[/C][C]-2.88793[/C][C]0.0545943[/C][/ROW]
[ROW][C]51[/C][C]106.9[/C][C]102.631[/C][C]95.85[/C][C]6.78131[/C][C]4.26869[/C][/ROW]
[ROW][C]52[/C][C]100.4[/C][C]96.7045[/C][C]95.8667[/C][C]0.837823[/C][C]3.69551[/C][/ROW]
[ROW][C]53[/C][C]90.1[/C][C]94.368[/C][C]96.0292[/C][C]-1.66114[/C][C]-4.26803[/C][/ROW]
[ROW][C]54[/C][C]105.1[/C][C]101.013[/C][C]96.4875[/C][C]4.52532[/C][C]4.08718[/C][/ROW]
[ROW][C]55[/C][C]88.7[/C][C]91.7143[/C][C]96.625[/C][C]-4.91072[/C][C]-3.01428[/C][/ROW]
[ROW][C]56[/C][C]91.4[/C][C]90.3471[/C][C]96.5333[/C][C]-6.18621[/C][C]1.05288[/C][/ROW]
[ROW][C]57[/C][C]105[/C][C]102.26[/C][C]96.2125[/C][C]6.04712[/C][C]2.74038[/C][/ROW]
[ROW][C]58[/C][C]100.1[/C][C]103.104[/C][C]95.8583[/C][C]7.24614[/C][C]-3.00447[/C][/ROW]
[ROW][C]59[/C][C]95.7[/C][C]95.1861[/C][C]95.8417[/C][C]-0.655575[/C][C]0.513908[/C][/ROW]
[ROW][C]60[/C][C]90.4[/C][C]87.2878[/C][C]95.8958[/C][C]-8.60803[/C][C]3.11219[/C][/ROW]
[ROW][C]61[/C][C]93[/C][C]95.2802[/C][C]95.8083[/C][C]-0.528124[/C][C]-2.28021[/C][/ROW]
[ROW][C]62[/C][C]90.7[/C][C]92.8496[/C][C]95.7375[/C][C]-2.88793[/C][C]-2.14957[/C][/ROW]
[ROW][C]63[/C][C]101[/C][C]102.469[/C][C]95.6875[/C][C]6.78131[/C][C]-1.46881[/C][/ROW]
[ROW][C]64[/C][C]97.8[/C][C]96.3503[/C][C]95.5125[/C][C]0.837823[/C][C]1.44968[/C][/ROW]
[ROW][C]65[/C][C]92.3[/C][C]93.793[/C][C]95.4542[/C][C]-1.66114[/C][C]-1.49303[/C][/ROW]
[ROW][C]66[/C][C]104.2[/C][C]100.167[/C][C]95.6417[/C][C]4.52532[/C][C]4.03301[/C][/ROW]
[ROW][C]67[/C][C]87.5[/C][C]90.9476[/C][C]95.8583[/C][C]-4.91072[/C][C]-3.44761[/C][/ROW]
[ROW][C]68[/C][C]90.9[/C][C]89.9388[/C][C]96.125[/C][C]-6.18621[/C][C]0.961212[/C][/ROW]
[ROW][C]69[/C][C]104.3[/C][C]102.639[/C][C]96.5917[/C][C]6.04712[/C][C]1.66121[/C][/ROW]
[ROW][C]70[/C][C]96.6[/C][C]104.038[/C][C]96.7917[/C][C]7.24614[/C][C]-7.43781[/C][/ROW]
[ROW][C]71[/C][C]97.8[/C][C]96.3528[/C][C]97.0083[/C][C]-0.655575[/C][C]1.44724[/C][/ROW]
[ROW][C]72[/C][C]92.8[/C][C]88.742[/C][C]97.35[/C][C]-8.60803[/C][C]4.05803[/C][/ROW]
[ROW][C]73[/C][C]95.8[/C][C]96.8677[/C][C]97.3958[/C][C]-0.528124[/C][C]-1.06771[/C][/ROW]
[ROW][C]74[/C][C]94.3[/C][C]94.7079[/C][C]97.5958[/C][C]-2.88793[/C][C]-0.407906[/C][/ROW]
[ROW][C]75[/C][C]108.6[/C][C]104.51[/C][C]97.7292[/C][C]6.78131[/C][C]4.08952[/C][/ROW]
[ROW][C]76[/C][C]95[/C][C]99.0628[/C][C]98.225[/C][C]0.837823[/C][C]-4.06282[/C][/ROW]
[ROW][C]77[/C][C]100.3[/C][C]97.3805[/C][C]99.0417[/C][C]-1.66114[/C][C]2.91947[/C][/ROW]
[ROW][C]78[/C][C]104.4[/C][C]103.929[/C][C]99.4042[/C][C]4.52532[/C][C]0.47051[/C][/ROW]
[ROW][C]79[/C][C]88.4[/C][C]94.7809[/C][C]99.6917[/C][C]-4.91072[/C][C]-6.38094[/C][/ROW]
[ROW][C]80[/C][C]94.8[/C][C]94.0055[/C][C]100.192[/C][C]-6.18621[/C][C]0.794545[/C][/ROW]
[ROW][C]81[/C][C]103.6[/C][C]106.747[/C][C]100.7[/C][C]6.04712[/C][C]-3.14712[/C][/ROW]
