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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 computationThu, 21 Dec 2017 11:24:23 +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/21/t1513851896ecbmnt3py5qd8i7.htm/, Retrieved Tue, 14 May 2024 06:25:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310602, Retrieved Tue, 14 May 2024 06:25:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Classical decompo...] [2017-12-21 10:24:23] [edd9bd046e284cf09fb3f1533c566982] [Current]
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Dataseries X:
62,4
67,4
76,1
67,4
74,5
72,6
60,5
66,1
76,5
76,8
77
71
74,8
73,7
80,5
71,8
76,9
79,9
65,9
69,5
75,1
79,6
75,2
68
72,8
71,5
78,5
76,8
75,3
76,7
69,7
67,8
77,5
82,5
75,3
70,9
76
73,7
79,7
77,8
73,3
78,3
71,9
67
82
83,7
74,8
80
74,3
76,8
89
81,9
76,8
88,9
75,8
75,5
89,1
88
85,9
89,3
82,9
81,2
90,5
86,4
81,8
91,3
73,4
76,6
91
87
89,7
90,7
86,5
86,6
98,8
84,4
91,4
95,7
78,5
81,7
94,3
98,5
95,4
91,7
92,8
90,5
102,2
91,8
95
102
88,9
89,6
97,9
108,6
100,8
95,1
101
100,9
102,5
105,4
98,4
105,3
96,5
88,1
107,9
107
92,5
95,7
85,2
85,5
94,7
86,2
88,8
93,4
83,4
82,9
96,7
96,2
92,8
92,8
90
95,4
108,3
96,3
95
109
92
92,3
107
105,5
105,4
103,9
99,2
102,2
121,5
102,3
110
105,9
91,9
100
111,7
104,9
103,3
101,8
100,8
104,2
116,5
97,9
100,7
107
96,3
96
104,5
107,4
102,4
94,9
98,8
96,8
108,2
103,8
102,3
107,2
102
92,6
105,2
113
105,6
101,6
101,7
102,7
109
105,5
103,3
108,6
98,2
90
112,4
111,9
102,1
102,4
101,7
98,7
114
105,1
98,3
110
96,5
92,2
112
111,4
107,5
103,4
103,5
107,4
117,6
110,2
104,3
115,9
98,9
101,9
113,5
109,5
110
114,2
106,9
109,2
124,2
104,7
111,9
119
102,9
106,3




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=310602&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=310602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310602&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
162.4NANA-2.45903NA
267.4NANA-2.18501NA
376.1NANA7.82293NA
467.4NANA-0.352335NA
574.5NANA-1.27343NA
672.6NANA4.99688NA
760.563.608471.2083-7.59996-3.10837
866.163.558471.9875-8.429132.54163
976.576.989772.43334.55641-0.489745
1076.878.158972.85.35886-1.35886
117773.800373.08330.7169513.19972
127172.334473.4875-1.15315-1.33435
1374.871.557674.0167-2.459033.24236
1473.772.198374.3833-2.185011.50168
1580.582.289674.46677.82293-1.78959
1671.874.172774.525-0.352335-2.37267
1776.973.293274.5667-1.273433.60676
1879.979.363674.36674.996880.536449
1965.966.558474.1583-7.59996-0.658373
2069.565.554273.9833-8.429133.94579
2175.178.364773.80834.55641-3.26475
2279.679.292273.93335.358860.307804
2375.274.79274.0750.7169510.408049
246872.721973.875-1.15315-4.72185
2572.871.44173.9-2.459031.35903
2671.571.802573.9875-2.18501-0.302491
2778.581.839674.01677.82293-3.33959
2876.873.885274.2375-0.3523352.91483
2975.373.089174.3625-1.273432.21093
3076.779.484474.48754.99688-2.78438
3169.767.141774.7417-7.599962.55829
3267.866.537574.9667-8.429131.26246
3377.579.664775.10834.55641-2.16475
3482.580.558975.25.358861.94114
3575.375.875375.15830.716951-0.575285
3670.973.988575.1417-1.15315-3.08852
377672.84175.3-2.459033.15903
3873.773.173375.3583-2.185010.526676
3979.783.335475.51257.82293-3.63543
4077.875.397775.75-0.3523352.40233
4173.374.505775.7792-1.27343-1.20574
4278.381.134476.13754.99688-2.83438
4371.968.845976.4458-7.599963.05413
446768.07576.5042-8.42913-1.07504
458281.577277.02084.556410.422755
4683.782.93877.57925.358860.76197
4774.878.612877.89580.716951-3.81278
488077.330278.4833-1.153152.66981
4974.376.628579.0875-2.45903-2.32847
5076.877.419279.6042-2.18501-0.619157
518988.077180.25427.822930.922908
5281.980.376880.7292-0.3523351.52317
5376.880.097481.3708-1.27343-3.2974
5488.987.217782.22084.996881.68228
5575.875.366782.9667-7.599960.433294
5675.575.079283.5083-8.429130.420794
5789.188.310683.75424.556410.789421
588889.36384.00425.35886-1.36303
5985.985.11784.40.7169510.783049
6089.383.555284.7083-1.153155.74481
6182.982.249384.7083-2.459030.650696
6281.282.469284.6542-2.18501-1.26916
6390.592.602184.77927.82293-2.10209
6486.484.464384.8167-0.3523351.93567
6581.883.659984.9333-1.27343-1.8599
6691.390.146985.154.996881.15312
6773.477.758485.3583-7.59996-4.35837
6876.677.304285.7333-8.42913-0.704206
699190.860686.30424.556410.139421
708791.925586.56675.35886-4.92553
7189.787.600386.88330.7169512.09972
7290.786.313587.4667-1.153154.38648
7386.585.403587.8625-2.459031.09653
7486.686.102588.2875-2.185010.497509
7598.896.460488.63757.822932.33957
7684.488.901889.2542-0.352335-4.50183
7791.488.697489.9708-1.273432.7026
7895.795.246990.254.996880.453116
7978.582.954290.5542-7.59996-4.45421
8081.782.5590.9792-8.42913-0.85004
8194.395.839791.28334.55641-1.53975
8298.597.092291.73335.358861.4078
8395.492.908692.19170.7169512.49138
8491.791.45192.6042-1.153150.24898
8592.890.84193.3-2.459031.95903
8690.591.877594.0625-2.18501-1.37749
87102.2102.36594.54177.82293-0.164592
8891.894.760295.1125-0.352335-2.96017
899594.484995.7583-1.273430.515095
90102101.12296.1254.996880.878116
9188.989.008496.6083-7.59996-0.108373
9289.688.954297.3833-8.429130.645794
9397.9102.38697.82924.55641-4.48558
94108.6103.76798.40835.358864.8328
95100.899.833699.11670.7169510.966382
9695.198.242799.3958-1.15315-3.14269
9710197.39199.85-2.459033.60903
98100.997.9192100.104-2.185012.98084
99102.5108.281100.4587.82293-5.78126
100105.4100.456100.808-0.3523354.944
10198.499.1224100.396-1.27343-0.722405
102105.3105.072100.0754.996880.228116
10396.591.841799.4417-7.599964.65829
10488.189.712598.1417-8.42913-1.61254
105107.9101.73197.1754.556416.16859
106107101.40996.055.358865.59114
10792.595.56794.850.716951-3.06695
10895.792.80193.9542-1.153152.89898
10985.290.453592.9125-2.45903-5.25347
11085.589.96592.15-2.18501-4.46499
11194.799.289691.46677.82293-4.58959
11286.290.197790.55-0.352335-3.99767
11388.888.839190.1125-1.27343-0.0390714
11493.495.001190.00424.99688-1.60105
11583.482.483490.0833-7.599960.916627
11682.982.266790.6958-8.429130.633294
11796.796.231491.6754.556410.468588
11896.298.021492.66255.35886-1.82136
11992.894.058693.34170.716951-1.25862
12092.893.096994.25-1.15315-0.296853
1219092.799395.2583-2.45903-2.7993
12295.493.823396.0083-2.185011.57668
123108.3104.65296.82927.822933.64791
12496.397.293597.6458-0.352335-0.993499
1259597.284998.5583-1.27343-2.2849
126109104.54399.54584.996884.45728
