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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationSun, 03 Dec 2017 14:18:15 +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/03/t1512307422bzni4m2a93p6ru8.htm/, Retrieved Tue, 14 May 2024 22:39:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=308452, Retrieved Tue, 14 May 2024 22:39:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsFood industry in Belgium
Estimated Impact74
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Classical Decompo...] [2017-12-03 13:18:15] [97ca58e32232a99e44a6c848c7facc09] [Current]
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Dataseries X:
58,5
59,8
64,6
62,2
68
64,3
58,9
64,8
67,5
76,2
73,7
70,4
67,7
63,7
72,4
66
70,1
70,4
66,6
72,6
74
79
76,1
72,3
71,6
67,2
73,8
70,8
71,4
70,4
70,7
70,6
75,5
82,1
74,3
76,3
74,5
71,1
73,3
73,8
69
71,1
71,9
69
77,3
82,8
74
77,6
72,3
70,7
81
76,4
72,3
79,5
73,3
74,5
82,7
83,8
81,6
85,5
76,7
71,8
80,2
76,8
76,1
80,7
71,3
80,9
85
84,5
87,7
87,7
80,2
74,4
85,8
77
84,5
83,6
77,7
85,7
87,9
93,7
92,3
87
89,1
81,3
92,7
83,9
87,3
89,1
86,9
91,7
93
105,3
101,6
94,2
100,5
95,8
95,8
102,1
96
96,8
98,9
93,4
105,5
110,9
98,6
102,6
93,5
90,8
99,7
97,8
91,1
98,1
96
93,5
101,2
105,2
98,9
101,3
92,1
90,6
105,4
98,4
92,7
101,2
93,4
98,3
104,3
107
107,7
108,9
99,6
96,1
109
99,5
104,6
99,9
94,1
105,3
110,4
110,5
110
108,5
104,3
101,2
109,2
99,6
105,6
106,2
102,2
107,5
105,8
120,5
113,2
104,3
107,7
99,2
105,1
104,3
106,1
100,8
106,7
101,6
104,4
114,8
105,4
104
102
96,5
102,3
105,3
101,9
102,2
102,8
100,4
110,7
116,4
106
109,2
103
99,8
109,8
107,3
101,2
111,8
106,9
103,5
113,1
119,4
113,3
115
104,7
107,2
116,6
111,3
111,4
115
102,4
111,4
113,2
112,9
114,2
115,6
107,1
102,3
117,9
105,8
114,3
113,1
102,9
112,2




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=308452&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=308452&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308452&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
158.5NANA-1.89524NA
259.8NANA-6.05456NA
364.6NANA2.28296NA
462.2NANA-1.79413NA
568NANA-2.55767NA
664.3NANA-0.562095NA
758.961.729866.125-4.39524-2.82976
864.864.640566.6708-2.030290.159461
967.569.999167.15832.84078-2.49912
1076.275.74567.64178.103280.455049
1173.771.276367.88753.388822.42368
1270.470.902568.22922.67338-0.502549
1367.766.908968.8042-1.895240.791078
1463.763.395469.45-6.054560.304559
1572.472.328870.04582.282960.0712099
166668.639270.4333-1.79413-2.63921
1770.168.092370.65-2.557672.00767
1870.470.267170.8292-0.5620950.132929
1966.666.675671.0708-4.39524-0.0755885
2072.669.348971.3792-2.030293.25113
217474.424171.58332.84078-0.424118
227979.94571.84178.10328-0.944951
2376.175.484772.09583.388820.615343
2472.374.823472.152.67338-2.52338
2571.670.425672.3208-1.895241.17441
2667.266.353872.4083-6.054560.846225
2773.874.670572.38752.28296-0.870457
2870.870.78572.5792-1.794130.0149599
2971.470.075772.6333-2.557671.32433
3070.472.162972.725-0.562095-1.7629
3170.768.617373.0125-4.395242.08274
3270.671.265573.2958-2.03029-0.665539
3375.576.278373.43752.84078-0.778285
3482.181.64573.54178.103280.455049
3574.376.955573.56673.38882-2.65549
3676.376.169273.49582.673380.130784
3774.571.679873.575-1.895242.82024
3871.167.503873.5583-6.054563.59623
3973.375.849673.56672.28296-2.54962
4073.871.876773.6708-1.794131.92329
416971.129873.6875-2.55767-2.12983
4271.173.167173.7292-0.562095-2.06707
4371.969.296473.6917-4.395242.60358
446971.55373.5833-2.03029-2.55304
4577.376.728373.88752.840780.571715
4682.882.4274.31678.103280.380049
477477.951374.56253.38882-3.95132
4877.677.723475.052.67338-0.123383
4972.373.563175.4583-1.89524-1.26309
5070.769.691375.7458-6.054561.00873
518178.48376.22.282962.51704
5276.474.672576.4667-1.794131.72746
5372.374.267376.825-2.55767-1.96733
5479.576.908777.4708-0.5620952.59126
5573.373.588177.9833-4.39524-0.288088
5674.576.182278.2125-2.03029-1.68221
5782.781.065878.2252.840781.63422
5883.886.311678.20838.10328-2.51162
5981.681.772278.38333.38882-0.172157
6085.581.26578.59172.673384.23495
6176.776.663178.5583-1.895240.0369115
6271.872.687178.7417-6.05456-0.887108
6380.281.387179.10422.28296-1.18712
6476.877.43579.2292-1.79413-0.63504
6576.176.954879.5125-2.55767-0.854832
6680.779.296279.8583-0.5620951.40376
6771.375.700680.0958-4.39524-4.40059
6880.978.319780.35-2.030292.58029
698583.532580.69172.840781.46755
7084.589.036680.93338.10328-4.53662
7187.784.680581.29173.388823.01951
7287.784.435981.76252.673383.26412
7380.280.254882.15-1.89524-0.0547552
7474.476.562182.6167-6.05456-2.16211
7585.885.220582.93752.282960.579543
767781.647583.4417-1.79413-4.64754
7784.581.45984.0167-2.557673.041
7883.683.617184.1792-0.562095-0.0170713
7977.780.125684.5208-4.39524-2.42559
8085.783.148985.1792-2.030292.55113
8187.988.59585.75422.84078-0.694951
8293.794.432586.32928.10328-0.732451
8392.390.122286.73333.388822.17784
848789.752587.07922.67338-2.75255
8589.185.796487.6917-1.895243.30358
8681.382.270488.325-6.05456-0.970441
8792.791.070588.78752.282961.62954
8883.987.689289.4833-1.79413-3.78921
8987.387.796590.3542-2.55767-0.496498
9089.190.479691.0417-0.562095-1.37957
9186.987.421491.8167-4.39524-0.521422
9291.790.865592.8958-2.030290.834461
939396.4793.62922.84078-3.46995
94105.3102.6294.51678.103282.68005
95101.699.026395.63753.388822.57368
9694.298.994296.32082.67338-4.79422
97100.595.246497.1417-1.895245.25358
9895.891.657997.7125-6.054564.14206
9995.8100.58798.30422.28296-4.78712
100102.197.264299.0583-1.794134.83579
1019696.60999.1667-2.55767-0.608998
10296.898.829699.3917-0.562095-2.02957
10398.995.054899.45-4.395243.84524
10493.496.919798.95-2.03029-3.51971
105105.5101.74598.90422.840783.75505
106110.9106.99198.88758.103283.90922
10798.6101.89398.50423.38882-3.29299
108102.6101.02898.35422.673381.57245
10993.596.392398.2875-1.89524-2.89226
11090.892.116398.1708-6.05456-1.31627
11199.7100.27997.99582.28296-0.57879
11297.895.78597.5792-1.794132.01496