[ROW][C]82[/C][C]109.2[/C][C]108.417[/C][C]101.171[/C][C]7.24614[/C][C]0.783026[/C][/ROW]
[ROW][C]83[/C][C]104.8[/C][C]101.003[/C][C]101.658[/C][C]-0.655575[/C][C]3.79724[/C][/ROW]
[ROW][C]84[/C][C]94.5[/C][C]93.6003[/C][C]102.208[/C][C]-8.60803[/C][C]0.899692[/C][/ROW]
[ROW][C]85[/C][C]101[/C][C]102.647[/C][C]103.175[/C][C]-0.528124[/C][C]-1.64688[/C][/ROW]
[ROW][C]86[/C][C]101.1[/C][C]101.22[/C][C]104.108[/C][C]-2.88793[/C][C]-0.120406[/C][/ROW]
[ROW][C]87[/C][C]114[/C][C]111.431[/C][C]104.65[/C][C]6.78131[/C][C]2.56869[/C][/ROW]
[ROW][C]88[/C][C]100.9[/C][C]106.267[/C][C]105.429[/C][C]0.837823[/C][C]-5.36699[/C][/ROW]
[ROW][C]89[/C][C]106.1[/C][C]104.46[/C][C]106.121[/C][C]-1.66114[/C][C]1.6403[/C][/ROW]
[ROW][C]90[/C][C]111.8[/C][C]110.817[/C][C]106.292[/C][C]4.52532[/C][C]0.98301[/C][/ROW]
[ROW][C]91[/C][C]104.2[/C][C]101.885[/C][C]106.796[/C][C]-4.91072[/C][C]2.31489[/C][/ROW]
[ROW][C]92[/C][C]101.4[/C][C]101.468[/C][C]107.654[/C][C]-6.18621[/C][C]-0.0679547[/C][/ROW]
[ROW][C]93[/C][C]110[/C][C]113.801[/C][C]107.754[/C][C]6.04712[/C][C]-3.80129[/C][/ROW]
[ROW][C]94[/C][C]121.5[/C][C]115.329[/C][C]108.083[/C][C]7.24614[/C][C]6.17053[/C][/ROW]
[ROW][C]95[/C][C]109.1[/C][C]107.969[/C][C]108.625[/C][C]-0.655575[/C][C]1.13057[/C][/ROW]
[ROW][C]96[/C][C]94.3[/C][C]99.9836[/C][C]108.592[/C][C]-8.60803[/C][C]-5.68364[/C][/ROW]
[ROW][C]97[/C][C]113.3[/C][C]108.039[/C][C]108.567[/C][C]-0.528124[/C][C]5.26146[/C][/ROW]
[ROW][C]98[/C][C]109.4[/C][C]105.454[/C][C]108.342[/C][C]-2.88793[/C][C]3.94626[/C][/ROW]
[ROW][C]99[/C][C]108.1[/C][C]115.123[/C][C]108.342[/C][C]6.78131[/C][C]-7.02298[/C][/ROW]
[ROW][C]100[/C][C]114.7[/C][C]109.142[/C][C]108.304[/C][C]0.837823[/C][C]5.55801[/C][/ROW]
[ROW][C]101[/C][C]105.3[/C][C]105.964[/C][C]107.625[/C][C]-1.66114[/C][C]-0.663865[/C][/ROW]
[ROW][C]102[/C][C]111.8[/C][C]111.775[/C][C]107.25[/C][C]4.52532[/C][C]0.024677[/C][/ROW]
[ROW][C]103[/C][C]103.6[/C][C]101.564[/C][C]106.475[/C][C]-4.91072[/C][C]2.03572[/C][/ROW]
[ROW][C]104[/C][C]96.6[/C][C]98.7055[/C][C]104.892[/C][C]-6.18621[/C][C]-2.10545[/C][/ROW]
[ROW][C]105[/C][C]114.8[/C][C]109.918[/C][C]103.871[/C][C]6.04712[/C][C]4.88205[/C][/ROW]
[ROW][C]106[/C][C]115.8[/C][C]110.125[/C][C]102.879[/C][C]7.24614[/C][C]5.67469[/C][/ROW]
[ROW][C]107[/C][C]98.5[/C][C]100.894[/C][C]101.55[/C][C]-0.655575[/C][C]-2.39443[/C][/ROW]
[ROW][C]108[/C][C]95.9[/C][C]91.8503[/C][C]100.458[/C][C]-8.60803[/C][C]4.04969[/C][/ROW]
[ROW][C]109[/C][C]93.1[/C][C]98.9719[/C][C]99.5[/C][C]-0.528124[/C][C]-5.87188[/C][/ROW]
[ROW][C]110[/C][C]91.6[/C][C]95.7246[/C][C]98.6125[/C][C]-2.88793[/C][C]-4.12457[/C][/ROW]
[ROW][C]111[/C][C]101.4[/C][C]104.477[/C][C]97.6958[/C][C]6.78131[/C][C]-3.07715[/C][/ROW]
[ROW][C]112[/C][C]97.6[/C][C]97.4462[/C][C]96.6083[/C][C]0.837823[/C][C]0.153844[/C][/ROW]