1279292.7917100.392-7.59996-0.791706
12892.392.6292101.058-8.42913-0.329206
129107106.448101.8924.556410.551921
130105.5108.051102.6925.35886-2.55053
131105.4104.284103.5670.7169511.11638
132103.9102.909104.063-1.153150.990647
13399.2101.47103.929-2.45903-2.27014
134102.2102.061104.246-2.185010.139176
135121.5112.585104.7627.822938.91457
136102.3104.581104.933-0.352335-2.281
137110103.547104.821-1.273436.4526
138105.9109.643104.6464.99688-3.74272
13991.997.025104.625-7.59996-5.12504
14010096.3459104.775-8.429133.65413
141111.7109.206104.654.556412.49359
142104.9109.617104.2585.35886-4.7172
143103.3104.404103.6870.716951-1.10445
144101.8102.193103.346-1.15315-0.392687
145100.8101.116103.575-2.45903-0.315971
146104.2101.407103.592-2.185012.79334
147116.5110.948103.1257.822935.55207
14897.9102.577102.929-0.352335-4.67683
149100.7101.722102.996-1.27343-1.0224
150107107.668102.6714.99688-0.667717
15196.394.7102.3-7.599961.59996
1529693.4792101.908-8.429132.52079
153104.5105.811101.2544.55641-1.31058
154107.4106.513101.1545.358860.88697
155102.4102.184101.4670.7169510.216382
15694.9100.389101.542-1.15315-5.48852
15798.899.3285101.788-2.45903-0.528471
15896.899.6983101.883-2.18501-2.89832
159108.2109.594101.7717.82293-1.39376
160103.8101.681102.033-0.3523352.119
161102.3101.127102.4-1.273431.17343
162107.2107.809102.8124.99688-0.609384
16310295.6125103.212-7.599966.38746
16492.695.15103.579-8.42913-2.55004
165105.2108.415103.8584.55641-3.21475
166113109.321103.9625.358863.67864
167105.6104.792104.0750.7169510.808049
168101.6103.022104.175-1.15315-1.42185
169101.7101.616104.075-2.459030.0840291
170102.7101.623103.808-2.185011.07668
171109111.8231047.82293-2.82293
172105.5103.902104.254-0.3523351.59817
173103.3102.789104.062-1.273430.510929
174108.6108.947103.954.99688-0.346884
17598.296.3834103.983-7.599961.81663
1769095.3875103.817-8.42913-5.38754
177112.4108.415103.8584.556413.98525
178111.9109.409104.055.358862.49114
179102.1104.542103.8250.716951-2.44195
180102.4102.522103.675-1.15315-0.121853
181101.7101.203103.662-2.459030.496529
18298.7101.498103.683-2.18501-2.79832
183114111.581103.7587.822932.41874
184105.1103.368103.721-0.3523351.7315
18598.3102.652103.925-1.27343-4.35157
186110109.189104.1924.996880.811449
18796.596.7084104.308-7.59996-0.208373
18892.296.3167104.746-8.42913-4.11671
189112109.815105.2584.556412.18525
190111.4110.98105.6215.358860.420304
191107.5106.8106.0830.7169510.699715
192103.4105.426106.579-1.15315-2.02602
193103.5104.466106.925-2.45903-0.965971
194107.4105.244107.429-2.185012.15584
195117.6115.719107.8967.822931.88124
196110.2107.527107.879-0.3523352.67317
197104.3106.631107.904-1.27343-2.33074
198115.9113.455108.4584.996882.44478
19998.9101.45109.05-7.59996-2.55004
200101.9100.838109.267-8.429131.06246
201113.5114.173109.6174.55641-0.673079
202109.5115.021109.6625.35886-5.52136
203110110.467109.750.716951-0.466951
204114.2109.043110.196-1.153155.15731
205106.9108.033110.492-2.45903-1.13264
206109.2108.657110.842-2.185010.543343
207124.2NANA7.82293NA
208104.7NANA-0.352335NA
209111.9NANA-1.27343NA
210119NANA4.99688NA
211102.9NANA-7.59996NA
212106.3NANA-8.42913NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 62.4 & NA & NA & -2.45903 & NA \tabularnewline
2 & 67.4 & NA & NA & -2.18501 & NA \tabularnewline
3 & 76.1 & NA & NA & 7.82293 & NA \tabularnewline
4 & 67.4 & NA & NA & -0.352335 & NA \tabularnewline
5 & 74.5 & NA & NA & -1.27343 & NA \tabularnewline
6 & 72.6 & NA & NA & 4.99688 & NA \tabularnewline
7 & 60.5 & 63.6084 & 71.2083 & -7.59996 & -3.10837 \tabularnewline
8 & 66.1 & 63.5584 & 71.9875 & -8.42913 & 2.54163 \tabularnewline
9 & 76.5 & 76.9897 & 72.4333 & 4.55641 & -0.489745 \tabularnewline
10 & 76.8 & 78.1589 & 72.8 & 5.35886 & -1.35886 \tabularnewline
11 & 77 & 73.8003 & 73.0833 & 0.716951 & 3.19972 \tabularnewline
12 & 71 & 72.3344 & 73.4875 & -1.15315 & -1.33435 \tabularnewline
13 & 74.8 & 71.5576 & 74.0167 & -2.45903 & 3.24236 \tabularnewline
14 & 73.7 & 72.1983 & 74.3833 & -2.18501 & 1.50168 \tabularnewline
15 & 80.5 & 82.2896 & 74.4667 & 7.82293 & -1.78959 \tabularnewline
16 & 71.8 & 74.1727 & 74.525 & -0.352335 & -2.37267 \tabularnewline
17 & 76.9 & 73.2932 & 74.5667 & -1.27343 & 3.60676 \tabularnewline
18 & 79.9 & 79.3636 & 74.3667 & 4.99688 & 0.536449 \tabularnewline
19 & 65.9 & 66.5584 & 74.1583 & -7.59996 & -0.658373 \tabularnewline
20 & 69.5 & 65.5542 & 73.9833 & -8.42913 & 3.94579 \tabularnewline
21 & 75.1 & 78.3647 & 73.8083 & 4.55641 & -3.26475 \tabularnewline
22 & 79.6 & 79.2922 & 73.9333 & 5.35886 & 0.307804 \tabularnewline
23 & 75.2 & 74.792 & 74.075 & 0.716951 & 0.408049 \tabularnewline
24 & 68 & 72.7219 & 73.875 & -1.15315 & -4.72185 \tabularnewline
25 & 72.8 & 71.441 & 73.9 & -2.45903 & 1.35903 \tabularnewline
26 & 71.5 & 71.8025 & 73.9875 & -2.18501 & -0.302491 \tabularnewline
27 & 78.5 & 81.8396 & 74.0167 & 7.82293 & -3.33959 \tabularnewline
28 & 76.8 & 73.8852 & 74.2375 & -0.352335 & 2.91483 \tabularnewline
29 & 75.3 & 73.0891 & 74.3625 & -1.27343 & 2.21093 \tabularnewline
30 & 76.7 & 79.4844 & 74.4875 & 4.99688 & -2.78438 \tabularnewline
31 & 69.7 & 67.1417 & 74.7417 & -7.59996 & 2.55829 \tabularnewline
32 & 67.8 & 66.5375 & 74.9667 & -8.42913 & 1.26246 \tabularnewline
33 & 77.5 & 79.6647 & 75.1083 & 4.55641 & -2.16475 \tabularnewline
34 & 82.5 & 80.5589 & 75.2 & 5.35886 & 1.94114 \tabularnewline
35 & 75.3 & 75.8753 & 75.1583 & 0.716951 & -0.575285 \tabularnewline
36 & 70.9 & 73.9885 & 75.1417 & -1.15315 & -3.08852 \tabularnewline
37 & 76 & 72.841 & 75.3 & -2.45903 & 3.15903 \tabularnewline
38 & 73.7 & 73.1733 & 75.3583 & -2.18501 & 0.526676 \tabularnewline
39 & 79.7 & 83.3354 & 75.5125 & 7.82293 & -3.63543 \tabularnewline
40 & 77.8 & 75.3977 & 75.75 & -0.352335 & 2.40233 \tabularnewline
41 & 73.3 & 74.5057 & 75.7792 & -1.27343 & -1.20574 \tabularnewline
42 & 78.3 & 81.1344 & 76.1375 & 4.99688 & -2.83438 \tabularnewline
43 & 71.9 & 68.8459 & 76.4458 & -7.59996 & 3.05413 \tabularnewline
44 & 67 & 68.075 & 76.5042 & -8.42913 & -1.07504 \tabularnewline
45 & 82 & 81.5772 & 77.0208 & 4.55641 & 0.422755 \tabularnewline
46 & 83.7 & 82.938 & 77.5792 & 5.35886 & 0.76197 \tabularnewline
47 & 74.8 & 78.6128 & 77.8958 & 0.716951 & -3.81278 \tabularnewline
48 & 80 & 77.3302 & 78.4833 & -1.15315 & 2.66981 \tabularnewline