11391.194.796597.3542-2.55767-3.6965
11498.196.750497.3125-0.5620951.3496
1159692.804897.2-4.395243.19524
11693.595.10397.1333-2.03029-1.60304
117101.2100.20397.36252.840780.996715
118105.2105.72897.6258.10328-0.528285
11998.9101.10597.71673.38882-2.20549
120101.3100.58697.91252.673380.714117
12192.196.038197.9333-1.89524-3.93809
12290.691.970498.025-6.05456-1.37044
123105.4100.63798.35422.282964.76288
12498.496.764298.5583-1.794131.63579
12592.796.442399-2.55767-3.74233
126101.299.121299.6833-0.5620952.07876
12793.495.9173100.312-4.39524-2.51726
12898.398.8239100.854-2.03029-0.523873
129104.3104.074101.2332.840780.225882
130107109.532101.4298.10328-2.53245
131107.7105.36101.9713.388822.34034
132108.9105.086102.4122.673383.81412
13399.6100.492102.387-1.89524-0.892255
13496.196.6538102.708-6.05456-0.553775
135109105.537103.2542.282963.46288
13699.5101.86103.654-1.79413-2.36004
137104.6101.338103.896-2.557673.26183
13899.9103.413103.975-0.562095-3.5129
13994.199.7589104.154-4.39524-5.65892
140105.3102.532104.562-2.030292.76779
141110.4107.624104.7832.840782.77588
142110.5112.899104.7968.10328-2.39912
143110108.23104.8423.388821.76951
144108.5107.819105.1462.673380.680784
145104.3103.851105.746-1.895240.449412
146101.2100.12106.175-6.054561.07956
147109.2108.358106.0752.282960.842043
14899.6104.506106.3-1.79413-4.90587
149105.6104.292106.85-2.557671.30767
150106.2106.246106.808-0.562095-0.046238
151102.2102.38106.775-4.39524-0.179755
152107.5104.803106.833-2.030292.69696
153105.8109.42106.5792.84078-3.61995
154120.5114.707106.6048.103285.79255
155113.2110.21106.8213.388822.99034
156104.3109.29106.6172.67338-4.99005
157107.7104.684106.579-1.895243.01608
15899.2100.466106.521-6.05456-1.26627
159105.1108.5106.2172.28296-3.39962
160104.3104.127105.921-1.794130.173293
161106.1102.801105.358-2.557673.29933
162100.8104.459105.021-0.562095-3.65874
163106.7100.376104.771-4.395246.32441
164101.6102.391104.421-2.03029-0.790539
165104.4107.032104.1922.84078-2.63245
166114.8112.22104.1178.103282.58005
167105.4107.372103.9833.38882-1.97216
168104106.54103.8672.67338-2.54005
169102101.867103.762-1.895240.132745
17096.597.4954103.55-6.05456-0.995441
171102.3106.045103.7622.28296-3.74546
172105.3102.298104.092-1.794133.00246
173101.9101.626104.183-2.557670.274335
174102.2103.863104.425-0.562095-1.6629
175102.8100.288104.683-4.395242.51191
176100.4102.832104.862-2.03029-2.43221
177110.7108.153105.3132.840782.54672
178116.4113.812105.7088.103282.58838
179106109.151105.7623.38882-3.15132
180109.2108.807106.1332.673380.393284
181103104.809106.704-1.89524-1.80892
18299.8100.95107.004-6.05456-1.14961
183109.8109.516107.2332.282960.28371
184107.3105.664107.458-1.794131.63579
185101.2105.33107.887-2.55767-4.12983
186111.8107.871108.433-0.5620953.92876
187106.9104.351108.746-4.395242.54941
188103.5107.095109.125-2.03029-3.59471
189113.1112.557109.7172.840780.542549
190119.4118.27110.1678.103281.13005
191113.3114.147110.7583.38882-0.847157
192115113.99111.3172.673381.00995
193104.7109.367111.262-1.89524-4.66726
194107.2105.35111.404-6.054561.85039
195116.6114.02111.7372.282962.57954
196111.3109.677111.471-1.794131.62329
197111.4108.68111.238-2.557672.72017
198115110.738111.3-0.5620954.2621
199102.4107.03111.425-4.39524-4.62976
200111.4109.291111.321-2.030292.10946
201113.2114.012111.1712.84078-0.811618
202112.9119.099110.9968.10328-6.19912
203114.2114.276110.8873.38882-0.0763238
204115.6113.603110.9292.673381.99745
205107.1108.976110.871-1.89524-1.87559
206102.3104.87110.925-6.05456-2.57044
207117.9NANA2.28296NA
208105.8NANA-1.79413NA
209114.3NANA-2.55767NA
210113.1NANA-0.562095NA
211102.9NANA-4.39524NA
212112.2NANA-2.03029NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 58.5 & NA & NA & -1.89524 & NA \tabularnewline
2 & 59.8 & NA & NA & -6.05456 & NA \tabularnewline
3 & 64.6 & NA & NA & 2.28296 & NA \tabularnewline
4 & 62.2 & NA & NA & -1.79413 & NA \tabularnewline
5 & 68 & NA & NA & -2.55767 & NA \tabularnewline
6 & 64.3 & NA & NA & -0.562095 & NA \tabularnewline
7 & 58.9 & 61.7298 & 66.125 & -4.39524 & -2.82976 \tabularnewline
8 & 64.8 & 64.6405 & 66.6708 & -2.03029 & 0.159461 \tabularnewline
9 & 67.5 & 69.9991 & 67.1583 & 2.84078 & -2.49912 \tabularnewline
10 & 76.2 & 75.745 & 67.6417 & 8.10328 & 0.455049 \tabularnewline
11 & 73.7 & 71.2763 & 67.8875 & 3.38882 & 2.42368 \tabularnewline
12 & 70.4 & 70.9025 & 68.2292 & 2.67338 & -0.502549 \tabularnewline
13 & 67.7 & 66.9089 & 68.8042 & -1.89524 & 0.791078 \tabularnewline
14 & 63.7 & 63.3954 & 69.45 & -6.05456 & 0.304559 \tabularnewline
15 & 72.4 & 72.3288 & 70.0458 & 2.28296 & 0.0712099 \tabularnewline
16 & 66 & 68.6392 & 70.4333 & -1.79413 & -2.63921 \tabularnewline
17 & 70.1 & 68.0923 & 70.65 & -2.55767 & 2.00767 \tabularnewline
18 & 70.4 & 70.2671 & 70.8292 & -0.562095 & 0.132929 \tabularnewline
19 & 66.6 & 66.6756 & 71.0708 & -4.39524 & -0.0755885 \tabularnewline
20 & 72.6 & 69.3489 & 71.3792 & -2.03029 & 3.25113 \tabularnewline
21 & 74 & 74.4241 & 71.5833 & 2.84078 & -0.424118 \tabularnewline
22 & 79 & 79.945 & 71.8417 & 8.10328 & -0.944951 \tabularnewline
23 & 76.1 & 75.4847 & 72.0958 & 3.38882 & 0.615343 \tabularnewline
24 & 72.3 & 74.8234 & 72.15 & 2.67338 & -2.52338 \tabularnewline
25 & 71.6 & 70.4256 & 72.3208 & -1.89524 & 1.17441 \tabularnewline
26 & 67.2 & 66.3538 & 72.4083 & -6.05456 & 0.846225 \tabularnewline
27 & 73.8 & 74.6705 & 72.3875 & 2.28296 & -0.870457 \tabularnewline
28 & 70.8 & 70.785 & 72.5792 & -1.79413 & 0.0149599 \tabularnewline
29 & 71.4 & 70.0757 & 72.6333 & -2.55767 & 1.32433 \tabularnewline
30 & 70.4 & 72.1629 & 72.725 & -0.562095 & -1.7629 \tabularnewline
31 & 70.7 & 68.6173 & 73.0125 & -4.39524 & 2.08274 \tabularnewline
32 & 70.6 & 71.2655 & 73.2958 & -2.03029 & -0.665539 \tabularnewline
33 & 75.5 & 76.2783 & 73.4375 & 2.84078 & -0.778285 \tabularnewline
34 & 82.1 & 81.645 & 73.5417 & 8.10328 & 0.455049 \tabularnewline
35 & 74.3 & 76.9555 & 73.5667 & 3.38882 & -2.65549 \tabularnewline