[ROW][C]113[/C][C]90.5[/C][C]94.2389[/C][C]95.9[/C][C]-1.66114[/C][C]-3.73886[/C][/ROW]
[ROW][C]114[/C][C]100.4[/C][C]100.025[/C][C]95.5[/C][C]4.52532[/C][C]0.374677[/C][/ROW]
[ROW][C]115[/C][C]92[/C][C]90.2476[/C][C]95.1583[/C][C]-4.91072[/C][C]1.75239[/C][/ROW]
[ROW][C]116[/C][C]86.9[/C][C]89.093[/C][C]95.2792[/C][C]-6.18621[/C][C]-2.19295[/C][/ROW]
[ROW][C]117[/C][C]102.5[/C][C]101.743[/C][C]95.6958[/C][C]6.04712[/C][C]0.757045[/C][/ROW]
[ROW][C]118[/C][C]102[/C][C]103.3[/C][C]96.0542[/C][C]7.24614[/C][C]-1.30031[/C][/ROW]
[ROW][C]119[/C][C]95.3[/C][C]95.6319[/C][C]96.2875[/C][C]-0.655575[/C][C]-0.331925[/C][/ROW]
[ROW][C]120[/C][C]89.5[/C][C]88.0878[/C][C]96.6958[/C][C]-8.60803[/C][C]1.41219[/C][/ROW]
[ROW][C]121[/C][C]91.3[/C][C]96.6344[/C][C]97.1625[/C][C]-0.528124[/C][C]-5.33438[/C][/ROW]
[ROW][C]122[/C][C]96.3[/C][C]94.7621[/C][C]97.65[/C][C]-2.88793[/C][C]1.53793[/C][/ROW]
[ROW][C]123[/C][C]106.7[/C][C]104.99[/C][C]98.2083[/C][C]6.78131[/C][C]1.71035[/C][/ROW]
[ROW][C]124[/C][C]100.9[/C][C]99.417[/C][C]98.5792[/C][C]0.837823[/C][C]1.48301[/C][/ROW]
[ROW][C]125[/C][C]92.8[/C][C]97.3139[/C][C]98.975[/C][C]-1.66114[/C][C]-4.51386[/C][/ROW]
[ROW][C]126[/C][C]107.9[/C][C]104.138[/C][C]99.6125[/C][C]4.52532[/C][C]3.76218[/C][/ROW]
[ROW][C]127[/C][C]95.7[/C][C]95.3351[/C][C]100.246[/C][C]-4.91072[/C][C]0.364888[/C][/ROW]
[ROW][C]128[/C][C]94.9[/C][C]94.3763[/C][C]100.562[/C][C]-6.18621[/C][C]0.523712[/C][/ROW]
[ROW][C]129[/C][C]107.9[/C][C]106.855[/C][C]100.808[/C][C]6.04712[/C][C]1.04455[/C][/ROW]
[ROW][C]130[/C][C]105.5[/C][C]108.009[/C][C]100.762[/C][C]7.24614[/C][C]-2.50864[/C][/ROW]
[ROW][C]131[/C][C]101.3[/C][C]100.332[/C][C]100.988[/C][C]-0.655575[/C][C]0.968075[/C][/ROW]
[ROW][C]132[/C][C]98.8[/C][C]92.5003[/C][C]101.108[/C][C]-8.60803[/C][C]6.29969[/C][/ROW]
[ROW][C]133[/C][C]97.2[/C][C]99.9469[/C][C]100.475[/C][C]-0.528124[/C][C]-2.74688[/C][/ROW]
[ROW][C]134[/C][C]98[/C][C]97.3579[/C][C]100.246[/C][C]-2.88793[/C][C]0.642094[/C][/ROW]
[ROW][C]135[/C][C]110.9[/C][C]107.102[/C][C]100.321[/C][C]6.78131[/C][C]3.79785[/C][/ROW]
[ROW][C]136[/C][C]95.6[/C][C]100.867[/C][C]100.029[/C][C]0.837823[/C][C]-5.26699[/C][/ROW]
[ROW][C]137[/C][C]103.5[/C][C]98.0555[/C][C]99.7167[/C][C]-1.66114[/C][C]5.44447[/C][/ROW]
[ROW][C]138[/C][C]100.1[/C][C]103.942[/C][C]99.4167[/C][C]4.52532[/C][C]-3.84199[/C][/ROW]
[ROW][C]139[/C][C]88.3[/C][C]94.3184[/C][C]99.2292[/C][C]-4.91072[/C][C]-6.01844[/C][/ROW]
[ROW][C]140[/C][C]96.8[/C][C]93.1805[/C][C]99.3667[/C][C]-6.18621[/C][C]3.61955[/C][/ROW]
[ROW][C]141[/C][C]107.8[/C][C]105.335[/C][C]99.2875[/C][C]6.04712[/C][C]2.46538[/C][/ROW]
[ROW][C]142[/C][C]98.6[/C][C]106.392[/C][C]99.1458[/C][C]7.24614[/C][C]-7.79197[/C][/ROW]
[ROW][C]143[/C][C]100.7[/C][C]98.3361[/C][C]98.9917[/C][C]-0.655575[/C][C]2.36391[/C][/ROW]