49 & 74.3 & 76.6285 & 79.0875 & -2.45903 & -2.32847 \tabularnewline
50 & 76.8 & 77.4192 & 79.6042 & -2.18501 & -0.619157 \tabularnewline
51 & 89 & 88.0771 & 80.2542 & 7.82293 & 0.922908 \tabularnewline
52 & 81.9 & 80.3768 & 80.7292 & -0.352335 & 1.52317 \tabularnewline
53 & 76.8 & 80.0974 & 81.3708 & -1.27343 & -3.2974 \tabularnewline
54 & 88.9 & 87.2177 & 82.2208 & 4.99688 & 1.68228 \tabularnewline
55 & 75.8 & 75.3667 & 82.9667 & -7.59996 & 0.433294 \tabularnewline
56 & 75.5 & 75.0792 & 83.5083 & -8.42913 & 0.420794 \tabularnewline
57 & 89.1 & 88.3106 & 83.7542 & 4.55641 & 0.789421 \tabularnewline
58 & 88 & 89.363 & 84.0042 & 5.35886 & -1.36303 \tabularnewline
59 & 85.9 & 85.117 & 84.4 & 0.716951 & 0.783049 \tabularnewline
60 & 89.3 & 83.5552 & 84.7083 & -1.15315 & 5.74481 \tabularnewline
61 & 82.9 & 82.2493 & 84.7083 & -2.45903 & 0.650696 \tabularnewline
62 & 81.2 & 82.4692 & 84.6542 & -2.18501 & -1.26916 \tabularnewline
63 & 90.5 & 92.6021 & 84.7792 & 7.82293 & -2.10209 \tabularnewline
64 & 86.4 & 84.4643 & 84.8167 & -0.352335 & 1.93567 \tabularnewline
65 & 81.8 & 83.6599 & 84.9333 & -1.27343 & -1.8599 \tabularnewline
66 & 91.3 & 90.1469 & 85.15 & 4.99688 & 1.15312 \tabularnewline
67 & 73.4 & 77.7584 & 85.3583 & -7.59996 & -4.35837 \tabularnewline
68 & 76.6 & 77.3042 & 85.7333 & -8.42913 & -0.704206 \tabularnewline
69 & 91 & 90.8606 & 86.3042 & 4.55641 & 0.139421 \tabularnewline
70 & 87 & 91.9255 & 86.5667 & 5.35886 & -4.92553 \tabularnewline
71 & 89.7 & 87.6003 & 86.8833 & 0.716951 & 2.09972 \tabularnewline
72 & 90.7 & 86.3135 & 87.4667 & -1.15315 & 4.38648 \tabularnewline
73 & 86.5 & 85.4035 & 87.8625 & -2.45903 & 1.09653 \tabularnewline
74 & 86.6 & 86.1025 & 88.2875 & -2.18501 & 0.497509 \tabularnewline
75 & 98.8 & 96.4604 & 88.6375 & 7.82293 & 2.33957 \tabularnewline
76 & 84.4 & 88.9018 & 89.2542 & -0.352335 & -4.50183 \tabularnewline
77 & 91.4 & 88.6974 & 89.9708 & -1.27343 & 2.7026 \tabularnewline
78 & 95.7 & 95.2469 & 90.25 & 4.99688 & 0.453116 \tabularnewline
79 & 78.5 & 82.9542 & 90.5542 & -7.59996 & -4.45421 \tabularnewline
80 & 81.7 & 82.55 & 90.9792 & -8.42913 & -0.85004 \tabularnewline
81 & 94.3 & 95.8397 & 91.2833 & 4.55641 & -1.53975 \tabularnewline
82 & 98.5 & 97.0922 & 91.7333 & 5.35886 & 1.4078 \tabularnewline
83 & 95.4 & 92.9086 & 92.1917 & 0.716951 & 2.49138 \tabularnewline
84 & 91.7 & 91.451 & 92.6042 & -1.15315 & 0.24898 \tabularnewline
85 & 92.8 & 90.841 & 93.3 & -2.45903 & 1.95903 \tabularnewline
86 & 90.5 & 91.8775 & 94.0625 & -2.18501 & -1.37749 \tabularnewline
87 & 102.2 & 102.365 & 94.5417 & 7.82293 & -0.164592 \tabularnewline
88 & 91.8 & 94.7602 & 95.1125 & -0.352335 & -2.96017 \tabularnewline
89 & 95 & 94.4849 & 95.7583 & -1.27343 & 0.515095 \tabularnewline
90 & 102 & 101.122 & 96.125 & 4.99688 & 0.878116 \tabularnewline
91 & 88.9 & 89.0084 & 96.6083 & -7.59996 & -0.108373 \tabularnewline
92 & 89.6 & 88.9542 & 97.3833 & -8.42913 & 0.645794 \tabularnewline
93 & 97.9 & 102.386 & 97.8292 & 4.55641 & -4.48558 \tabularnewline
94 & 108.6 & 103.767 & 98.4083 & 5.35886 & 4.8328 \tabularnewline
95 & 100.8 & 99.8336 & 99.1167 & 0.716951 & 0.966382 \tabularnewline
96 & 95.1 & 98.2427 & 99.3958 & -1.15315 & -3.14269 \tabularnewline
97 & 101 & 97.391 & 99.85 & -2.45903 & 3.60903 \tabularnewline
98 & 100.9 & 97.9192 & 100.104 & -2.18501 & 2.98084 \tabularnewline
99 & 102.5 & 108.281 & 100.458 & 7.82293 & -5.78126 \tabularnewline
100 & 105.4 & 100.456 & 100.808 & -0.352335 & 4.944 \tabularnewline
101 & 98.4 & 99.1224 & 100.396 & -1.27343 & -0.722405 \tabularnewline
102 & 105.3 & 105.072 & 100.075 & 4.99688 & 0.228116 \tabularnewline
103 & 96.5 & 91.8417 & 99.4417 & -7.59996 & 4.65829 \tabularnewline
104 & 88.1 & 89.7125 & 98.1417 & -8.42913 & -1.61254 \tabularnewline
105 & 107.9 & 101.731 & 97.175 & 4.55641 & 6.16859 \tabularnewline
106 & 107 & 101.409 & 96.05 & 5.35886 & 5.59114 \tabularnewline
107 & 92.5 & 95.567 & 94.85 & 0.716951 & -3.06695 \tabularnewline
108 & 95.7 & 92.801 & 93.9542 & -1.15315 & 2.89898 \tabularnewline
109 & 85.2 & 90.4535 & 92.9125 & -2.45903 & -5.25347 \tabularnewline
110 & 85.5 & 89.965 & 92.15 & -2.18501 & -4.46499 \tabularnewline
111 & 94.7 & 99.2896 & 91.4667 & 7.82293 & -4.58959 \tabularnewline
112 & 86.2 & 90.1977 & 90.55 & -0.352335 & -3.99767 \tabularnewline
113 & 88.8 & 88.8391 & 90.1125 & -1.27343 & -0.0390714 \tabularnewline
114 & 93.4 & 95.0011 & 90.0042 & 4.99688 & -1.60105 \tabularnewline
115 & 83.4 & 82.4834 & 90.0833 & -7.59996 & 0.916627 \tabularnewline
116 & 82.9 & 82.2667 & 90.6958 & -8.42913 & 0.633294 \tabularnewline
117 & 96.7 & 96.2314 & 91.675 & 4.55641 & 0.468588 \tabularnewline
118 & 96.2 & 98.0214 & 92.6625 & 5.35886 & -1.82136 \tabularnewline
119 & 92.8 & 94.0586 & 93.3417 & 0.716951 & -1.25862 \tabularnewline
120 & 92.8 & 93.0969 & 94.25 & -1.15315 & -0.296853 \tabularnewline
121 & 90 & 92.7993 & 95.2583 & -2.45903 & -2.7993 \tabularnewline
122 & 95.4 & 93.8233 & 96.0083 & -2.18501 & 1.57668 \tabularnewline
123 & 108.3 & 104.652 & 96.8292 & 7.82293 & 3.64791 \tabularnewline
124 & 96.3 & 97.2935 & 97.6458 & -0.352335 & -0.993499 \tabularnewline
125 & 95 & 97.2849 & 98.5583 & -1.27343 & -2.2849 \tabularnewline
126 & 109 & 104.543 & 99.5458 & 4.99688 & 4.45728 \tabularnewline
127 & 92 & 92.7917 & 100.392 & -7.59996 & -0.791706 \tabularnewline
128 & 92.3 & 92.6292 & 101.058 & -8.42913 & -0.329206 \tabularnewline
129 & 107 & 106.448 & 101.892 & 4.55641 & 0.551921 \tabularnewline
130 & 105.5 & 108.051 & 102.692 & 5.35886 & -2.55053 \tabularnewline
131 & 105.4 & 104.284 & 103.567 & 0.716951 & 1.11638 \tabularnewline
132 & 103.9 & 102.909 & 104.063 & -1.15315 & 0.990647 \tabularnewline
133 & 99.2 & 101.47 & 103.929 & -2.45903 & -2.27014 \tabularnewline
134 & 102.2 & 102.061 & 104.246 & -2.18501 & 0.139176 \tabularnewline
135 & 121.5 & 112.585 & 104.762 & 7.82293 & 8.91457 \tabularnewline
136 & 102.3 & 104.581 & 104.933 & -0.352335 & -2.281 \tabularnewline
137 & 110 & 103.547 & 104.821 & -1.27343 & 6.4526 \tabularnewline
138 & 105.9 & 109.643 & 104.646 & 4.99688 & -3.74272 \tabularnewline
139 & 91.9 & 97.025 & 104.625 & -7.59996 & -5.12504 \tabularnewline
140 & 100 & 96.3459 & 104.775 & -8.42913 & 3.65413 \tabularnewline
141 & 111.7 & 109.206 & 104.65 & 4.55641 & 2.49359 \tabularnewline
142 & 104.9 & 109.617 & 104.258 & 5.35886 & -4.7172 \tabularnewline