36 & 76.3 & 76.1692 & 73.4958 & 2.67338 & 0.130784 \tabularnewline
37 & 74.5 & 71.6798 & 73.575 & -1.89524 & 2.82024 \tabularnewline
38 & 71.1 & 67.5038 & 73.5583 & -6.05456 & 3.59623 \tabularnewline
39 & 73.3 & 75.8496 & 73.5667 & 2.28296 & -2.54962 \tabularnewline
40 & 73.8 & 71.8767 & 73.6708 & -1.79413 & 1.92329 \tabularnewline
41 & 69 & 71.1298 & 73.6875 & -2.55767 & -2.12983 \tabularnewline
42 & 71.1 & 73.1671 & 73.7292 & -0.562095 & -2.06707 \tabularnewline
43 & 71.9 & 69.2964 & 73.6917 & -4.39524 & 2.60358 \tabularnewline
44 & 69 & 71.553 & 73.5833 & -2.03029 & -2.55304 \tabularnewline
45 & 77.3 & 76.7283 & 73.8875 & 2.84078 & 0.571715 \tabularnewline
46 & 82.8 & 82.42 & 74.3167 & 8.10328 & 0.380049 \tabularnewline
47 & 74 & 77.9513 & 74.5625 & 3.38882 & -3.95132 \tabularnewline
48 & 77.6 & 77.7234 & 75.05 & 2.67338 & -0.123383 \tabularnewline
49 & 72.3 & 73.5631 & 75.4583 & -1.89524 & -1.26309 \tabularnewline
50 & 70.7 & 69.6913 & 75.7458 & -6.05456 & 1.00873 \tabularnewline
51 & 81 & 78.483 & 76.2 & 2.28296 & 2.51704 \tabularnewline
52 & 76.4 & 74.6725 & 76.4667 & -1.79413 & 1.72746 \tabularnewline
53 & 72.3 & 74.2673 & 76.825 & -2.55767 & -1.96733 \tabularnewline
54 & 79.5 & 76.9087 & 77.4708 & -0.562095 & 2.59126 \tabularnewline
55 & 73.3 & 73.5881 & 77.9833 & -4.39524 & -0.288088 \tabularnewline
56 & 74.5 & 76.1822 & 78.2125 & -2.03029 & -1.68221 \tabularnewline
57 & 82.7 & 81.0658 & 78.225 & 2.84078 & 1.63422 \tabularnewline
58 & 83.8 & 86.3116 & 78.2083 & 8.10328 & -2.51162 \tabularnewline
59 & 81.6 & 81.7722 & 78.3833 & 3.38882 & -0.172157 \tabularnewline
60 & 85.5 & 81.265 & 78.5917 & 2.67338 & 4.23495 \tabularnewline
61 & 76.7 & 76.6631 & 78.5583 & -1.89524 & 0.0369115 \tabularnewline
62 & 71.8 & 72.6871 & 78.7417 & -6.05456 & -0.887108 \tabularnewline
63 & 80.2 & 81.3871 & 79.1042 & 2.28296 & -1.18712 \tabularnewline
64 & 76.8 & 77.435 & 79.2292 & -1.79413 & -0.63504 \tabularnewline
65 & 76.1 & 76.9548 & 79.5125 & -2.55767 & -0.854832 \tabularnewline
66 & 80.7 & 79.2962 & 79.8583 & -0.562095 & 1.40376 \tabularnewline
67 & 71.3 & 75.7006 & 80.0958 & -4.39524 & -4.40059 \tabularnewline
68 & 80.9 & 78.3197 & 80.35 & -2.03029 & 2.58029 \tabularnewline
69 & 85 & 83.5325 & 80.6917 & 2.84078 & 1.46755 \tabularnewline
70 & 84.5 & 89.0366 & 80.9333 & 8.10328 & -4.53662 \tabularnewline
71 & 87.7 & 84.6805 & 81.2917 & 3.38882 & 3.01951 \tabularnewline
72 & 87.7 & 84.4359 & 81.7625 & 2.67338 & 3.26412 \tabularnewline
73 & 80.2 & 80.2548 & 82.15 & -1.89524 & -0.0547552 \tabularnewline
74 & 74.4 & 76.5621 & 82.6167 & -6.05456 & -2.16211 \tabularnewline
75 & 85.8 & 85.2205 & 82.9375 & 2.28296 & 0.579543 \tabularnewline
76 & 77 & 81.6475 & 83.4417 & -1.79413 & -4.64754 \tabularnewline
77 & 84.5 & 81.459 & 84.0167 & -2.55767 & 3.041 \tabularnewline
78 & 83.6 & 83.6171 & 84.1792 & -0.562095 & -0.0170713 \tabularnewline
79 & 77.7 & 80.1256 & 84.5208 & -4.39524 & -2.42559 \tabularnewline
80 & 85.7 & 83.1489 & 85.1792 & -2.03029 & 2.55113 \tabularnewline
81 & 87.9 & 88.595 & 85.7542 & 2.84078 & -0.694951 \tabularnewline
82 & 93.7 & 94.4325 & 86.3292 & 8.10328 & -0.732451 \tabularnewline
83 & 92.3 & 90.1222 & 86.7333 & 3.38882 & 2.17784 \tabularnewline
84 & 87 & 89.7525 & 87.0792 & 2.67338 & -2.75255 \tabularnewline
85 & 89.1 & 85.7964 & 87.6917 & -1.89524 & 3.30358 \tabularnewline
86 & 81.3 & 82.2704 & 88.325 & -6.05456 & -0.970441 \tabularnewline
87 & 92.7 & 91.0705 & 88.7875 & 2.28296 & 1.62954 \tabularnewline
88 & 83.9 & 87.6892 & 89.4833 & -1.79413 & -3.78921 \tabularnewline
89 & 87.3 & 87.7965 & 90.3542 & -2.55767 & -0.496498 \tabularnewline
90 & 89.1 & 90.4796 & 91.0417 & -0.562095 & -1.37957 \tabularnewline
91 & 86.9 & 87.4214 & 91.8167 & -4.39524 & -0.521422 \tabularnewline
92 & 91.7 & 90.8655 & 92.8958 & -2.03029 & 0.834461 \tabularnewline
93 & 93 & 96.47 & 93.6292 & 2.84078 & -3.46995 \tabularnewline
94 & 105.3 & 102.62 & 94.5167 & 8.10328 & 2.68005 \tabularnewline
95 & 101.6 & 99.0263 & 95.6375 & 3.38882 & 2.57368 \tabularnewline
96 & 94.2 & 98.9942 & 96.3208 & 2.67338 & -4.79422 \tabularnewline
97 & 100.5 & 95.2464 & 97.1417 & -1.89524 & 5.25358 \tabularnewline
98 & 95.8 & 91.6579 & 97.7125 & -6.05456 & 4.14206 \tabularnewline
99 & 95.8 & 100.587 & 98.3042 & 2.28296 & -4.78712 \tabularnewline
100 & 102.1 & 97.2642 & 99.0583 & -1.79413 & 4.83579 \tabularnewline
101 & 96 & 96.609 & 99.1667 & -2.55767 & -0.608998 \tabularnewline
102 & 96.8 & 98.8296 & 99.3917 & -0.562095 & -2.02957 \tabularnewline
103 & 98.9 & 95.0548 & 99.45 & -4.39524 & 3.84524 \tabularnewline
104 & 93.4 & 96.9197 & 98.95 & -2.03029 & -3.51971 \tabularnewline
105 & 105.5 & 101.745 & 98.9042 & 2.84078 & 3.75505 \tabularnewline
106 & 110.9 & 106.991 & 98.8875 & 8.10328 & 3.90922 \tabularnewline
107 & 98.6 & 101.893 & 98.5042 & 3.38882 & -3.29299 \tabularnewline
108 & 102.6 & 101.028 & 98.3542 & 2.67338 & 1.57245 \tabularnewline
109 & 93.5 & 96.3923 & 98.2875 & -1.89524 & -2.89226 \tabularnewline
110 & 90.8 & 92.1163 & 98.1708 & -6.05456 & -1.31627 \tabularnewline
111 & 99.7 & 100.279 & 97.9958 & 2.28296 & -0.57879 \tabularnewline
112 & 97.8 & 95.785 & 97.5792 & -1.79413 & 2.01496 \tabularnewline
113 & 91.1 & 94.7965 & 97.3542 & -2.55767 & -3.6965 \tabularnewline
114 & 98.1 & 96.7504 & 97.3125 & -0.562095 & 1.3496 \tabularnewline
115 & 96 & 92.8048 & 97.2 & -4.39524 & 3.19524 \tabularnewline
116 & 93.5 & 95.103 & 97.1333 & -2.03029 & -1.60304 \tabularnewline
117 & 101.2 & 100.203 & 97.3625 & 2.84078 & 0.996715 \tabularnewline
118 & 105.2 & 105.728 & 97.625 & 8.10328 & -0.528285 \tabularnewline
119 & 98.9 & 101.105 & 97.7167 & 3.38882 & -2.20549 \tabularnewline
120 & 101.3 & 100.586 & 97.9125 & 2.67338 & 0.714117 \tabularnewline
121 & 92.1 & 96.0381 & 97.9333 & -1.89524 & -3.93809 \tabularnewline
122 & 90.6 & 91.9704 & 98.025 & -6.05456 & -1.37044 \tabularnewline
123 & 105.4 & 100.637 & 98.3542 & 2.28296 & 4.76288 \tabularnewline
124 & 98.4 & 96.7642 & 98.5583 & -1.79413 & 1.63579 \tabularnewline