[ROW][C]144[/C][C]92.2[/C][C]90.4336[/C][C]99.0417[/C][C]-8.60803[/C][C]1.76636[/C][/ROW]
[ROW][C]145[/C][C]99.3[/C][C]99.101[/C][C]99.6292[/C][C]-0.528124[/C][C]0.198957[/C][/ROW]
[ROW][C]146[/C][C]99.2[/C][C]97.2579[/C][C]100.146[/C][C]-2.88793[/C][C]1.94209[/C][/ROW]
[ROW][C]147[/C][C]107.8[/C][C]106.835[/C][C]100.054[/C][C]6.78131[/C][C]0.964521[/C][/ROW]
[ROW][C]148[/C][C]95.3[/C][C]101.142[/C][C]100.304[/C][C]0.837823[/C][C]-5.84199[/C][/ROW]
[ROW][C]149[/C][C]100.1[/C][C]99.118[/C][C]100.779[/C][C]-1.66114[/C][C]0.981969[/C][/ROW]
[ROW][C]150[/C][C]104.7[/C][C]105.013[/C][C]100.487[/C][C]4.52532[/C][C]-0.312823[/C][/ROW]
[ROW][C]151[/C][C]97.8[/C][C]95.4101[/C][C]100.321[/C][C]-4.91072[/C][C]2.38989[/C][/ROW]
[ROW][C]152[/C][C]99.7[/C][C]94.093[/C][C]100.279[/C][C]-6.18621[/C][C]5.60705[/C][/ROW]
[ROW][C]153[/C][C]102.7[/C][C]105.793[/C][C]99.7458[/C][C]6.04712[/C][C]-3.09295[/C][/ROW]
[ROW][C]154[/C][C]109.7[/C][C]106.738[/C][C]99.4917[/C][C]7.24614[/C][C]2.96219[/C][/ROW]
[ROW][C]155[/C][C]101[/C][C]98.7278[/C][C]99.3833[/C][C]-0.655575[/C][C]2.27224[/C][/ROW]
[ROW][C]156[/C][C]84.9[/C][C]90.167[/C][C]98.775[/C][C]-8.60803[/C][C]-5.26697[/C][/ROW]
[ROW][C]157[/C][C]102.6[/C][C]97.7594[/C][C]98.2875[/C][C]-0.528124[/C][C]4.84062[/C][/ROW]
[ROW][C]158[/C][C]94.9[/C][C]94.8579[/C][C]97.7458[/C][C]-2.88793[/C][C]0.0420943[/C][/ROW]
[ROW][C]159[/C][C]99.3[/C][C]103.86[/C][C]97.0792[/C][C]6.78131[/C][C]-4.56048[/C][/ROW]
[ROW][C]160[/C][C]97.7[/C][C]97.4795[/C][C]96.6417[/C][C]0.837823[/C][C]0.22051[/C][/ROW]
[ROW][C]161[/C][C]95.1[/C][C]94.3055[/C][C]95.9667[/C][C]-1.66114[/C][C]0.794469[/C][/ROW]
[ROW][C]162[/C][C]95.1[/C][C]99.9753[/C][C]95.45[/C][C]4.52532[/C][C]-4.87532[/C][/ROW]
[ROW][C]163[/C][C]95.7[/C][C]90.1643[/C][C]95.075[/C][C]-4.91072[/C][C]5.53572[/C][/ROW]
[ROW][C]164[/C][C]88.8[/C][C]88.3763[/C][C]94.5625[/C][C]-6.18621[/C][C]0.423712[/C][/ROW]
[ROW][C]165[/C][C]97.6[/C][C]100.455[/C][C]94.4083[/C][C]6.04712[/C][C]-2.85545[/C][/ROW]
[ROW][C]166[/C][C]104.3[/C][C]101.7[/C][C]94.4542[/C][C]7.24614[/C][C]2.59969[/C][/ROW]
[ROW][C]167[/C][C]90.2[/C][C]93.6903[/C][C]94.3458[/C][C]-0.655575[/C][C]-3.49026[/C][/ROW]
[ROW][C]168[/C][C]83.3[/C][C]85.7795[/C][C]94.3875[/C][C]-8.60803[/C][C]-2.47947[/C][/ROW]
[ROW][C]169[/C][C]95.2[/C][C]94.0969[/C][C]94.625[/C][C]-0.528124[/C][C]1.10312[/C][/ROW]
[ROW][C]170[/C][C]90[/C][C]91.8871[/C][C]94.775[/C][C]-2.88793[/C][C]-1.88707[/C][/ROW]
[ROW][C]171[/C][C]100.5[/C][C]101.915[/C][C]95.1333[/C][C]6.78131[/C][C]-1.41465[/C][/ROW]
[ROW][C]172[/C][C]97.6[/C][C]96.2128[/C][C]95.375[/C][C]0.837823[/C][C]1.38718[/C][/ROW]
[ROW][C]173[/C][C]92.6[/C][C]93.6264[/C][C]95.2875[/C][C]-1.66114[/C][C]-1.02636[/C][/ROW]
[ROW][C]174[/C][C]98.6[/C][C]99.8878[/C][C]95.3625[/C][C]4.52532[/C][C]-1.28782[/C][/ROW]