143 & 103.3 & 104.404 & 103.687 & 0.716951 & -1.10445 \tabularnewline
144 & 101.8 & 102.193 & 103.346 & -1.15315 & -0.392687 \tabularnewline
145 & 100.8 & 101.116 & 103.575 & -2.45903 & -0.315971 \tabularnewline
146 & 104.2 & 101.407 & 103.592 & -2.18501 & 2.79334 \tabularnewline
147 & 116.5 & 110.948 & 103.125 & 7.82293 & 5.55207 \tabularnewline
148 & 97.9 & 102.577 & 102.929 & -0.352335 & -4.67683 \tabularnewline
149 & 100.7 & 101.722 & 102.996 & -1.27343 & -1.0224 \tabularnewline
150 & 107 & 107.668 & 102.671 & 4.99688 & -0.667717 \tabularnewline
151 & 96.3 & 94.7 & 102.3 & -7.59996 & 1.59996 \tabularnewline
152 & 96 & 93.4792 & 101.908 & -8.42913 & 2.52079 \tabularnewline
153 & 104.5 & 105.811 & 101.254 & 4.55641 & -1.31058 \tabularnewline
154 & 107.4 & 106.513 & 101.154 & 5.35886 & 0.88697 \tabularnewline
155 & 102.4 & 102.184 & 101.467 & 0.716951 & 0.216382 \tabularnewline
156 & 94.9 & 100.389 & 101.542 & -1.15315 & -5.48852 \tabularnewline
157 & 98.8 & 99.3285 & 101.788 & -2.45903 & -0.528471 \tabularnewline
158 & 96.8 & 99.6983 & 101.883 & -2.18501 & -2.89832 \tabularnewline
159 & 108.2 & 109.594 & 101.771 & 7.82293 & -1.39376 \tabularnewline
160 & 103.8 & 101.681 & 102.033 & -0.352335 & 2.119 \tabularnewline
161 & 102.3 & 101.127 & 102.4 & -1.27343 & 1.17343 \tabularnewline
162 & 107.2 & 107.809 & 102.812 & 4.99688 & -0.609384 \tabularnewline
163 & 102 & 95.6125 & 103.212 & -7.59996 & 6.38746 \tabularnewline
164 & 92.6 & 95.15 & 103.579 & -8.42913 & -2.55004 \tabularnewline
165 & 105.2 & 108.415 & 103.858 & 4.55641 & -3.21475 \tabularnewline
166 & 113 & 109.321 & 103.962 & 5.35886 & 3.67864 \tabularnewline
167 & 105.6 & 104.792 & 104.075 & 0.716951 & 0.808049 \tabularnewline
168 & 101.6 & 103.022 & 104.175 & -1.15315 & -1.42185 \tabularnewline
169 & 101.7 & 101.616 & 104.075 & -2.45903 & 0.0840291 \tabularnewline
170 & 102.7 & 101.623 & 103.808 & -2.18501 & 1.07668 \tabularnewline
171 & 109 & 111.823 & 104 & 7.82293 & -2.82293 \tabularnewline
172 & 105.5 & 103.902 & 104.254 & -0.352335 & 1.59817 \tabularnewline
173 & 103.3 & 102.789 & 104.062 & -1.27343 & 0.510929 \tabularnewline
174 & 108.6 & 108.947 & 103.95 & 4.99688 & -0.346884 \tabularnewline
175 & 98.2 & 96.3834 & 103.983 & -7.59996 & 1.81663 \tabularnewline
176 & 90 & 95.3875 & 103.817 & -8.42913 & -5.38754 \tabularnewline
177 & 112.4 & 108.415 & 103.858 & 4.55641 & 3.98525 \tabularnewline
178 & 111.9 & 109.409 & 104.05 & 5.35886 & 2.49114 \tabularnewline
179 & 102.1 & 104.542 & 103.825 & 0.716951 & -2.44195 \tabularnewline
180 & 102.4 & 102.522 & 103.675 & -1.15315 & -0.121853 \tabularnewline
181 & 101.7 & 101.203 & 103.662 & -2.45903 & 0.496529 \tabularnewline
182 & 98.7 & 101.498 & 103.683 & -2.18501 & -2.79832 \tabularnewline
183 & 114 & 111.581 & 103.758 & 7.82293 & 2.41874 \tabularnewline
184 & 105.1 & 103.368 & 103.721 & -0.352335 & 1.7315 \tabularnewline
185 & 98.3 & 102.652 & 103.925 & -1.27343 & -4.35157 \tabularnewline
186 & 110 & 109.189 & 104.192 & 4.99688 & 0.811449 \tabularnewline
187 & 96.5 & 96.7084 & 104.308 & -7.59996 & -0.208373 \tabularnewline
188 & 92.2 & 96.3167 & 104.746 & -8.42913 & -4.11671 \tabularnewline
189 & 112 & 109.815 & 105.258 & 4.55641 & 2.18525 \tabularnewline
190 & 111.4 & 110.98 & 105.621 & 5.35886 & 0.420304 \tabularnewline
191 & 107.5 & 106.8 & 106.083 & 0.716951 & 0.699715 \tabularnewline
192 & 103.4 & 105.426 & 106.579 & -1.15315 & -2.02602 \tabularnewline
193 & 103.5 & 104.466 & 106.925 & -2.45903 & -0.965971 \tabularnewline
194 & 107.4 & 105.244 & 107.429 & -2.18501 & 2.15584 \tabularnewline
195 & 117.6 & 115.719 & 107.896 & 7.82293 & 1.88124 \tabularnewline
196 & 110.2 & 107.527 & 107.879 & -0.352335 & 2.67317 \tabularnewline
197 & 104.3 & 106.631 & 107.904 & -1.27343 & -2.33074 \tabularnewline
198 & 115.9 & 113.455 & 108.458 & 4.99688 & 2.44478 \tabularnewline
199 & 98.9 & 101.45 & 109.05 & -7.59996 & -2.55004 \tabularnewline
200 & 101.9 & 100.838 & 109.267 & -8.42913 & 1.06246 \tabularnewline
201 & 113.5 & 114.173 & 109.617 & 4.55641 & -0.673079 \tabularnewline
202 & 109.5 & 115.021 & 109.662 & 5.35886 & -5.52136 \tabularnewline
203 & 110 & 110.467 & 109.75 & 0.716951 & -0.466951 \tabularnewline
204 & 114.2 & 109.043 & 110.196 & -1.15315 & 5.15731 \tabularnewline
205 & 106.9 & 108.033 & 110.492 & -2.45903 & -1.13264 \tabularnewline
206 & 109.2 & 108.657 & 110.842 & -2.18501 & 0.543343 \tabularnewline
207 & 124.2 & NA & NA & 7.82293 & NA \tabularnewline
208 & 104.7 & NA & NA & -0.352335 & NA \tabularnewline
209 & 111.9 & NA & NA & -1.27343 & NA \tabularnewline
210 & 119 & NA & NA & 4.99688 & NA \tabularnewline
211 & 102.9 & NA & NA & -7.59996 & NA \tabularnewline
212 & 106.3 & NA & NA & -8.42913 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310602&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]62.4[/C][C]NA[/C][C]NA[/C][C]-2.45903[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]67.4[/C][C]NA[/C][C]NA[/C][C]-2.18501[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]76.1[/C][C]NA[/C][C]NA[/C][C]7.82293[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]67.4[/C][C]NA[/C][C]NA[/C][C]-0.352335[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]74.5[/C][C]NA[/C][C]NA[/C][C]-1.27343[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]72.6[/C][C]NA[/C][C]NA[/C][C]4.99688[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]60.5[/C][C]63.6084[/C][C]71.2083[/C][C]-7.59996[/C][C]-3.10837[/C][/ROW]
[ROW][C]8[/C][C]66.1[/C][C]63.5584[/C][C]71.9875[/C][C]-8.42913[/C][C]2.54163[/C][/ROW]
[ROW][C]9[/C][C]76.5[/C][C]76.9897[/C][C]72.4333[/C][C]4.55641[/C][C]-0.489745[/C][/ROW]
[ROW][C]10[/C][C]76.8[/C][C]78.1589[/C][C]72.8[/C][C]5.35886[/C][C]-1.35886[/C][/ROW]
[ROW][C]11[/C][C]77[/C][C]73.8003[/C][C]73.0833[/C][C]0.716951[/C][C]3.19972[/C][/ROW]
[ROW][C]12[/C][C]71[/C][C]72.3344[/C][C]73.4875[/C][C]-1.15315[/C][C]-1.33435[/C][/ROW]
[ROW][C]13[/C][C]74.8[/C][C]71.5576[/C][C]74.0167[/C][C]-2.45903[/C][C]3.24236[/C][/ROW]
[ROW][C]14[/C][C]73.7[/C][C]72.1983[/C][C]74.3833[/C][C]-2.18501[/C][C]1.50168[/C][/ROW]
[ROW][C]15[/C][C]80.5[/C][C]82.2896[/C][C]74.4667[/C][C]7.82293[/C][C]-1.78959[/C][/ROW]
[ROW][C]16[/C][C]71.8[/C][C]74.1727[/C][C]74.525[/C][C]-0.352335[/C][C]-2.37267[/C][/ROW]
[ROW][C]17[/C][C]76.9[/C][C]73.2932[/C][C]74.5667[/C][C]-1.27343[/C][C]3.60676[/C][/ROW]