125 & 92.7 & 96.4423 & 99 & -2.55767 & -3.74233 \tabularnewline
126 & 101.2 & 99.1212 & 99.6833 & -0.562095 & 2.07876 \tabularnewline
127 & 93.4 & 95.9173 & 100.312 & -4.39524 & -2.51726 \tabularnewline
128 & 98.3 & 98.8239 & 100.854 & -2.03029 & -0.523873 \tabularnewline
129 & 104.3 & 104.074 & 101.233 & 2.84078 & 0.225882 \tabularnewline
130 & 107 & 109.532 & 101.429 & 8.10328 & -2.53245 \tabularnewline
131 & 107.7 & 105.36 & 101.971 & 3.38882 & 2.34034 \tabularnewline
132 & 108.9 & 105.086 & 102.412 & 2.67338 & 3.81412 \tabularnewline
133 & 99.6 & 100.492 & 102.387 & -1.89524 & -0.892255 \tabularnewline
134 & 96.1 & 96.6538 & 102.708 & -6.05456 & -0.553775 \tabularnewline
135 & 109 & 105.537 & 103.254 & 2.28296 & 3.46288 \tabularnewline
136 & 99.5 & 101.86 & 103.654 & -1.79413 & -2.36004 \tabularnewline
137 & 104.6 & 101.338 & 103.896 & -2.55767 & 3.26183 \tabularnewline
138 & 99.9 & 103.413 & 103.975 & -0.562095 & -3.5129 \tabularnewline
139 & 94.1 & 99.7589 & 104.154 & -4.39524 & -5.65892 \tabularnewline
140 & 105.3 & 102.532 & 104.562 & -2.03029 & 2.76779 \tabularnewline
141 & 110.4 & 107.624 & 104.783 & 2.84078 & 2.77588 \tabularnewline
142 & 110.5 & 112.899 & 104.796 & 8.10328 & -2.39912 \tabularnewline
143 & 110 & 108.23 & 104.842 & 3.38882 & 1.76951 \tabularnewline
144 & 108.5 & 107.819 & 105.146 & 2.67338 & 0.680784 \tabularnewline
145 & 104.3 & 103.851 & 105.746 & -1.89524 & 0.449412 \tabularnewline
146 & 101.2 & 100.12 & 106.175 & -6.05456 & 1.07956 \tabularnewline
147 & 109.2 & 108.358 & 106.075 & 2.28296 & 0.842043 \tabularnewline
148 & 99.6 & 104.506 & 106.3 & -1.79413 & -4.90587 \tabularnewline
149 & 105.6 & 104.292 & 106.85 & -2.55767 & 1.30767 \tabularnewline
150 & 106.2 & 106.246 & 106.808 & -0.562095 & -0.046238 \tabularnewline
151 & 102.2 & 102.38 & 106.775 & -4.39524 & -0.179755 \tabularnewline
152 & 107.5 & 104.803 & 106.833 & -2.03029 & 2.69696 \tabularnewline
153 & 105.8 & 109.42 & 106.579 & 2.84078 & -3.61995 \tabularnewline
154 & 120.5 & 114.707 & 106.604 & 8.10328 & 5.79255 \tabularnewline
155 & 113.2 & 110.21 & 106.821 & 3.38882 & 2.99034 \tabularnewline
156 & 104.3 & 109.29 & 106.617 & 2.67338 & -4.99005 \tabularnewline
157 & 107.7 & 104.684 & 106.579 & -1.89524 & 3.01608 \tabularnewline
158 & 99.2 & 100.466 & 106.521 & -6.05456 & -1.26627 \tabularnewline
159 & 105.1 & 108.5 & 106.217 & 2.28296 & -3.39962 \tabularnewline
160 & 104.3 & 104.127 & 105.921 & -1.79413 & 0.173293 \tabularnewline
161 & 106.1 & 102.801 & 105.358 & -2.55767 & 3.29933 \tabularnewline
162 & 100.8 & 104.459 & 105.021 & -0.562095 & -3.65874 \tabularnewline
163 & 106.7 & 100.376 & 104.771 & -4.39524 & 6.32441 \tabularnewline
164 & 101.6 & 102.391 & 104.421 & -2.03029 & -0.790539 \tabularnewline
165 & 104.4 & 107.032 & 104.192 & 2.84078 & -2.63245 \tabularnewline
166 & 114.8 & 112.22 & 104.117 & 8.10328 & 2.58005 \tabularnewline
167 & 105.4 & 107.372 & 103.983 & 3.38882 & -1.97216 \tabularnewline
168 & 104 & 106.54 & 103.867 & 2.67338 & -2.54005 \tabularnewline
169 & 102 & 101.867 & 103.762 & -1.89524 & 0.132745 \tabularnewline
170 & 96.5 & 97.4954 & 103.55 & -6.05456 & -0.995441 \tabularnewline
171 & 102.3 & 106.045 & 103.762 & 2.28296 & -3.74546 \tabularnewline
172 & 105.3 & 102.298 & 104.092 & -1.79413 & 3.00246 \tabularnewline
173 & 101.9 & 101.626 & 104.183 & -2.55767 & 0.274335 \tabularnewline
174 & 102.2 & 103.863 & 104.425 & -0.562095 & -1.6629 \tabularnewline
175 & 102.8 & 100.288 & 104.683 & -4.39524 & 2.51191 \tabularnewline
176 & 100.4 & 102.832 & 104.862 & -2.03029 & -2.43221 \tabularnewline
177 & 110.7 & 108.153 & 105.313 & 2.84078 & 2.54672 \tabularnewline
178 & 116.4 & 113.812 & 105.708 & 8.10328 & 2.58838 \tabularnewline
179 & 106 & 109.151 & 105.762 & 3.38882 & -3.15132 \tabularnewline
180 & 109.2 & 108.807 & 106.133 & 2.67338 & 0.393284 \tabularnewline
181 & 103 & 104.809 & 106.704 & -1.89524 & -1.80892 \tabularnewline
182 & 99.8 & 100.95 & 107.004 & -6.05456 & -1.14961 \tabularnewline
183 & 109.8 & 109.516 & 107.233 & 2.28296 & 0.28371 \tabularnewline
184 & 107.3 & 105.664 & 107.458 & -1.79413 & 1.63579 \tabularnewline
185 & 101.2 & 105.33 & 107.887 & -2.55767 & -4.12983 \tabularnewline
186 & 111.8 & 107.871 & 108.433 & -0.562095 & 3.92876 \tabularnewline
187 & 106.9 & 104.351 & 108.746 & -4.39524 & 2.54941 \tabularnewline
188 & 103.5 & 107.095 & 109.125 & -2.03029 & -3.59471 \tabularnewline
189 & 113.1 & 112.557 & 109.717 & 2.84078 & 0.542549 \tabularnewline
190 & 119.4 & 118.27 & 110.167 & 8.10328 & 1.13005 \tabularnewline
191 & 113.3 & 114.147 & 110.758 & 3.38882 & -0.847157 \tabularnewline
192 & 115 & 113.99 & 111.317 & 2.67338 & 1.00995 \tabularnewline
193 & 104.7 & 109.367 & 111.262 & -1.89524 & -4.66726 \tabularnewline
194 & 107.2 & 105.35 & 111.404 & -6.05456 & 1.85039 \tabularnewline
195 & 116.6 & 114.02 & 111.737 & 2.28296 & 2.57954 \tabularnewline
196 & 111.3 & 109.677 & 111.471 & -1.79413 & 1.62329 \tabularnewline
197 & 111.4 & 108.68 & 111.238 & -2.55767 & 2.72017 \tabularnewline
198 & 115 & 110.738 & 111.3 & -0.562095 & 4.2621 \tabularnewline
199 & 102.4 & 107.03 & 111.425 & -4.39524 & -4.62976 \tabularnewline
200 & 111.4 & 109.291 & 111.321 & -2.03029 & 2.10946 \tabularnewline
201 & 113.2 & 114.012 & 111.171 & 2.84078 & -0.811618 \tabularnewline
202 & 112.9 & 119.099 & 110.996 & 8.10328 & -6.19912 \tabularnewline
203 & 114.2 & 114.276 & 110.887 & 3.38882 & -0.0763238 \tabularnewline
204 & 115.6 & 113.603 & 110.929 & 2.67338 & 1.99745 \tabularnewline
205 & 107.1 & 108.976 & 110.871 & -1.89524 & -1.87559 \tabularnewline
206 & 102.3 & 104.87 & 110.925 & -6.05456 & -2.57044 \tabularnewline
207 & 117.9 & NA & NA & 2.28296 & NA \tabularnewline
208 & 105.8 & NA & NA & -1.79413 & NA \tabularnewline
209 & 114.3 & NA & NA & -2.55767 & NA \tabularnewline
210 & 113.1 & NA & NA & -0.562095 & NA \tabularnewline
211 & 102.9 & NA & NA & -4.39524 & NA \tabularnewline