[ROW][C]175[/C][C]97.9[/C][C]90.5684[/C][C]95.4792[/C][C]-4.91072[/C][C]7.33156[/C][/ROW]
[ROW][C]176[/C][C]90.2[/C][C]89.3971[/C][C]95.5833[/C][C]-6.18621[/C][C]0.802879[/C][/ROW]
[ROW][C]177[/C][C]104.8[/C][C]101.939[/C][C]95.8917[/C][C]6.04712[/C][C]2.86121[/C][/ROW]
[ROW][C]178[/C][C]102.9[/C][C]103.367[/C][C]96.1208[/C][C]7.24614[/C][C]-0.466974[/C][/ROW]
[ROW][C]179[/C][C]89.5[/C][C]95.3653[/C][C]96.0208[/C][C]-0.655575[/C][C]-5.86526[/C][/ROW]
[ROW][C]180[/C][C]85.8[/C][C]87.5795[/C][C]96.1875[/C][C]-8.60803[/C][C]-1.77947[/C][/ROW]
[ROW][C]181[/C][C]95.5[/C][C]95.8385[/C][C]96.3667[/C][C]-0.528124[/C][C]-0.338543[/C][/ROW]
[ROW][C]182[/C][C]92.2[/C][C]93.3371[/C][C]96.225[/C][C]-2.88793[/C][C]-1.13707[/C][/ROW]
[ROW][C]183[/C][C]105.7[/C][C]102.994[/C][C]96.2125[/C][C]6.78131[/C][C]2.70619[/C][/ROW]
[ROW][C]184[/C][C]97.9[/C][C]97.167[/C][C]96.3292[/C][C]0.837823[/C][C]0.73301[/C][/ROW]
[ROW][C]185[/C][C]89.9[/C][C]95.0055[/C][C]96.6667[/C][C]-1.66114[/C][C]-5.10553[/C][/ROW]
[ROW][C]186[/C][C]105.3[/C][C]101.679[/C][C]97.1542[/C][C]4.52532[/C][C]3.62051[/C][/ROW]
[ROW][C]187[/C][C]95.5[/C][C]92.3018[/C][C]97.2125[/C][C]-4.91072[/C][C]3.19822[/C][/ROW]
[ROW][C]188[/C][C]89.2[/C][C]90.9721[/C][C]97.1583[/C][C]-6.18621[/C][C]-1.77212[/C][/ROW]
[ROW][C]189[/C][C]105.5[/C][C]103.218[/C][C]97.1708[/C][C]6.04712[/C][C]2.28205[/C][/ROW]
[ROW][C]190[/C][C]105[/C][C]104.404[/C][C]97.1583[/C][C]7.24614[/C][C]0.595526[/C][/ROW]
[ROW][C]191[/C][C]95.5[/C][C]97.0486[/C][C]97.7042[/C][C]-0.655575[/C][C]-1.54859[/C][/ROW]
[ROW][C]192[/C][C]91.5[/C][C]89.417[/C][C]98.025[/C][C]-8.60803[/C][C]2.08303[/C][/ROW]
[ROW][C]193[/C][C]91.2[/C][C]97.026[/C][C]97.5542[/C][C]-0.528124[/C][C]-5.82604[/C][/ROW]
[ROW][C]194[/C][C]95.2[/C][C]94.5246[/C][C]97.4125[/C][C]-2.88793[/C][C]0.675428[/C][/ROW]
[ROW][C]195[/C][C]103[/C][C]104.335[/C][C]97.5542[/C][C]6.78131[/C][C]-1.33548[/C][/ROW]
[ROW][C]196[/C][C]100.3[/C][C]98.1045[/C][C]97.2667[/C][C]0.837823[/C][C]2.19551[/C][/ROW]
[ROW][C]197[/C][C]100.6[/C][C]95.518[/C][C]97.1792[/C][C]-1.66114[/C][C]5.08197[/C][/ROW]
[ROW][C]198[/C][C]102.3[/C][C]101.829[/C][C]97.3042[/C][C]4.52532[/C][C]0.47051[/C][/ROW]
[ROW][C]199[/C][C]87.2[/C][C]92.6143[/C][C]97.525[/C][C]-4.91072[/C][C]-5.41428[/C][/ROW]
[ROW][C]200[/C][C]94.1[/C][C]91.5596[/C][C]97.7458[/C][C]-6.18621[/C][C]2.54038[/C][/ROW]
[ROW][C]201[/C][C]104[/C][C]103.989[/C][C]97.9417[/C][C]6.04712[/C][C]0.011212[/C][/ROW]
[ROW][C]202[/C][C]99.6[/C][C]105.079[/C][C]97.8333[/C][C]7.24614[/C][C]-5.47947[/C][/ROW]
[ROW][C]203[/C][C]98.8[/C][C]96.8653[/C][C]97.5208[/C][C]-0.655575[/C][C]1.93474[/C][/ROW]
[ROW][C]204[/C][C]91.2[/C][C]89.0753[/C][C]97.6833[/C][C]-8.60803[/C][C]2.12469[/C][/ROW]
[ROW][C]205[/C][C]96.8[/C][C]97.4927[/C][C]98.0208[/C][C]-0.528124[/C][C]-0.69271[/C][/ROW]
[ROW][C]206[/C][C]94.9[/C][C]95.3412[/C][C]98.2292[/C][C]-2.88793[/C][C]-0.441239[/C][/ROW]