[ROW][C]18[/C][C]79.9[/C][C]79.3636[/C][C]74.3667[/C][C]4.99688[/C][C]0.536449[/C][/ROW]
[ROW][C]19[/C][C]65.9[/C][C]66.5584[/C][C]74.1583[/C][C]-7.59996[/C][C]-0.658373[/C][/ROW]
[ROW][C]20[/C][C]69.5[/C][C]65.5542[/C][C]73.9833[/C][C]-8.42913[/C][C]3.94579[/C][/ROW]
[ROW][C]21[/C][C]75.1[/C][C]78.3647[/C][C]73.8083[/C][C]4.55641[/C][C]-3.26475[/C][/ROW]
[ROW][C]22[/C][C]79.6[/C][C]79.2922[/C][C]73.9333[/C][C]5.35886[/C][C]0.307804[/C][/ROW]
[ROW][C]23[/C][C]75.2[/C][C]74.792[/C][C]74.075[/C][C]0.716951[/C][C]0.408049[/C][/ROW]
[ROW][C]24[/C][C]68[/C][C]72.7219[/C][C]73.875[/C][C]-1.15315[/C][C]-4.72185[/C][/ROW]
[ROW][C]25[/C][C]72.8[/C][C]71.441[/C][C]73.9[/C][C]-2.45903[/C][C]1.35903[/C][/ROW]
[ROW][C]26[/C][C]71.5[/C][C]71.8025[/C][C]73.9875[/C][C]-2.18501[/C][C]-0.302491[/C][/ROW]
[ROW][C]27[/C][C]78.5[/C][C]81.8396[/C][C]74.0167[/C][C]7.82293[/C][C]-3.33959[/C][/ROW]
[ROW][C]28[/C][C]76.8[/C][C]73.8852[/C][C]74.2375[/C][C]-0.352335[/C][C]2.91483[/C][/ROW]
[ROW][C]29[/C][C]75.3[/C][C]73.0891[/C][C]74.3625[/C][C]-1.27343[/C][C]2.21093[/C][/ROW]
[ROW][C]30[/C][C]76.7[/C][C]79.4844[/C][C]74.4875[/C][C]4.99688[/C][C]-2.78438[/C][/ROW]
[ROW][C]31[/C][C]69.7[/C][C]67.1417[/C][C]74.7417[/C][C]-7.59996[/C][C]2.55829[/C][/ROW]
[ROW][C]32[/C][C]67.8[/C][C]66.5375[/C][C]74.9667[/C][C]-8.42913[/C][C]1.26246[/C][/ROW]
[ROW][C]33[/C][C]77.5[/C][C]79.6647[/C][C]75.1083[/C][C]4.55641[/C][C]-2.16475[/C][/ROW]
[ROW][C]34[/C][C]82.5[/C][C]80.5589[/C][C]75.2[/C][C]5.35886[/C][C]1.94114[/C][/ROW]
[ROW][C]35[/C][C]75.3[/C][C]75.8753[/C][C]75.1583[/C][C]0.716951[/C][C]-0.575285[/C][/ROW]
[ROW][C]36[/C][C]70.9[/C][C]73.9885[/C][C]75.1417[/C][C]-1.15315[/C][C]-3.08852[/C][/ROW]
[ROW][C]37[/C][C]76[/C][C]72.841[/C][C]75.3[/C][C]-2.45903[/C][C]3.15903[/C][/ROW]
[ROW][C]38[/C][C]73.7[/C][C]73.1733[/C][C]75.3583[/C][C]-2.18501[/C][C]0.526676[/C][/ROW]
[ROW][C]39[/C][C]79.7[/C][C]83.3354[/C][C]75.5125[/C][C]7.82293[/C][C]-3.63543[/C][/ROW]
[ROW][C]40[/C][C]77.8[/C][C]75.3977[/C][C]75.75[/C][C]-0.352335[/C][C]2.40233[/C][/ROW]
[ROW][C]41[/C][C]73.3[/C][C]74.5057[/C][C]75.7792[/C][C]-1.27343[/C][C]-1.20574[/C][/ROW]
[ROW][C]42[/C][C]78.3[/C][C]81.1344[/C][C]76.1375[/C][C]4.99688[/C][C]-2.83438[/C][/ROW]
[ROW][C]43[/C][C]71.9[/C][C]68.8459[/C][C]76.4458[/C][C]-7.59996[/C][C]3.05413[/C][/ROW]
[ROW][C]44[/C][C]67[/C][C]68.075[/C][C]76.5042[/C][C]-8.42913[/C][C]-1.07504[/C][/ROW]
[ROW][C]45[/C][C]82[/C][C]81.5772[/C][C]77.0208[/C][C]4.55641[/C][C]0.422755[/C][/ROW]
[ROW][C]46[/C][C]83.7[/C][C]82.938[/C][C]77.5792[/C][C]5.35886[/C][C]0.76197[/C][/ROW]
[ROW][C]47[/C][C]74.8[/C][C]78.6128[/C][C]77.8958[/C][C]0.716951[/C][C]-3.81278[/C][/ROW]
[ROW][C]48[/C][C]80[/C][C]77.3302[/C][C]78.4833[/C][C]-1.15315[/C][C]2.66981[/C][/ROW]
[ROW][C]49[/C][C]74.3[/C][C]76.6285[/C][C]79.0875[/C][C]-2.45903[/C][C]-2.32847[/C][/ROW]
[ROW][C]50[/C][C]76.8[/C][C]77.4192[/C][C]79.6042[/C][C]-2.18501[/C][C]-0.619157[/C][/ROW]
[ROW][C]51[/C][C]89[/C][C]88.0771[/C][C]80.2542[/C][C]7.82293[/C][C]0.922908[/C][/ROW]
[ROW][C]52[/C][C]81.9[/C][C]80.3768[/C][C]80.7292[/C][C]-0.352335[/C][C]1.52317[/C][/ROW]
[ROW][C]53[/C][C]76.8[/C][C]80.0974[/C][C]81.3708[/C][C]-1.27343[/C][C]-3.2974[/C][/ROW]
[ROW][C]54[/C][C]88.9[/C][C]87.2177[/C][C]82.2208[/C][C]4.99688[/C][C]1.68228[/C][/ROW]
[ROW][C]55[/C][C]75.8[/C][C]75.3667[/C][C]82.9667[/C][C]-7.59996[/C][C]0.433294[/C][/ROW]
[ROW][C]56[/C][C]75.5[/C][C]75.0792[/C][C]83.5083[/C][C]-8.42913[/C][C]0.420794[/C][/ROW]
[ROW][C]57[/C][C]89.1[/C][C]88.3106[/C][C]83.7542[/C][C]4.55641[/C][C]0.789421[/C][/ROW]
[ROW][C]58[/C][C]88[/C][C]89.363[/C][C]84.0042[/C][C]5.35886[/C][C]-1.36303[/C][/ROW]
[ROW][C]59[/C][C]85.9[/C][C]85.117[/C][C]84.4[/C][C]0.716951[/C][C]0.783049[/C][/ROW]
[ROW][C]60[/C][C]89.3[/C][C]83.5552[/C][C]84.7083[/C][C]-1.15315[/C][C]5.74481[/C][/ROW]
[ROW][C]61[/C][C]82.9[/C][C]82.2493[/C][C]84.7083[/C][C]-2.45903[/C][C]0.650696[/C][/ROW]
[ROW][C]62[/C][C]81.2[/C][C]82.4692[/C][C]84.6542[/C][C]-2.18501[/C][C]-1.26916[/C][/ROW]
[ROW][C]63[/C][C]90.5[/C][C]92.6021[/C][C]84.7792[/C][C]7.82293[/C][C]-2.10209[/C][/ROW]
[ROW][C]64[/C][C]86.4[/C][C]84.4643[/C][C]84.8167[/C][C]-0.352335[/C][C]1.93567[/C][/ROW]
[ROW][C]65[/C][C]81.8[/C][C]83.6599[/C][C]84.9333[/C][C]-1.27343[/C][C]-1.8599[/C][/ROW]
[ROW][C]66[/C][C]91.3[/C][C]90.1469[/C][C]85.15[/C][C]4.99688[/C][C]1.15312[/C][/ROW]
[ROW][C]67[/C][C]73.4[/C][C]77.7584[/C][C]85.3583[/C][C]-7.59996[/C][C]-4.35837[/C][/ROW]
[ROW][C]68[/C][C]76.6[/C][C]77.3042[/C][C]85.7333[/C][C]-8.42913[/C][C]-0.704206[/C][/ROW]
[ROW][C]69[/C][C]91[/C][C]90.8606[/C][C]86.3042[/C][C]4.55641[/C][C]0.139421[/C][/ROW]
[ROW][C]70[/C][C]87[/C][C]91.9255[/C][C]86.5667[/C][C]5.35886[/C][C]-4.92553[/C][/ROW]
[ROW][C]71[/C][C]89.7[/C][C]87.6003[/C][C]86.8833[/C][C]0.716951[/C][C]2.09972[/C][/ROW]
[ROW][C]72[/C][C]90.7[/C][C]86.3135[/C][C]87.4667[/C][C]-1.15315[/C][C]4.38648[/C][/ROW]
[ROW][C]73[/C][C]86.5[/C][C]85.4035[/C][C]87.8625[/C][C]-2.45903[/C][C]1.09653[/C][/ROW]
[ROW][C]74[/C][C]86.6[/C][C]86.1025[/C][C]88.2875[/C][C]-2.18501[/C][C]0.497509[/C][/ROW]
[ROW][C]75[/C][C]98.8[/C][C]96.4604[/C][C]88.6375[/C][C]7.82293[/C][C]2.33957[/C][/ROW]
[ROW][C]76[/C][C]84.4[/C][C]88.9018[/C][C]89.2542[/C][C]-0.352335[/C][C]-4.50183[/C][/ROW]
[ROW][C]77[/C][C]91.4[/C][C]88.6974[/C][C]89.9708[/C][C]-1.27343[/C][C]2.7026[/C][/ROW]
[ROW][C]78[/C][C]95.7[/C][C]95.2469[/C][C]90.25[/C][C]4.99688[/C][C]0.453116[/C][/ROW]
[ROW][C]79[/C][C]78.5[/C][C]82.9542[/C][C]90.5542[/C][C]-7.59996[/C][C]-4.45421[/C][/ROW]
[ROW][C]80[/C][C]81.7[/C][C]82.55[/C][C]90.9792[/C][C]-8.42913[/C][C]-0.85004[/C][/ROW]
[ROW][C]81[/C][C]94.3[/C][C]95.8397[/C][C]91.2833[/C][C]4.55641[/C][C]-1.53975[/C][/ROW]
[ROW][C]82[/C][C]98.5[/C][C]97.0922[/C][C]91.7333[/C][C]5.35886[/C][C]1.4078[/C][/ROW]
[ROW][C]83[/C][C]95.4[/C][C]92.9086[/C][C]92.1917[/C][C]0.716951[/C][C]2.49138[/C][/ROW]
[ROW][C]84[/C][C]91.7[/C][C]91.451[/C][C]92.6042[/C][C]-1.15315[/C][C]0.24898[/C][/ROW]
[ROW][C]85[/C][C]92.8[/C][C]90.841[/C][C]93.3[/C][C]-2.45903[/C][C]1.95903[/C][/ROW]
[ROW][C]86[/C][C]90.5[/C][C]91.8775[/C][C]94.0625[/C][C]-2.18501[/C][C]-1.37749[/C][/ROW]
[ROW][C]87[/C][C]102.2[/C][C]102.365[/C][C]94.5417[/C][C]7.82293[/C][C]-0.164592[/C][/ROW]
[ROW][C]88[/C][C]91.8[/C][C]94.7602[/C][C]95.1125[/C][C]-0.352335[/C][C]-2.96017[/C][/ROW]