212 & 112.2 & NA & NA & -2.03029 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308452&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]58.5[/C][C]NA[/C][C]NA[/C][C]-1.89524[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]59.8[/C][C]NA[/C][C]NA[/C][C]-6.05456[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]64.6[/C][C]NA[/C][C]NA[/C][C]2.28296[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]62.2[/C][C]NA[/C][C]NA[/C][C]-1.79413[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]68[/C][C]NA[/C][C]NA[/C][C]-2.55767[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]64.3[/C][C]NA[/C][C]NA[/C][C]-0.562095[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]58.9[/C][C]61.7298[/C][C]66.125[/C][C]-4.39524[/C][C]-2.82976[/C][/ROW]
[ROW][C]8[/C][C]64.8[/C][C]64.6405[/C][C]66.6708[/C][C]-2.03029[/C][C]0.159461[/C][/ROW]
[ROW][C]9[/C][C]67.5[/C][C]69.9991[/C][C]67.1583[/C][C]2.84078[/C][C]-2.49912[/C][/ROW]
[ROW][C]10[/C][C]76.2[/C][C]75.745[/C][C]67.6417[/C][C]8.10328[/C][C]0.455049[/C][/ROW]
[ROW][C]11[/C][C]73.7[/C][C]71.2763[/C][C]67.8875[/C][C]3.38882[/C][C]2.42368[/C][/ROW]
[ROW][C]12[/C][C]70.4[/C][C]70.9025[/C][C]68.2292[/C][C]2.67338[/C][C]-0.502549[/C][/ROW]
[ROW][C]13[/C][C]67.7[/C][C]66.9089[/C][C]68.8042[/C][C]-1.89524[/C][C]0.791078[/C][/ROW]
[ROW][C]14[/C][C]63.7[/C][C]63.3954[/C][C]69.45[/C][C]-6.05456[/C][C]0.304559[/C][/ROW]
[ROW][C]15[/C][C]72.4[/C][C]72.3288[/C][C]70.0458[/C][C]2.28296[/C][C]0.0712099[/C][/ROW]
[ROW][C]16[/C][C]66[/C][C]68.6392[/C][C]70.4333[/C][C]-1.79413[/C][C]-2.63921[/C][/ROW]
[ROW][C]17[/C][C]70.1[/C][C]68.0923[/C][C]70.65[/C][C]-2.55767[/C][C]2.00767[/C][/ROW]
[ROW][C]18[/C][C]70.4[/C][C]70.2671[/C][C]70.8292[/C][C]-0.562095[/C][C]0.132929[/C][/ROW]
[ROW][C]19[/C][C]66.6[/C][C]66.6756[/C][C]71.0708[/C][C]-4.39524[/C][C]-0.0755885[/C][/ROW]
[ROW][C]20[/C][C]72.6[/C][C]69.3489[/C][C]71.3792[/C][C]-2.03029[/C][C]3.25113[/C][/ROW]
[ROW][C]21[/C][C]74[/C][C]74.4241[/C][C]71.5833[/C][C]2.84078[/C][C]-0.424118[/C][/ROW]
[ROW][C]22[/C][C]79[/C][C]79.945[/C][C]71.8417[/C][C]8.10328[/C][C]-0.944951[/C][/ROW]
[ROW][C]23[/C][C]76.1[/C][C]75.4847[/C][C]72.0958[/C][C]3.38882[/C][C]0.615343[/C][/ROW]
[ROW][C]24[/C][C]72.3[/C][C]74.8234[/C][C]72.15[/C][C]2.67338[/C][C]-2.52338[/C][/ROW]
[ROW][C]25[/C][C]71.6[/C][C]70.4256[/C][C]72.3208[/C][C]-1.89524[/C][C]1.17441[/C][/ROW]
[ROW][C]26[/C][C]67.2[/C][C]66.3538[/C][C]72.4083[/C][C]-6.05456[/C][C]0.846225[/C][/ROW]
[ROW][C]27[/C][C]73.8[/C][C]74.6705[/C][C]72.3875[/C][C]2.28296[/C][C]-0.870457[/C][/ROW]
[ROW][C]28[/C][C]70.8[/C][C]70.785[/C][C]72.5792[/C][C]-1.79413[/C][C]0.0149599[/C][/ROW]
[ROW][C]29[/C][C]71.4[/C][C]70.0757[/C][C]72.6333[/C][C]-2.55767[/C][C]1.32433[/C][/ROW]
[ROW][C]30[/C][C]70.4[/C][C]72.1629[/C][C]72.725[/C][C]-0.562095[/C][C]-1.7629[/C][/ROW]
[ROW][C]31[/C][C]70.7[/C][C]68.6173[/C][C]73.0125[/C][C]-4.39524[/C][C]2.08274[/C][/ROW]
[ROW][C]32[/C][C]70.6[/C][C]71.2655[/C][C]73.2958[/C][C]-2.03029[/C][C]-0.665539[/C][/ROW]
[ROW][C]33[/C][C]75.5[/C][C]76.2783[/C][C]73.4375[/C][C]2.84078[/C][C]-0.778285[/C][/ROW]
[ROW][C]34[/C][C]82.1[/C][C]81.645[/C][C]73.5417[/C][C]8.10328[/C][C]0.455049[/C][/ROW]
[ROW][C]35[/C][C]74.3[/C][C]76.9555[/C][C]73.5667[/C][C]3.38882[/C][C]-2.65549[/C][/ROW]
[ROW][C]36[/C][C]76.3[/C][C]76.1692[/C][C]73.4958[/C][C]2.67338[/C][C]0.130784[/C][/ROW]
[ROW][C]37[/C][C]74.5[/C][C]71.6798[/C][C]73.575[/C][C]-1.89524[/C][C]2.82024[/C][/ROW]
[ROW][C]38[/C][C]71.1[/C][C]67.5038[/C][C]73.5583[/C][C]-6.05456[/C][C]3.59623[/C][/ROW]
[ROW][C]39[/C][C]73.3[/C][C]75.8496[/C][C]73.5667[/C][C]2.28296[/C][C]-2.54962[/C][/ROW]
[ROW][C]40[/C][C]73.8[/C][C]71.8767[/C][C]73.6708[/C][C]-1.79413[/C][C]1.92329[/C][/ROW]
[ROW][C]41[/C][C]69[/C][C]71.1298[/C][C]73.6875[/C][C]-2.55767[/C][C]-2.12983[/C][/ROW]
[ROW][C]42[/C][C]71.1[/C][C]73.1671[/C][C]73.7292[/C][C]-0.562095[/C][C]-2.06707[/C][/ROW]
[ROW][C]43[/C][C]71.9[/C][C]69.2964[/C][C]73.6917[/C][C]-4.39524[/C][C]2.60358[/C][/ROW]
[ROW][C]44[/C][C]69[/C][C]71.553[/C][C]73.5833[/C][C]-2.03029[/C][C]-2.55304[/C][/ROW]
[ROW][C]45[/C][C]77.3[/C][C]76.7283[/C][C]73.8875[/C][C]2.84078[/C][C]0.571715[/C][/ROW]
[ROW][C]46[/C][C]82.8[/C][C]82.42[/C][C]74.3167[/C][C]8.10328[/C][C]0.380049[/C][/ROW]
[ROW][C]47[/C][C]74[/C][C]77.9513[/C][C]74.5625[/C][C]3.38882[/C][C]-3.95132[/C][/ROW]
[ROW][C]48[/C][C]77.6[/C][C]77.7234[/C][C]75.05[/C][C]2.67338[/C][C]-0.123383[/C][/ROW]
[ROW][C]49[/C][C]72.3[/C][C]73.5631[/C][C]75.4583[/C][C]-1.89524[/C][C]-1.26309[/C][/ROW]
[ROW][C]50[/C][C]70.7[/C][C]69.6913[/C][C]75.7458[/C][C]-6.05456[/C][C]1.00873[/C][/ROW]
[ROW][C]51[/C][C]81[/C][C]78.483[/C][C]76.2[/C][C]2.28296[/C][C]2.51704[/C][/ROW]
[ROW][C]52[/C][C]76.4[/C][C]74.6725[/C][C]76.4667[/C][C]-1.79413[/C][C]1.72746[/C][/ROW]
[ROW][C]53[/C][C]72.3[/C][C]74.2673[/C][C]76.825[/C][C]-2.55767[/C][C]-1.96733[/C][/ROW]
[ROW][C]54[/C][C]79.5[/C][C]76.9087[/C][C]77.4708[/C][C]-0.562095[/C][C]2.59126[/C][/ROW]
[ROW][C]55[/C][C]73.3[/C][C]73.5881[/C][C]77.9833[/C][C]-4.39524[/C][C]-0.288088[/C][/ROW]
[ROW][C]56[/C][C]74.5[/C][C]76.1822[/C][C]78.2125[/C][C]-2.03029[/C][C]-1.68221[/C][/ROW]
[ROW][C]57[/C][C]82.7[/C][C]81.0658[/C][C]78.225[/C][C]2.84078[/C][C]1.63422[/C][/ROW]
[ROW][C]58[/C][C]83.8[/C][C]86.3116[/C][C]78.2083[/C][C]8.10328[/C][C]-2.51162[/C][/ROW]
[ROW][C]59[/C][C]81.6[/C][C]81.7722[/C][C]78.3833[/C][C]3.38882[/C][C]-0.172157[/C][/ROW]
[ROW][C]60[/C][C]85.5[/C][C]81.265[/C][C]78.5917[/C][C]2.67338[/C][C]4.23495[/C][/ROW]
[ROW][C]61[/C][C]76.7[/C][C]76.6631[/C][C]78.5583[/C][C]-1.89524[/C][C]0.0369115[/C][/ROW]
[ROW][C]62[/C][C]71.8[/C][C]72.6871[/C][C]78.7417[/C][C]-6.05456[/C][C]-0.887108[/C][/ROW]
[ROW][C]63[/C][C]80.2[/C][C]81.3871[/C][C]79.1042[/C][C]2.28296[/C][C]-1.18712[/C][/ROW]
[ROW][C]64[/C][C]76.8[/C][C]77.435[/C][C]79.2292[/C][C]-1.79413[/C][C]-0.63504[/C][/ROW]
[ROW][C]65[/C][C]76.1[/C][C]76.9548[/C][C]79.5125[/C][C]-2.55767[/C][C]-0.854832[/C][/ROW]
[ROW][C]66[/C][C]80.7[/C][C]79.2962[/C][C]79.8583[/C][C]-0.562095[/C][C]1.40376[/C][/ROW]