[ROW][C]207[/C][C]108[/C][C]NA[/C][C]NA[/C][C]6.78131[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]92.7[/C][C]NA[/C][C]NA[/C][C]0.837823[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]100.7[/C][C]NA[/C][C]NA[/C][C]-1.66114[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]106.1[/C][C]NA[/C][C]NA[/C][C]4.52532[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]91.5[/C][C]NA[/C][C]NA[/C][C]-4.91072[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]94.8[/C][C]NA[/C][C]NA[/C][C]-6.18621[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309289&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309289&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
185NANA-0.528124NA
292.7NANA-2.88793NA
3102.2NANA6.78131NA
488.5NANA0.837823NA
5101.8NANA-1.66114NA
695.6NANA4.52532NA
784.288.710193.6208-4.91072-4.51011
884.988.076394.2625-6.18621-3.17629
998.6100.46494.41676.04712-1.86379
10102.7101.94294.69587.246140.758026
1196.193.981994.6375-0.6555752.11807
1283.985.904594.5125-8.60803-2.00447
1399.594.263594.7917-0.5281245.23646
1493.692.266295.1542-2.887931.33376
15105102.00295.22086.781312.99785
1692.495.975395.13750.837823-3.57532
1796.593.459795.1208-1.661143.0403
1897.999.433794.90834.52532-1.53366
1988.689.768494.6792-4.91072-1.16844
2089.288.31894.5042-6.186210.882045
2195.9100.25194.20426.04712-4.35129
22103.4101.53894.29177.246141.86219
239593.852894.5083-0.6555751.14724
2479.985.808694.4167-8.60803-5.90864
259893.971994.5-0.5281244.02812
2690.991.557994.4458-2.88793-0.657906
27100.5101.21994.43756.78131-0.718813
289995.562894.7250.8378233.43718
2995.193.184794.8458-1.661141.9153
3097.199.462894.93754.52532-2.36282
3191.490.193495.1042-4.910721.20656
3285.189.022195.2083-6.18621-3.92212
3399.8101.14795.16.04712-1.34712
34106.4102.17994.93337.246144.22053
3594.994.069494.725-0.6555750.830575
3682.285.812894.4208-8.60803-3.61281
3799.793.80194.3292-0.5281245.89896
3891.791.374694.2625-2.887930.325428
3997.1101.00694.2256.78131-3.90631
4098.495.000394.16250.8378233.39968
4190.792.109793.7708-1.66114-1.4097
4294.298.212893.68754.52532-4.01282
4392.188.701893.6125-4.910723.39822
4482.887.197193.3833-6.18621-4.39712
45101.299.872193.8256.047121.32788
46103.5101.56394.31677.246141.93719
4788.493.719494.375-0.655575-5.31943
4886.786.196194.8042-8.608030.503859
4993.494.588595.1167-0.528124-1.18854
5092.592.445495.3333-2.887930.0545943
51106.9102.63195.856.781314.26869
52100.496.704595.86670.8378233.69551
5390.194.36896.0292-1.66114-4.26803
54105.1101.01396.48754.525324.08718
5588.791.714396.625-4.91072-3.01428
5691.490.347196.5333-6.186211.05288
57105102.2696.21256.047122.74038
58100.1103.10495.85837.24614-3.00447
5995.795.186195.8417-0.6555750.513908
6090.487.287895.8958-8.608033.11219