[ROW][C]89[/C][C]95[/C][C]94.4849[/C][C]95.7583[/C][C]-1.27343[/C][C]0.515095[/C][/ROW]
[ROW][C]90[/C][C]102[/C][C]101.122[/C][C]96.125[/C][C]4.99688[/C][C]0.878116[/C][/ROW]
[ROW][C]91[/C][C]88.9[/C][C]89.0084[/C][C]96.6083[/C][C]-7.59996[/C][C]-0.108373[/C][/ROW]
[ROW][C]92[/C][C]89.6[/C][C]88.9542[/C][C]97.3833[/C][C]-8.42913[/C][C]0.645794[/C][/ROW]
[ROW][C]93[/C][C]97.9[/C][C]102.386[/C][C]97.8292[/C][C]4.55641[/C][C]-4.48558[/C][/ROW]
[ROW][C]94[/C][C]108.6[/C][C]103.767[/C][C]98.4083[/C][C]5.35886[/C][C]4.8328[/C][/ROW]
[ROW][C]95[/C][C]100.8[/C][C]99.8336[/C][C]99.1167[/C][C]0.716951[/C][C]0.966382[/C][/ROW]
[ROW][C]96[/C][C]95.1[/C][C]98.2427[/C][C]99.3958[/C][C]-1.15315[/C][C]-3.14269[/C][/ROW]
[ROW][C]97[/C][C]101[/C][C]97.391[/C][C]99.85[/C][C]-2.45903[/C][C]3.60903[/C][/ROW]
[ROW][C]98[/C][C]100.9[/C][C]97.9192[/C][C]100.104[/C][C]-2.18501[/C][C]2.98084[/C][/ROW]
[ROW][C]99[/C][C]102.5[/C][C]108.281[/C][C]100.458[/C][C]7.82293[/C][C]-5.78126[/C][/ROW]
[ROW][C]100[/C][C]105.4[/C][C]100.456[/C][C]100.808[/C][C]-0.352335[/C][C]4.944[/C][/ROW]
[ROW][C]101[/C][C]98.4[/C][C]99.1224[/C][C]100.396[/C][C]-1.27343[/C][C]-0.722405[/C][/ROW]
[ROW][C]102[/C][C]105.3[/C][C]105.072[/C][C]100.075[/C][C]4.99688[/C][C]0.228116[/C][/ROW]
[ROW][C]103[/C][C]96.5[/C][C]91.8417[/C][C]99.4417[/C][C]-7.59996[/C][C]4.65829[/C][/ROW]
[ROW][C]104[/C][C]88.1[/C][C]89.7125[/C][C]98.1417[/C][C]-8.42913[/C][C]-1.61254[/C][/ROW]
[ROW][C]105[/C][C]107.9[/C][C]101.731[/C][C]97.175[/C][C]4.55641[/C][C]6.16859[/C][/ROW]
[ROW][C]106[/C][C]107[/C][C]101.409[/C][C]96.05[/C][C]5.35886[/C][C]5.59114[/C][/ROW]
[ROW][C]107[/C][C]92.5[/C][C]95.567[/C][C]94.85[/C][C]0.716951[/C][C]-3.06695[/C][/ROW]
[ROW][C]108[/C][C]95.7[/C][C]92.801[/C][C]93.9542[/C][C]-1.15315[/C][C]2.89898[/C][/ROW]
[ROW][C]109[/C][C]85.2[/C][C]90.4535[/C][C]92.9125[/C][C]-2.45903[/C][C]-5.25347[/C][/ROW]
[ROW][C]110[/C][C]85.5[/C][C]89.965[/C][C]92.15[/C][C]-2.18501[/C][C]-4.46499[/C][/ROW]
[ROW][C]111[/C][C]94.7[/C][C]99.2896[/C][C]91.4667[/C][C]7.82293[/C][C]-4.58959[/C][/ROW]
[ROW][C]112[/C][C]86.2[/C][C]90.1977[/C][C]90.55[/C][C]-0.352335[/C][C]-3.99767[/C][/ROW]
[ROW][C]113[/C][C]88.8[/C][C]88.8391[/C][C]90.1125[/C][C]-1.27343[/C][C]-0.0390714[/C][/ROW]
[ROW][C]114[/C][C]93.4[/C][C]95.0011[/C][C]90.0042[/C][C]4.99688[/C][C]-1.60105[/C][/ROW]
[ROW][C]115[/C][C]83.4[/C][C]82.4834[/C][C]90.0833[/C][C]-7.59996[/C][C]0.916627[/C][/ROW]
[ROW][C]116[/C][C]82.9[/C][C]82.2667[/C][C]90.6958[/C][C]-8.42913[/C][C]0.633294[/C][/ROW]
[ROW][C]117[/C][C]96.7[/C][C]96.2314[/C][C]91.675[/C][C]4.55641[/C][C]0.468588[/C][/ROW]
[ROW][C]118[/C][C]96.2[/C][C]98.0214[/C][C]92.6625[/C][C]5.35886[/C][C]-1.82136[/C][/ROW]
[ROW][C]119[/C][C]92.8[/C][C]94.0586[/C][C]93.3417[/C][C]0.716951[/C][C]-1.25862[/C][/ROW]
[ROW][C]120[/C][C]92.8[/C][C]93.0969[/C][C]94.25[/C][C]-1.15315[/C][C]-0.296853[/C][/ROW]
[ROW][C]121[/C][C]90[/C][C]92.7993[/C][C]95.2583[/C][C]-2.45903[/C][C]-2.7993[/C][/ROW]
[ROW][C]122[/C][C]95.4[/C][C]93.8233[/C][C]96.0083[/C][C]-2.18501[/C][C]1.57668[/C][/ROW]
[ROW][C]123[/C][C]108.3[/C][C]104.652[/C][C]96.8292[/C][C]7.82293[/C][C]3.64791[/C][/ROW]
[ROW][C]124[/C][C]96.3[/C][C]97.2935[/C][C]97.6458[/C][C]-0.352335[/C][C]-0.993499[/C][/ROW]
[ROW][C]125[/C][C]95[/C][C]97.2849[/C][C]98.5583[/C][C]-1.27343[/C][C]-2.2849[/C][/ROW]
[ROW][C]126[/C][C]109[/C][C]104.543[/C][C]99.5458[/C][C]4.99688[/C][C]4.45728[/C][/ROW]
[ROW][C]127[/C][C]92[/C][C]92.7917[/C][C]100.392[/C][C]-7.59996[/C][C]-0.791706[/C][/ROW]
[ROW][C]128[/C][C]92.3[/C][C]92.6292[/C][C]101.058[/C][C]-8.42913[/C][C]-0.329206[/C][/ROW]
[ROW][C]129[/C][C]107[/C][C]106.448[/C][C]101.892[/C][C]4.55641[/C][C]0.551921[/C][/ROW]
[ROW][C]130[/C][C]105.5[/C][C]108.051[/C][C]102.692[/C][C]5.35886[/C][C]-2.55053[/C][/ROW]
[ROW][C]131[/C][C]105.4[/C][C]104.284[/C][C]103.567[/C][C]0.716951[/C][C]1.11638[/C][/ROW]
[ROW][C]132[/C][C]103.9[/C][C]102.909[/C][C]104.063[/C][C]-1.15315[/C][C]0.990647[/C][/ROW]
[ROW][C]133[/C][C]99.2[/C][C]101.47[/C][C]103.929[/C][C]-2.45903[/C][C]-2.27014[/C][/ROW]
[ROW][C]134[/C][C]102.2[/C][C]102.061[/C][C]104.246[/C][C]-2.18501[/C][C]0.139176[/C][/ROW]
[ROW][C]135[/C][C]121.5[/C][C]112.585[/C][C]104.762[/C][C]7.82293[/C][C]8.91457[/C][/ROW]
[ROW][C]136[/C][C]102.3[/C][C]104.581[/C][C]104.933[/C][C]-0.352335[/C][C]-2.281[/C][/ROW]
[ROW][C]137[/C][C]110[/C][C]103.547[/C][C]104.821[/C][C]-1.27343[/C][C]6.4526[/C][/ROW]
[ROW][C]138[/C][C]105.9[/C][C]109.643[/C][C]104.646[/C][C]4.99688[/C][C]-3.74272[/C][/ROW]
[ROW][C]139[/C][C]91.9[/C][C]97.025[/C][C]104.625[/C][C]-7.59996[/C][C]-5.12504[/C][/ROW]
[ROW][C]140[/C][C]100[/C][C]96.3459[/C][C]104.775[/C][C]-8.42913[/C][C]3.65413[/C][/ROW]
[ROW][C]141[/C][C]111.7[/C][C]109.206[/C][C]104.65[/C][C]4.55641[/C][C]2.49359[/C][/ROW]
[ROW][C]142[/C][C]104.9[/C][C]109.617[/C][C]104.258[/C][C]5.35886[/C][C]-4.7172[/C][/ROW]
[ROW][C]143[/C][C]103.3[/C][C]104.404[/C][C]103.687[/C][C]0.716951[/C][C]-1.10445[/C][/ROW]
[ROW][C]144[/C][C]101.8[/C][C]102.193[/C][C]103.346[/C][C]-1.15315[/C][C]-0.392687[/C][/ROW]
[ROW][C]145[/C][C]100.8[/C][C]101.116[/C][C]103.575[/C][C]-2.45903[/C][C]-0.315971[/C][/ROW]
[ROW][C]146[/C][C]104.2[/C][C]101.407[/C][C]103.592[/C][C]-2.18501[/C][C]2.79334[/C][/ROW]
[ROW][C]147[/C][C]116.5[/C][C]110.948[/C][C]103.125[/C][C]7.82293[/C][C]5.55207[/C][/ROW]
[ROW][C]148[/C][C]97.9[/C][C]102.577[/C][C]102.929[/C][C]-0.352335[/C][C]-4.67683[/C][/ROW]
[ROW][C]149[/C][C]100.7[/C][C]101.722[/C][C]102.996[/C][C]-1.27343[/C][C]-1.0224[/C][/ROW]
[ROW][C]150[/C][C]107[/C][C]107.668[/C][C]102.671[/C][C]4.99688[/C][C]-0.667717[/C][/ROW]
[ROW][C]151[/C][C]96.3[/C][C]94.7[/C][C]102.3[/C][C]-7.59996[/C][C]1.59996[/C][/ROW]
[ROW][C]152[/C][C]96[/C][C]93.4792[/C][C]101.908[/C][C]-8.42913[/C][C]2.52079[/C][/ROW]
[ROW][C]153[/C][C]104.5[/C][C]105.811[/C][C]101.254[/C][C]4.55641[/C][C]-1.31058[/C][/ROW]
[ROW][C]154[/C][C]107.4[/C][C]106.513[/C][C]101.154[/C][C]5.35886[/C][C]0.88697[/C][/ROW]
[ROW][C]155[/C][C]102.4[/C][C]102.184[/C][C]101.467[/C][C]0.716951[/C][C]0.216382[/C][/ROW]
[ROW][C]156[/C][C]94.9[/C][C]100.389[/C][C]101.542[/C][C]-1.15315[/C][C]-5.48852[/C][/ROW]
[ROW][C]157[/C][C]98.8[/C][C]99.3285[/C][C]101.788[/C][C]-2.45903[/C][C]-0.528471[/C][/ROW]
[ROW][C]158[/C][C]96.8[/C][C]99.6983[/C][C]101.883[/C][C]-2.18501[/C][C]-2.89832[/C][/ROW]