[ROW][C]67[/C][C]71.3[/C][C]75.7006[/C][C]80.0958[/C][C]-4.39524[/C][C]-4.40059[/C][/ROW]
[ROW][C]68[/C][C]80.9[/C][C]78.3197[/C][C]80.35[/C][C]-2.03029[/C][C]2.58029[/C][/ROW]
[ROW][C]69[/C][C]85[/C][C]83.5325[/C][C]80.6917[/C][C]2.84078[/C][C]1.46755[/C][/ROW]
[ROW][C]70[/C][C]84.5[/C][C]89.0366[/C][C]80.9333[/C][C]8.10328[/C][C]-4.53662[/C][/ROW]
[ROW][C]71[/C][C]87.7[/C][C]84.6805[/C][C]81.2917[/C][C]3.38882[/C][C]3.01951[/C][/ROW]
[ROW][C]72[/C][C]87.7[/C][C]84.4359[/C][C]81.7625[/C][C]2.67338[/C][C]3.26412[/C][/ROW]
[ROW][C]73[/C][C]80.2[/C][C]80.2548[/C][C]82.15[/C][C]-1.89524[/C][C]-0.0547552[/C][/ROW]
[ROW][C]74[/C][C]74.4[/C][C]76.5621[/C][C]82.6167[/C][C]-6.05456[/C][C]-2.16211[/C][/ROW]
[ROW][C]75[/C][C]85.8[/C][C]85.2205[/C][C]82.9375[/C][C]2.28296[/C][C]0.579543[/C][/ROW]
[ROW][C]76[/C][C]77[/C][C]81.6475[/C][C]83.4417[/C][C]-1.79413[/C][C]-4.64754[/C][/ROW]
[ROW][C]77[/C][C]84.5[/C][C]81.459[/C][C]84.0167[/C][C]-2.55767[/C][C]3.041[/C][/ROW]
[ROW][C]78[/C][C]83.6[/C][C]83.6171[/C][C]84.1792[/C][C]-0.562095[/C][C]-0.0170713[/C][/ROW]
[ROW][C]79[/C][C]77.7[/C][C]80.1256[/C][C]84.5208[/C][C]-4.39524[/C][C]-2.42559[/C][/ROW]
[ROW][C]80[/C][C]85.7[/C][C]83.1489[/C][C]85.1792[/C][C]-2.03029[/C][C]2.55113[/C][/ROW]
[ROW][C]81[/C][C]87.9[/C][C]88.595[/C][C]85.7542[/C][C]2.84078[/C][C]-0.694951[/C][/ROW]
[ROW][C]82[/C][C]93.7[/C][C]94.4325[/C][C]86.3292[/C][C]8.10328[/C][C]-0.732451[/C][/ROW]
[ROW][C]83[/C][C]92.3[/C][C]90.1222[/C][C]86.7333[/C][C]3.38882[/C][C]2.17784[/C][/ROW]
[ROW][C]84[/C][C]87[/C][C]89.7525[/C][C]87.0792[/C][C]2.67338[/C][C]-2.75255[/C][/ROW]
[ROW][C]85[/C][C]89.1[/C][C]85.7964[/C][C]87.6917[/C][C]-1.89524[/C][C]3.30358[/C][/ROW]
[ROW][C]86[/C][C]81.3[/C][C]82.2704[/C][C]88.325[/C][C]-6.05456[/C][C]-0.970441[/C][/ROW]
[ROW][C]87[/C][C]92.7[/C][C]91.0705[/C][C]88.7875[/C][C]2.28296[/C][C]1.62954[/C][/ROW]
[ROW][C]88[/C][C]83.9[/C][C]87.6892[/C][C]89.4833[/C][C]-1.79413[/C][C]-3.78921[/C][/ROW]
[ROW][C]89[/C][C]87.3[/C][C]87.7965[/C][C]90.3542[/C][C]-2.55767[/C][C]-0.496498[/C][/ROW]
[ROW][C]90[/C][C]89.1[/C][C]90.4796[/C][C]91.0417[/C][C]-0.562095[/C][C]-1.37957[/C][/ROW]
[ROW][C]91[/C][C]86.9[/C][C]87.4214[/C][C]91.8167[/C][C]-4.39524[/C][C]-0.521422[/C][/ROW]
[ROW][C]92[/C][C]91.7[/C][C]90.8655[/C][C]92.8958[/C][C]-2.03029[/C][C]0.834461[/C][/ROW]
[ROW][C]93[/C][C]93[/C][C]96.47[/C][C]93.6292[/C][C]2.84078[/C][C]-3.46995[/C][/ROW]
[ROW][C]94[/C][C]105.3[/C][C]102.62[/C][C]94.5167[/C][C]8.10328[/C][C]2.68005[/C][/ROW]
[ROW][C]95[/C][C]101.6[/C][C]99.0263[/C][C]95.6375[/C][C]3.38882[/C][C]2.57368[/C][/ROW]
[ROW][C]96[/C][C]94.2[/C][C]98.9942[/C][C]96.3208[/C][C]2.67338[/C][C]-4.79422[/C][/ROW]
[ROW][C]97[/C][C]100.5[/C][C]95.2464[/C][C]97.1417[/C][C]-1.89524[/C][C]5.25358[/C][/ROW]
[ROW][C]98[/C][C]95.8[/C][C]91.6579[/C][C]97.7125[/C][C]-6.05456[/C][C]4.14206[/C][/ROW]
[ROW][C]99[/C][C]95.8[/C][C]100.587[/C][C]98.3042[/C][C]2.28296[/C][C]-4.78712[/C][/ROW]
[ROW][C]100[/C][C]102.1[/C][C]97.2642[/C][C]99.0583[/C][C]-1.79413[/C][C]4.83579[/C][/ROW]
[ROW][C]101[/C][C]96[/C][C]96.609[/C][C]99.1667[/C][C]-2.55767[/C][C]-0.608998[/C][/ROW]
[ROW][C]102[/C][C]96.8[/C][C]98.8296[/C][C]99.3917[/C][C]-0.562095[/C][C]-2.02957[/C][/ROW]
[ROW][C]103[/C][C]98.9[/C][C]95.0548[/C][C]99.45[/C][C]-4.39524[/C][C]3.84524[/C][/ROW]
[ROW][C]104[/C][C]93.4[/C][C]96.9197[/C][C]98.95[/C][C]-2.03029[/C][C]-3.51971[/C][/ROW]
[ROW][C]105[/C][C]105.5[/C][C]101.745[/C][C]98.9042[/C][C]2.84078[/C][C]3.75505[/C][/ROW]
[ROW][C]106[/C][C]110.9[/C][C]106.991[/C][C]98.8875[/C][C]8.10328[/C][C]3.90922[/C][/ROW]
[ROW][C]107[/C][C]98.6[/C][C]101.893[/C][C]98.5042[/C][C]3.38882[/C][C]-3.29299[/C][/ROW]
[ROW][C]108[/C][C]102.6[/C][C]101.028[/C][C]98.3542[/C][C]2.67338[/C][C]1.57245[/C][/ROW]
[ROW][C]109[/C][C]93.5[/C][C]96.3923[/C][C]98.2875[/C][C]-1.89524[/C][C]-2.89226[/C][/ROW]
[ROW][C]110[/C][C]90.8[/C][C]92.1163[/C][C]98.1708[/C][C]-6.05456[/C][C]-1.31627[/C][/ROW]
[ROW][C]111[/C][C]99.7[/C][C]100.279[/C][C]97.9958[/C][C]2.28296[/C][C]-0.57879[/C][/ROW]
[ROW][C]112[/C][C]97.8[/C][C]95.785[/C][C]97.5792[/C][C]-1.79413[/C][C]2.01496[/C][/ROW]
[ROW][C]113[/C][C]91.1[/C][C]94.7965[/C][C]97.3542[/C][C]-2.55767[/C][C]-3.6965[/C][/ROW]
[ROW][C]114[/C][C]98.1[/C][C]96.7504[/C][C]97.3125[/C][C]-0.562095[/C][C]1.3496[/C][/ROW]
[ROW][C]115[/C][C]96[/C][C]92.8048[/C][C]97.2[/C][C]-4.39524[/C][C]3.19524[/C][/ROW]
[ROW][C]116[/C][C]93.5[/C][C]95.103[/C][C]97.1333[/C][C]-2.03029[/C][C]-1.60304[/C][/ROW]
[ROW][C]117[/C][C]101.2[/C][C]100.203[/C][C]97.3625[/C][C]2.84078[/C][C]0.996715[/C][/ROW]
[ROW][C]118[/C][C]105.2[/C][C]105.728[/C][C]97.625[/C][C]8.10328[/C][C]-0.528285[/C][/ROW]
[ROW][C]119[/C][C]98.9[/C][C]101.105[/C][C]97.7167[/C][C]3.38882[/C][C]-2.20549[/C][/ROW]
[ROW][C]120[/C][C]101.3[/C][C]100.586[/C][C]97.9125[/C][C]2.67338[/C][C]0.714117[/C][/ROW]
[ROW][C]121[/C][C]92.1[/C][C]96.0381[/C][C]97.9333[/C][C]-1.89524[/C][C]-3.93809[/C][/ROW]
[ROW][C]122[/C][C]90.6[/C][C]91.9704[/C][C]98.025[/C][C]-6.05456[/C][C]-1.37044[/C][/ROW]
[ROW][C]123[/C][C]105.4[/C][C]100.637[/C][C]98.3542[/C][C]2.28296[/C][C]4.76288[/C][/ROW]
[ROW][C]124[/C][C]98.4[/C][C]96.7642[/C][C]98.5583[/C][C]-1.79413[/C][C]1.63579[/C][/ROW]
[ROW][C]125[/C][C]92.7[/C][C]96.4423[/C][C]99[/C][C]-2.55767[/C][C]-3.74233[/C][/ROW]
[ROW][C]126[/C][C]101.2[/C][C]99.1212[/C][C]99.6833[/C][C]-0.562095[/C][C]2.07876[/C][/ROW]
[ROW][C]127[/C][C]93.4[/C][C]95.9173[/C][C]100.312[/C][C]-4.39524[/C][C]-2.51726[/C][/ROW]
[ROW][C]128[/C][C]98.3[/C][C]98.8239[/C][C]100.854[/C][C]-2.03029[/C][C]-0.523873[/C][/ROW]
[ROW][C]129[/C][C]104.3[/C][C]104.074[/C][C]101.233[/C][C]2.84078[/C][C]0.225882[/C][/ROW]
[ROW][C]130[/C][C]107[/C][C]109.532[/C][C]101.429[/C][C]8.10328[/C][C]-2.53245[/C][/ROW]
[ROW][C]131[/C][C]107.7[/C][C]105.36[/C][C]101.971[/C][C]3.38882[/C][C]2.34034[/C][/ROW]
[ROW][C]132[/C][C]108.9[/C][C]105.086[/C][C]102.412[/C][C]2.67338[/C][C]3.81412[/C][/ROW]