619395.280295.8083-0.528124-2.28021
6290.792.849695.7375-2.88793-2.14957
63101102.46995.68756.78131-1.46881
6497.896.350395.51250.8378231.44968
6592.393.79395.4542-1.66114-1.49303
66104.2100.16795.64174.525324.03301
6787.590.947695.8583-4.91072-3.44761
6890.989.938896.125-6.186210.961212
69104.3102.63996.59176.047121.66121
7096.6104.03896.79177.24614-7.43781
7197.896.352897.0083-0.6555751.44724
7292.888.74297.35-8.608034.05803
7395.896.867797.3958-0.528124-1.06771
7494.394.707997.5958-2.88793-0.407906
75108.6104.5197.72926.781314.08952
769599.062898.2250.837823-4.06282
77100.397.380599.0417-1.661142.91947
78104.4103.92999.40424.525320.47051
7988.494.780999.6917-4.91072-6.38094
8094.894.0055100.192-6.186210.794545
81103.6106.747100.76.04712-3.14712
82109.2108.417101.1717.246140.783026
83104.8101.003101.658-0.6555753.79724
8494.593.6003102.208-8.608030.899692
85101102.647103.175-0.528124-1.64688
86101.1101.22104.108-2.88793-0.120406
87114111.431104.656.781312.56869
88100.9106.267105.4290.837823-5.36699
89106.1104.46106.121-1.661141.6403
90111.8110.817106.2924.525320.98301
91104.2101.885106.796-4.910722.31489
92101.4101.468107.654-6.18621-0.0679547
93110113.801107.7546.04712-3.80129
94121.5115.329108.0837.246146.17053
95109.1107.969108.625-0.6555751.13057
9694.399.9836108.592-8.60803-5.68364
97113.3108.039108.567-0.5281245.26146
98109.4105.454108.342-2.887933.94626
99108.1115.123108.3426.78131-7.02298
100114.7109.142108.3040.8378235.55801
101105.3105.964107.625-1.66114-0.663865
102111.8111.775107.254.525320.024677
103103.6101.564106.475-4.910722.03572
10496.698.7055104.892-6.18621-2.10545
105114.8109.918103.8716.047124.88205
106115.8110.125102.8797.246145.67469
10798.5100.894101.55-0.655575-2.39443
10895.991.8503100.458-8.608034.04969
10993.198.971999.5-0.528124-5.87188
11091.695.724698.6125-2.88793-4.12457
111101.4104.47797.69586.78131-3.07715
11297.697.446296.60830.8378230.153844
11390.594.238995.9-1.66114-3.73886
114100.4100.02595.54.525320.374677
1159290.247695.1583-4.910721.75239
11686.989.09395.2792-6.18621-2.19295
117102.5101.74395.69586.047120.757045
118102103.396.05427.24614-1.30031
11995.395.631996.2875-0.655575-0.331925
12089.588.087896.6958-8.608031.41219
12191.396.634497.1625-0.528124-5.33438
12296.394.762197.65-2.887931.53793
123106.7104.9998.20836.781311.71035
124100.999.41798.57920.8378231.48301
12592.897.313998.975-1.66114-4.51386
126107.9104.13899.61254.525323.76218
12795.795.3351100.246-4.910720.364888
12894.994.3763100.562-6.186210.523712
129107.9106.855100.8086.047121.04455
130105.5108.009100.7627.24614-2.50864
131101.3100.332100.988-0.6555750.968075
13298.892.5003101.108-8.608036.29969
13397.299.9469100.475-0.528124-2.74688
1349897.3579100.246-2.887930.642094
135110.9107.102100.3216.781313.79785
13695.6100.867100.0290.837823-5.26699