[ROW][C]159[/C][C]108.2[/C][C]109.594[/C][C]101.771[/C][C]7.82293[/C][C]-1.39376[/C][/ROW]
[ROW][C]160[/C][C]103.8[/C][C]101.681[/C][C]102.033[/C][C]-0.352335[/C][C]2.119[/C][/ROW]
[ROW][C]161[/C][C]102.3[/C][C]101.127[/C][C]102.4[/C][C]-1.27343[/C][C]1.17343[/C][/ROW]
[ROW][C]162[/C][C]107.2[/C][C]107.809[/C][C]102.812[/C][C]4.99688[/C][C]-0.609384[/C][/ROW]
[ROW][C]163[/C][C]102[/C][C]95.6125[/C][C]103.212[/C][C]-7.59996[/C][C]6.38746[/C][/ROW]
[ROW][C]164[/C][C]92.6[/C][C]95.15[/C][C]103.579[/C][C]-8.42913[/C][C]-2.55004[/C][/ROW]
[ROW][C]165[/C][C]105.2[/C][C]108.415[/C][C]103.858[/C][C]4.55641[/C][C]-3.21475[/C][/ROW]
[ROW][C]166[/C][C]113[/C][C]109.321[/C][C]103.962[/C][C]5.35886[/C][C]3.67864[/C][/ROW]
[ROW][C]167[/C][C]105.6[/C][C]104.792[/C][C]104.075[/C][C]0.716951[/C][C]0.808049[/C][/ROW]
[ROW][C]168[/C][C]101.6[/C][C]103.022[/C][C]104.175[/C][C]-1.15315[/C][C]-1.42185[/C][/ROW]
[ROW][C]169[/C][C]101.7[/C][C]101.616[/C][C]104.075[/C][C]-2.45903[/C][C]0.0840291[/C][/ROW]
[ROW][C]170[/C][C]102.7[/C][C]101.623[/C][C]103.808[/C][C]-2.18501[/C][C]1.07668[/C][/ROW]
[ROW][C]171[/C][C]109[/C][C]111.823[/C][C]104[/C][C]7.82293[/C][C]-2.82293[/C][/ROW]
[ROW][C]172[/C][C]105.5[/C][C]103.902[/C][C]104.254[/C][C]-0.352335[/C][C]1.59817[/C][/ROW]
[ROW][C]173[/C][C]103.3[/C][C]102.789[/C][C]104.062[/C][C]-1.27343[/C][C]0.510929[/C][/ROW]
[ROW][C]174[/C][C]108.6[/C][C]108.947[/C][C]103.95[/C][C]4.99688[/C][C]-0.346884[/C][/ROW]
[ROW][C]175[/C][C]98.2[/C][C]96.3834[/C][C]103.983[/C][C]-7.59996[/C][C]1.81663[/C][/ROW]
[ROW][C]176[/C][C]90[/C][C]95.3875[/C][C]103.817[/C][C]-8.42913[/C][C]-5.38754[/C][/ROW]
[ROW][C]177[/C][C]112.4[/C][C]108.415[/C][C]103.858[/C][C]4.55641[/C][C]3.98525[/C][/ROW]
[ROW][C]178[/C][C]111.9[/C][C]109.409[/C][C]104.05[/C][C]5.35886[/C][C]2.49114[/C][/ROW]
[ROW][C]179[/C][C]102.1[/C][C]104.542[/C][C]103.825[/C][C]0.716951[/C][C]-2.44195[/C][/ROW]
[ROW][C]180[/C][C]102.4[/C][C]102.522[/C][C]103.675[/C][C]-1.15315[/C][C]-0.121853[/C][/ROW]
[ROW][C]181[/C][C]101.7[/C][C]101.203[/C][C]103.662[/C][C]-2.45903[/C][C]0.496529[/C][/ROW]
[ROW][C]182[/C][C]98.7[/C][C]101.498[/C][C]103.683[/C][C]-2.18501[/C][C]-2.79832[/C][/ROW]
[ROW][C]183[/C][C]114[/C][C]111.581[/C][C]103.758[/C][C]7.82293[/C][C]2.41874[/C][/ROW]
[ROW][C]184[/C][C]105.1[/C][C]103.368[/C][C]103.721[/C][C]-0.352335[/C][C]1.7315[/C][/ROW]
[ROW][C]185[/C][C]98.3[/C][C]102.652[/C][C]103.925[/C][C]-1.27343[/C][C]-4.35157[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]109.189[/C][C]104.192[/C][C]4.99688[/C][C]0.811449[/C][/ROW]
[ROW][C]187[/C][C]96.5[/C][C]96.7084[/C][C]104.308[/C][C]-7.59996[/C][C]-0.208373[/C][/ROW]
[ROW][C]188[/C][C]92.2[/C][C]96.3167[/C][C]104.746[/C][C]-8.42913[/C][C]-4.11671[/C][/ROW]
[ROW][C]189[/C][C]112[/C][C]109.815[/C][C]105.258[/C][C]4.55641[/C][C]2.18525[/C][/ROW]
[ROW][C]190[/C][C]111.4[/C][C]110.98[/C][C]105.621[/C][C]5.35886[/C][C]0.420304[/C][/ROW]
[ROW][C]191[/C][C]107.5[/C][C]106.8[/C][C]106.083[/C][C]0.716951[/C][C]0.699715[/C][/ROW]
[ROW][C]192[/C][C]103.4[/C][C]105.426[/C][C]106.579[/C][C]-1.15315[/C][C]-2.02602[/C][/ROW]
[ROW][C]193[/C][C]103.5[/C][C]104.466[/C][C]106.925[/C][C]-2.45903[/C][C]-0.965971[/C][/ROW]
[ROW][C]194[/C][C]107.4[/C][C]105.244[/C][C]107.429[/C][C]-2.18501[/C][C]2.15584[/C][/ROW]
[ROW][C]195[/C][C]117.6[/C][C]115.719[/C][C]107.896[/C][C]7.82293[/C][C]1.88124[/C][/ROW]
[ROW][C]196[/C][C]110.2[/C][C]107.527[/C][C]107.879[/C][C]-0.352335[/C][C]2.67317[/C][/ROW]
[ROW][C]197[/C][C]104.3[/C][C]106.631[/C][C]107.904[/C][C]-1.27343[/C][C]-2.33074[/C][/ROW]
[ROW][C]198[/C][C]115.9[/C][C]113.455[/C][C]108.458[/C][C]4.99688[/C][C]2.44478[/C][/ROW]
[ROW][C]199[/C][C]98.9[/C][C]101.45[/C][C]109.05[/C][C]-7.59996[/C][C]-2.55004[/C][/ROW]
[ROW][C]200[/C][C]101.9[/C][C]100.838[/C][C]109.267[/C][C]-8.42913[/C][C]1.06246[/C][/ROW]
[ROW][C]201[/C][C]113.5[/C][C]114.173[/C][C]109.617[/C][C]4.55641[/C][C]-0.673079[/C][/ROW]
[ROW][C]202[/C][C]109.5[/C][C]115.021[/C][C]109.662[/C][C]5.35886[/C][C]-5.52136[/C][/ROW]
[ROW][C]203[/C][C]110[/C][C]110.467[/C][C]109.75[/C][C]0.716951[/C][C]-0.466951[/C][/ROW]
[ROW][C]204[/C][C]114.2[/C][C]109.043[/C][C]110.196[/C][C]-1.15315[/C][C]5.15731[/C][/ROW]
[ROW][C]205[/C][C]106.9[/C][C]108.033[/C][C]110.492[/C][C]-2.45903[/C][C]-1.13264[/C][/ROW]
[ROW][C]206[/C][C]109.2[/C][C]108.657[/C][C]110.842[/C][C]-2.18501[/C][C]0.543343[/C][/ROW]
[ROW][C]207[/C][C]124.2[/C][C]NA[/C][C]NA[/C][C]7.82293[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]104.7[/C][C]NA[/C][C]NA[/C][C]-0.352335[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]111.9[/C][C]NA[/C][C]NA[/C][C]-1.27343[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]119[/C][C]NA[/C][C]NA[/C][C]4.99688[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]102.9[/C][C]NA[/C][C]NA[/C][C]-7.59996[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]106.3[/C][C]NA[/C][C]NA[/C][C]-8.42913[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310602&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
162.4NANA-2.45903NA
267.4NANA-2.18501NA
376.1NANA7.82293NA
467.4NANA-0.352335NA
574.5NANA-1.27343NA
672.6NANA4.99688NA
760.563.608471.2083-7.59996-3.10837
866.163.558471.9875-8.429132.54163
976.576.989772.43334.55641-0.489745
1076.878.158972.85.35886-1.35886
117773.800373.08330.7169513.19972
127172.334473.4875-1.15315-1.33435
1374.871.557674.0167-2.459033.24236
1473.772.198374.3833-2.185011.50168
1580.582.289674.46677.82293-1.78959
1671.874.172774.525-0.352335-2.37267
1776.973.293274.5667-1.273433.60676
1879.979.363674.36674.996880.536449
1965.966.558474.1583-7.59996-0.658373
2069.565.554273.9833-8.429133.94579
2175.178.364773.80834.55641-3.26475
2279.679.292273.93335.358860.307804
2375.274.79274.0750.7169510.408049
246872.721973.875-1.15315-4.72185
2572.871.44173.9-2.459031.35903
2671.571.802573.9875-2.18501-0.302491
2778.581.839674.01677.82293-3.33959
2876.873.885274.2375-0.3523352.91483
2975.373.089174.3625-1.273432.21093
3076.779.484474.48754.99688-2.78438
3169.767.141774.7417-7.599962.55829
3267.866.537574.9667-8.429131.26246
3377.579.664775.10834.55641-2.16475
3482.580.558975.25.358861.94114
3575.375.875375.15830.716951-0.575285
3670.973.988575.1417-1.15315-3.08852
377672.84175.3-2.459033.15903
3873.773.173375.3583-2.185010.526676
3979.783.335475.51257.82293-3.63543
4077.875.397775.75-0.3523352.40233