[ROW][C]133[/C][C]99.6[/C][C]100.492[/C][C]102.387[/C][C]-1.89524[/C][C]-0.892255[/C][/ROW]
[ROW][C]134[/C][C]96.1[/C][C]96.6538[/C][C]102.708[/C][C]-6.05456[/C][C]-0.553775[/C][/ROW]
[ROW][C]135[/C][C]109[/C][C]105.537[/C][C]103.254[/C][C]2.28296[/C][C]3.46288[/C][/ROW]
[ROW][C]136[/C][C]99.5[/C][C]101.86[/C][C]103.654[/C][C]-1.79413[/C][C]-2.36004[/C][/ROW]
[ROW][C]137[/C][C]104.6[/C][C]101.338[/C][C]103.896[/C][C]-2.55767[/C][C]3.26183[/C][/ROW]
[ROW][C]138[/C][C]99.9[/C][C]103.413[/C][C]103.975[/C][C]-0.562095[/C][C]-3.5129[/C][/ROW]
[ROW][C]139[/C][C]94.1[/C][C]99.7589[/C][C]104.154[/C][C]-4.39524[/C][C]-5.65892[/C][/ROW]
[ROW][C]140[/C][C]105.3[/C][C]102.532[/C][C]104.562[/C][C]-2.03029[/C][C]2.76779[/C][/ROW]
[ROW][C]141[/C][C]110.4[/C][C]107.624[/C][C]104.783[/C][C]2.84078[/C][C]2.77588[/C][/ROW]
[ROW][C]142[/C][C]110.5[/C][C]112.899[/C][C]104.796[/C][C]8.10328[/C][C]-2.39912[/C][/ROW]
[ROW][C]143[/C][C]110[/C][C]108.23[/C][C]104.842[/C][C]3.38882[/C][C]1.76951[/C][/ROW]
[ROW][C]144[/C][C]108.5[/C][C]107.819[/C][C]105.146[/C][C]2.67338[/C][C]0.680784[/C][/ROW]
[ROW][C]145[/C][C]104.3[/C][C]103.851[/C][C]105.746[/C][C]-1.89524[/C][C]0.449412[/C][/ROW]
[ROW][C]146[/C][C]101.2[/C][C]100.12[/C][C]106.175[/C][C]-6.05456[/C][C]1.07956[/C][/ROW]
[ROW][C]147[/C][C]109.2[/C][C]108.358[/C][C]106.075[/C][C]2.28296[/C][C]0.842043[/C][/ROW]
[ROW][C]148[/C][C]99.6[/C][C]104.506[/C][C]106.3[/C][C]-1.79413[/C][C]-4.90587[/C][/ROW]
[ROW][C]149[/C][C]105.6[/C][C]104.292[/C][C]106.85[/C][C]-2.55767[/C][C]1.30767[/C][/ROW]
[ROW][C]150[/C][C]106.2[/C][C]106.246[/C][C]106.808[/C][C]-0.562095[/C][C]-0.046238[/C][/ROW]
[ROW][C]151[/C][C]102.2[/C][C]102.38[/C][C]106.775[/C][C]-4.39524[/C][C]-0.179755[/C][/ROW]
[ROW][C]152[/C][C]107.5[/C][C]104.803[/C][C]106.833[/C][C]-2.03029[/C][C]2.69696[/C][/ROW]
[ROW][C]153[/C][C]105.8[/C][C]109.42[/C][C]106.579[/C][C]2.84078[/C][C]-3.61995[/C][/ROW]
[ROW][C]154[/C][C]120.5[/C][C]114.707[/C][C]106.604[/C][C]8.10328[/C][C]5.79255[/C][/ROW]
[ROW][C]155[/C][C]113.2[/C][C]110.21[/C][C]106.821[/C][C]3.38882[/C][C]2.99034[/C][/ROW]
[ROW][C]156[/C][C]104.3[/C][C]109.29[/C][C]106.617[/C][C]2.67338[/C][C]-4.99005[/C][/ROW]
[ROW][C]157[/C][C]107.7[/C][C]104.684[/C][C]106.579[/C][C]-1.89524[/C][C]3.01608[/C][/ROW]
[ROW][C]158[/C][C]99.2[/C][C]100.466[/C][C]106.521[/C][C]-6.05456[/C][C]-1.26627[/C][/ROW]
[ROW][C]159[/C][C]105.1[/C][C]108.5[/C][C]106.217[/C][C]2.28296[/C][C]-3.39962[/C][/ROW]
[ROW][C]160[/C][C]104.3[/C][C]104.127[/C][C]105.921[/C][C]-1.79413[/C][C]0.173293[/C][/ROW]
[ROW][C]161[/C][C]106.1[/C][C]102.801[/C][C]105.358[/C][C]-2.55767[/C][C]3.29933[/C][/ROW]
[ROW][C]162[/C][C]100.8[/C][C]104.459[/C][C]105.021[/C][C]-0.562095[/C][C]-3.65874[/C][/ROW]
[ROW][C]163[/C][C]106.7[/C][C]100.376[/C][C]104.771[/C][C]-4.39524[/C][C]6.32441[/C][/ROW]
[ROW][C]164[/C][C]101.6[/C][C]102.391[/C][C]104.421[/C][C]-2.03029[/C][C]-0.790539[/C][/ROW]
[ROW][C]165[/C][C]104.4[/C][C]107.032[/C][C]104.192[/C][C]2.84078[/C][C]-2.63245[/C][/ROW]
[ROW][C]166[/C][C]114.8[/C][C]112.22[/C][C]104.117[/C][C]8.10328[/C][C]2.58005[/C][/ROW]
[ROW][C]167[/C][C]105.4[/C][C]107.372[/C][C]103.983[/C][C]3.38882[/C][C]-1.97216[/C][/ROW]
[ROW][C]168[/C][C]104[/C][C]106.54[/C][C]103.867[/C][C]2.67338[/C][C]-2.54005[/C][/ROW]
[ROW][C]169[/C][C]102[/C][C]101.867[/C][C]103.762[/C][C]-1.89524[/C][C]0.132745[/C][/ROW]
[ROW][C]170[/C][C]96.5[/C][C]97.4954[/C][C]103.55[/C][C]-6.05456[/C][C]-0.995441[/C][/ROW]
[ROW][C]171[/C][C]102.3[/C][C]106.045[/C][C]103.762[/C][C]2.28296[/C][C]-3.74546[/C][/ROW]
[ROW][C]172[/C][C]105.3[/C][C]102.298[/C][C]104.092[/C][C]-1.79413[/C][C]3.00246[/C][/ROW]
[ROW][C]173[/C][C]101.9[/C][C]101.626[/C][C]104.183[/C][C]-2.55767[/C][C]0.274335[/C][/ROW]
[ROW][C]174[/C][C]102.2[/C][C]103.863[/C][C]104.425[/C][C]-0.562095[/C][C]-1.6629[/C][/ROW]
[ROW][C]175[/C][C]102.8[/C][C]100.288[/C][C]104.683[/C][C]-4.39524[/C][C]2.51191[/C][/ROW]
[ROW][C]176[/C][C]100.4[/C][C]102.832[/C][C]104.862[/C][C]-2.03029[/C][C]-2.43221[/C][/ROW]
[ROW][C]177[/C][C]110.7[/C][C]108.153[/C][C]105.313[/C][C]2.84078[/C][C]2.54672[/C][/ROW]
[ROW][C]178[/C][C]116.4[/C][C]113.812[/C][C]105.708[/C][C]8.10328[/C][C]2.58838[/C][/ROW]
[ROW][C]179[/C][C]106[/C][C]109.151[/C][C]105.762[/C][C]3.38882[/C][C]-3.15132[/C][/ROW]
[ROW][C]180[/C][C]109.2[/C][C]108.807[/C][C]106.133[/C][C]2.67338[/C][C]0.393284[/C][/ROW]
[ROW][C]181[/C][C]103[/C][C]104.809[/C][C]106.704[/C][C]-1.89524[/C][C]-1.80892[/C][/ROW]
[ROW][C]182[/C][C]99.8[/C][C]100.95[/C][C]107.004[/C][C]-6.05456[/C][C]-1.14961[/C][/ROW]
[ROW][C]183[/C][C]109.8[/C][C]109.516[/C][C]107.233[/C][C]2.28296[/C][C]0.28371[/C][/ROW]
[ROW][C]184[/C][C]107.3[/C][C]105.664[/C][C]107.458[/C][C]-1.79413[/C][C]1.63579[/C][/ROW]
[ROW][C]185[/C][C]101.2[/C][C]105.33[/C][C]107.887[/C][C]-2.55767[/C][C]-4.12983[/C][/ROW]
[ROW][C]186[/C][C]111.8[/C][C]107.871[/C][C]108.433[/C][C]-0.562095[/C][C]3.92876[/C][/ROW]
[ROW][C]187[/C][C]106.9[/C][C]104.351[/C][C]108.746[/C][C]-4.39524[/C][C]2.54941[/C][/ROW]
[ROW][C]188[/C][C]103.5[/C][C]107.095[/C][C]109.125[/C][C]-2.03029[/C][C]-3.59471[/C][/ROW]
[ROW][C]189[/C][C]113.1[/C][C]112.557[/C][C]109.717[/C][C]2.84078[/C][C]0.542549[/C][/ROW]
[ROW][C]190[/C][C]119.4[/C][C]118.27[/C][C]110.167[/C][C]8.10328[/C][C]1.13005[/C][/ROW]
[ROW][C]191[/C][C]113.3[/C][C]114.147[/C][C]110.758[/C][C]3.38882[/C][C]-0.847157[/C][/ROW]
[ROW][C]192[/C][C]115[/C][C]113.99[/C][C]111.317[/C][C]2.67338[/C][C]1.00995[/C][/ROW]
[ROW][C]193[/C][C]104.7[/C][C]109.367[/C][C]111.262[/C][C]-1.89524[/C][C]-4.66726[/C][/ROW]
[ROW][C]194[/C][C]107.2[/C][C]105.35[/C][C]111.404[/C][C]-6.05456[/C][C]1.85039[/C][/ROW]
[ROW][C]195[/C][C]116.6[/C][C]114.02[/C][C]111.737[/C][C]2.28296[/C][C]2.57954[/C][/ROW]
[ROW][C]196[/C][C]111.3[/C][C]109.677[/C][C]111.471[/C][C]-1.79413[/C][C]1.62329[/C][/ROW]
[ROW][C]197[/C][C]111.4[/C][C]108.68[/C][C]111.238[/C][C]-2.55767[/C][C]2.72017[/C][/ROW]
[ROW][C]198[/C][C]115[/C][C]110.738[/C][C]111.3[/C][C]-0.562095[/C][C]4.2621[/C][/ROW]