137103.598.055599.7167-1.661145.44447
138100.1103.94299.41674.52532-3.84199
13988.394.318499.2292-4.91072-6.01844
14096.893.180599.3667-6.186213.61955
141107.8105.33599.28756.047122.46538
14298.6106.39299.14587.24614-7.79197
143100.798.336198.9917-0.6555752.36391
14492.290.433699.0417-8.608031.76636
14599.399.10199.6292-0.5281240.198957
14699.297.2579100.146-2.887931.94209
147107.8106.835100.0546.781310.964521
14895.3101.142100.3040.837823-5.84199
149100.199.118100.779-1.661140.981969
150104.7105.013100.4874.52532-0.312823
15197.895.4101100.321-4.910722.38989
15299.794.093100.279-6.186215.60705
153102.7105.79399.74586.04712-3.09295
154109.7106.73899.49177.246142.96219
15510198.727899.3833-0.6555752.27224
15684.990.16798.775-8.60803-5.26697
157102.697.759498.2875-0.5281244.84062
15894.994.857997.7458-2.887930.0420943
15999.3103.8697.07926.78131-4.56048
16097.797.479596.64170.8378230.22051
16195.194.305595.9667-1.661140.794469
16295.199.975395.454.52532-4.87532
16395.790.164395.075-4.910725.53572
16488.888.376394.5625-6.186210.423712
16597.6100.45594.40836.04712-2.85545
166104.3101.794.45427.246142.59969
16790.293.690394.3458-0.655575-3.49026
16883.385.779594.3875-8.60803-2.47947
16995.294.096994.625-0.5281241.10312
1709091.887194.775-2.88793-1.88707
171100.5101.91595.13336.78131-1.41465
17297.696.212895.3750.8378231.38718
17392.693.626495.2875-1.66114-1.02636
17498.699.887895.36254.52532-1.28782
17597.990.568495.4792-4.910727.33156
17690.289.397195.5833-6.186210.802879
177104.8101.93995.89176.047122.86121
178102.9103.36796.12087.24614-0.466974
17989.595.365396.0208-0.655575-5.86526
18085.887.579596.1875-8.60803-1.77947
18195.595.838596.3667-0.528124-0.338543
18292.293.337196.225-2.88793-1.13707
183105.7102.99496.21256.781312.70619
18497.997.16796.32920.8378230.73301
18589.995.005596.6667-1.66114-5.10553
186105.3101.67997.15424.525323.62051
18795.592.301897.2125-4.910723.19822
18889.290.972197.1583-6.18621-1.77212
189105.5103.21897.17086.047122.28205
190105104.40497.15837.246140.595526
19195.597.048697.7042-0.655575-1.54859
19291.589.41798.025-8.608032.08303
19391.297.02697.5542-0.528124-5.82604
19495.294.524697.4125-2.887930.675428
195103104.33597.55426.78131-1.33548
196100.398.104597.26670.8378232.19551
197100.695.51897.1792-1.661145.08197
198102.3101.82997.30424.525320.47051
19987.292.614397.525-4.91072-5.41428
20094.191.559697.7458-6.186212.54038
201104103.98997.94176.047120.011212
20299.6105.07997.83337.24614-5.47947
20398.896.865397.5208-0.6555751.93474
20491.289.075397.6833-8.608032.12469
20596.897.492798.0208-0.528124-0.69271
20694.995.341298.2292-2.88793-0.441239
207108NANA6.78131NA
20892.7NANA0.837823NA
209100.7NANA-1.66114NA
210106.1NANA4.52532NA
21191.5NANA-4.91072NA
21294.8NANA-6.18621NA



Parameters (Session):
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')