4173.374.505775.7792-1.27343-1.20574
4278.381.134476.13754.99688-2.83438
4371.968.845976.4458-7.599963.05413
446768.07576.5042-8.42913-1.07504
458281.577277.02084.556410.422755
4683.782.93877.57925.358860.76197
4774.878.612877.89580.716951-3.81278
488077.330278.4833-1.153152.66981
4974.376.628579.0875-2.45903-2.32847
5076.877.419279.6042-2.18501-0.619157
518988.077180.25427.822930.922908
5281.980.376880.7292-0.3523351.52317
5376.880.097481.3708-1.27343-3.2974
5488.987.217782.22084.996881.68228
5575.875.366782.9667-7.599960.433294
5675.575.079283.5083-8.429130.420794
5789.188.310683.75424.556410.789421
588889.36384.00425.35886-1.36303
5985.985.11784.40.7169510.783049
6089.383.555284.7083-1.153155.74481
6182.982.249384.7083-2.459030.650696
6281.282.469284.6542-2.18501-1.26916
6390.592.602184.77927.82293-2.10209
6486.484.464384.8167-0.3523351.93567
6581.883.659984.9333-1.27343-1.8599
6691.390.146985.154.996881.15312
6773.477.758485.3583-7.59996-4.35837
6876.677.304285.7333-8.42913-0.704206
699190.860686.30424.556410.139421
708791.925586.56675.35886-4.92553
7189.787.600386.88330.7169512.09972
7290.786.313587.4667-1.153154.38648
7386.585.403587.8625-2.459031.09653
7486.686.102588.2875-2.185010.497509
7598.896.460488.63757.822932.33957
7684.488.901889.2542-0.352335-4.50183
7791.488.697489.9708-1.273432.7026
7895.795.246990.254.996880.453116
7978.582.954290.5542-7.59996-4.45421
8081.782.5590.9792-8.42913-0.85004
8194.395.839791.28334.55641-1.53975
8298.597.092291.73335.358861.4078
8395.492.908692.19170.7169512.49138
8491.791.45192.6042-1.153150.24898
8592.890.84193.3-2.459031.95903
8690.591.877594.0625-2.18501-1.37749
87102.2102.36594.54177.82293-0.164592
8891.894.760295.1125-0.352335-2.96017
899594.484995.7583-1.273430.515095
90102101.12296.1254.996880.878116
9188.989.008496.6083-7.59996-0.108373
9289.688.954297.3833-8.429130.645794
9397.9102.38697.82924.55641-4.48558
94108.6103.76798.40835.358864.8328
95100.899.833699.11670.7169510.966382
9695.198.242799.3958-1.15315-3.14269
9710197.39199.85-2.459033.60903
98100.997.9192100.104-2.185012.98084
99102.5108.281100.4587.82293-5.78126
100105.4100.456100.808-0.3523354.944
10198.499.1224100.396-1.27343-0.722405
102105.3105.072100.0754.996880.228116
10396.591.841799.4417-7.599964.65829
10488.189.712598.1417-8.42913-1.61254
105107.9101.73197.1754.556416.16859
106107101.40996.055.358865.59114
10792.595.56794.850.716951-3.06695
10895.792.80193.9542-1.153152.89898
10985.290.453592.9125-2.45903-5.25347
11085.589.96592.15-2.18501-4.46499
11194.799.289691.46677.82293-4.58959
11286.290.197790.55-0.352335-3.99767
11388.888.839190.1125-1.27343-0.0390714
11493.495.001190.00424.99688-1.60105
11583.482.483490.0833-7.599960.916627
11682.982.266790.6958-8.429130.633294
11796.796.231491.6754.556410.468588
11896.298.021492.66255.35886-1.82136
11992.894.058693.34170.716951-1.25862
12092.893.096994.25-1.15315-0.296853
1219092.799395.2583-2.45903-2.7993
12295.493.823396.0083-2.185011.57668
123108.3104.65296.82927.822933.64791
12496.397.293597.6458-0.352335-0.993499
1259597.284998.5583-1.27343-2.2849
126109104.54399.54584.996884.45728
1279292.7917100.392-7.59996-0.791706
12892.392.6292101.058-8.42913-0.329206
129107106.448101.8924.556410.551921
130105.5108.051102.6925.35886-2.55053
131105.4104.284103.5670.7169511.11638
132103.9102.909104.063-1.153150.990647
13399.2101.47103.929-2.45903-2.27014
134102.2102.061104.246-2.185010.139176
135121.5112.585104.7627.822938.91457
136102.3104.581104.933-0.352335-2.281
137110103.547104.821-1.273436.4526
138105.9109.643104.6464.99688-3.74272
13991.997.025104.625-7.59996-5.12504
14010096.3459104.775-8.429133.65413
141111.7109.206104.654.556412.49359
142104.9109.617104.2585.35886-4.7172
143103.3104.404103.6870.716951-1.10445
144101.8102.193103.346-1.15315-0.392687
145100.8101.116103.575-2.45903-0.315971
146104.2101.407103.592-2.185012.79334
147116.5110.948103.1257.822935.55207
14897.9102.577102.929-0.352335-4.67683
149100.7101.722102.996-1.27343-1.0224
150107107.668102.6714.99688-0.667717
15196.394.7102.3-7.599961.59996
1529693.4792101.908-8.429132.52079
153104.5105.811101.2544.55641-1.31058
154107.4106.513101.1545.358860.88697
155102.4102.184101.4670.7169510.216382
15694.9100.389101.542-1.15315-5.48852
15798.899.3285101.788-2.45903-0.528471
15896.899.6983101.883-2.18501-2.89832
159108.2109.594101.7717.82293-1.39376
160103.8101.681102.033-0.3523352.119
161102.3101.127102.4-1.273431.17343
162107.2107.809102.8124.99688-0.609384
16310295.6125103.212-7.599966.38746
16492.695.15103.579-8.42913-2.55004
165105.2108.415103.8584.55641-3.21475
166113109.321103.9625.358863.67864
167105.6104.792104.0750.7169510.808049
168101.6103.022104.175-1.15315-1.42185
169101.7101.616104.075-2.459030.0840291
170102.7101.623103.808-2.185011.07668
171109111.8231047.82293-2.82293
172105.5103.902104.254-0.3523351.59817
173103.3102.789104.062-1.273430.510929
174108.6108.947103.954.99688-0.346884
17598.296.3834103.983-7.599961.81663
1769095.3875103.817-8.42913-5.38754
177112.4108.415103.8584.556413.98525
178111.9109.409104.055.358862.49114
179102.1104.542103.8250.716951-2.44195
180102.4102.522103.675-1.15315-0.121853
181101.7101.203103.662-2.459030.496529
18298.7101.498103.683-2.18501-2.79832
183114111.581103.7587.822932.41874
184105.1103.368103.721-0.3523351.7315
18598.3102.652103.925-1.27343-4.35157
186110109.189104.1924.996880.811449
18796.596.7084104.308-7.59996-0.208373
18892.296.3167104.746-8.42913-4.11671
189112109.815105.2584.556412.18525
190111.4110.98105.6215.358860.420304
191107.5106.8106.0830.7169510.699715
192103.4105.426106.579-1.15315-2.02602
193103.5104.466106.925-2.45903-0.965971
194107.4105.244107.429-2.185012.15584
195117.6115.719107.8967.822931.88124
196110.2107.527107.879-0.3523352.67317
197104.3106.631107.904-1.27343-2.33074
198115.9113.455108.4584.996882.44478
19998.9101.45109.05-7.59996-2.55004
200101.9100.838109.267-8.429131.06246
201113.5114.173109.6174.55641-0.673079
202109.5115.021109.6625.35886-5.52136
203110110.467109.750.716951-0.466951
204114.2109.043110.196-1.153155.15731
205106.9108.033110.492-2.45903-1.13264
206109.2108.657110.842-2.185010.543343
207124.2NANA7.82293NA
208104.7NANA-0.352335NA
209111.9NANA-1.27343NA
210119NANA4.99688NA
211102.9NANA-7.59996NA
212106.3NANA-8.42913NA



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')