[ROW][C]199[/C][C]102.4[/C][C]107.03[/C][C]111.425[/C][C]-4.39524[/C][C]-4.62976[/C][/ROW]
[ROW][C]200[/C][C]111.4[/C][C]109.291[/C][C]111.321[/C][C]-2.03029[/C][C]2.10946[/C][/ROW]
[ROW][C]201[/C][C]113.2[/C][C]114.012[/C][C]111.171[/C][C]2.84078[/C][C]-0.811618[/C][/ROW]
[ROW][C]202[/C][C]112.9[/C][C]119.099[/C][C]110.996[/C][C]8.10328[/C][C]-6.19912[/C][/ROW]
[ROW][C]203[/C][C]114.2[/C][C]114.276[/C][C]110.887[/C][C]3.38882[/C][C]-0.0763238[/C][/ROW]
[ROW][C]204[/C][C]115.6[/C][C]113.603[/C][C]110.929[/C][C]2.67338[/C][C]1.99745[/C][/ROW]
[ROW][C]205[/C][C]107.1[/C][C]108.976[/C][C]110.871[/C][C]-1.89524[/C][C]-1.87559[/C][/ROW]
[ROW][C]206[/C][C]102.3[/C][C]104.87[/C][C]110.925[/C][C]-6.05456[/C][C]-2.57044[/C][/ROW]
[ROW][C]207[/C][C]117.9[/C][C]NA[/C][C]NA[/C][C]2.28296[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]105.8[/C][C]NA[/C][C]NA[/C][C]-1.79413[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]114.3[/C][C]NA[/C][C]NA[/C][C]-2.55767[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]113.1[/C][C]NA[/C][C]NA[/C][C]-0.562095[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]102.9[/C][C]NA[/C][C]NA[/C][C]-4.39524[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]112.2[/C][C]NA[/C][C]NA[/C][C]-2.03029[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308452&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308452&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
158.5NANA-1.89524NA
259.8NANA-6.05456NA
364.6NANA2.28296NA
462.2NANA-1.79413NA
568NANA-2.55767NA
664.3NANA-0.562095NA
758.961.729866.125-4.39524-2.82976
864.864.640566.6708-2.030290.159461
967.569.999167.15832.84078-2.49912
1076.275.74567.64178.103280.455049
1173.771.276367.88753.388822.42368
1270.470.902568.22922.67338-0.502549
1367.766.908968.8042-1.895240.791078
1463.763.395469.45-6.054560.304559
1572.472.328870.04582.282960.0712099
166668.639270.4333-1.79413-2.63921
1770.168.092370.65-2.557672.00767
1870.470.267170.8292-0.5620950.132929
1966.666.675671.0708-4.39524-0.0755885
2072.669.348971.3792-2.030293.25113
217474.424171.58332.84078-0.424118
227979.94571.84178.10328-0.944951
2376.175.484772.09583.388820.615343
2472.374.823472.152.67338-2.52338
2571.670.425672.3208-1.895241.17441
2667.266.353872.4083-6.054560.846225
2773.874.670572.38752.28296-0.870457
2870.870.78572.5792-1.794130.0149599
2971.470.075772.6333-2.557671.32433
3070.472.162972.725-0.562095-1.7629
3170.768.617373.0125-4.395242.08274
3270.671.265573.2958-2.03029-0.665539
3375.576.278373.43752.84078-0.778285
3482.181.64573.54178.103280.455049
3574.376.955573.56673.38882-2.65549
3676.376.169273.49582.673380.130784
3774.571.679873.575-1.895242.82024
3871.167.503873.5583-6.054563.59623
3973.375.849673.56672.28296-2.54962
4073.871.876773.6708-1.794131.92329
416971.129873.6875-2.55767-2.12983
4271.173.167173.7292-0.562095-2.06707
4371.969.296473.6917-4.395242.60358
446971.55373.5833-2.03029-2.55304
4577.376.728373.88752.840780.571715
4682.882.4274.31678.103280.380049
477477.951374.56253.38882-3.95132
4877.677.723475.052.67338-0.123383
4972.373.563175.4583-1.89524-1.26309
5070.769.691375.7458-6.054561.00873
518178.48376.22.282962.51704
5276.474.672576.4667-1.794131.72746
5372.374.267376.825-2.55767-1.96733
5479.576.908777.4708-0.5620952.59126
5573.373.588177.9833-4.39524-0.288088
5674.576.182278.2125-2.03029-1.68221
5782.781.065878.2252.840781.63422
5883.886.311678.20838.10328-2.51162
5981.681.772278.38333.38882-0.172157
6085.581.26578.59172.673384.23495
6176.776.663178.5583-1.895240.0369115
6271.872.687178.7417-6.05456-0.887108
6380.281.387179.10422.28296-1.18712
6476.877.43579.2292-1.79413-0.63504
6576.176.954879.5125-2.55767-0.854832
6680.779.296279.8583-0.5620951.40376
6771.375.700680.0958-4.39524-4.40059
6880.978.319780.35-2.030292.58029
698583.532580.69172.840781.46755
7084.589.036680.93338.10328-4.53662
7187.784.680581.29173.388823.01951
7287.784.435981.76252.673383.26412
7380.280.254882.15-1.89524-0.0547552
7474.476.562182.6167-6.05456-2.16211
7585.885.220582.93752.282960.579543
767781.647583.4417-1.79413-4.64754
7784.581.45984.0167-2.557673.041
7883.683.617184.1792-0.562095-0.0170713
7977.780.125684.5208-4.39524-2.42559
8085.783.148985.1792-2.030292.55113
8187.988.59585.75422.84078-0.694951
8293.794.432586.32928.10328-0.732451
8392.390.122286.73333.388822.17784
848789.752587.07922.67338-2.75255
8589.185.796487.6917-1.895243.30358
8681.382.270488.325-6.05456-0.970441
8792.791.070588.78752.282961.62954
8883.987.689289.4833-1.79413-3.78921
8987.387.796590.3542-2.55767-0.496498
9089.190.479691.0417-0.562095-1.37957
9186.987.421491.8167-4.39524-0.521422
9291.790.865592.8958-2.030290.834461
939396.4793.62922.84078-3.46995
94105.3102.6294.51678.103282.68005
95101.699.026395.63753.388822.57368
9694.298.994296.32082.67338-4.79422
97100.595.246497.1417-1.895245.25358
9895.891.657997.7125-6.054564.14206
9995.8100.58798.30422.28296-4.78712
100102.197.264299.0583-1.794134.83579
1019696.60999.1667-2.55767-0.608998
10296.898.829699.3917-0.562095-2.02957
10398.995.054899.45-4.395243.84524
10493.496.919798.95-2.03029-3.51971
105105.5101.74598.90422.840783.75505
106110.9106.99198.88758.103283.90922
10798.6101.89398.50423.38882-3.29299
108102.6101.02898.35422.673381.57245
10993.596.392398.2875-1.89524-2.89226
11090.892.116398.1708-6.05456-1.31627
11199.7100.27997.99582.28296-0.57879
11297.895.78597.5792-1.794132.01496
11391.194.796597.3542-2.55767-3.6965
11498.196.750497.3125-0.5620951.3496
1159692.804897.2-4.395243.19524
11693.595.10397.1333-2.03029-1.60304
117101.2100.20397.36252.840780.996715
118105.2105.72897.6258.10328-0.528285
11998.9101.10597.71673.38882-2.20549
120101.3100.58697.91252.673380.714117
12192.196.038197.9333-1.89524-3.93809
12290.691.970498.025-6.05456-1.37044
123105.4100.63798.35422.282964.76288
12498.496.764298.5583-1.794131.63579
12592.796.442399-2.55767-3.74233
126101.299.121299.6833-0.5620952.07876
12793.495.9173100.312-4.39524-2.51726
12898.398.8239100.854-2.03029-0.523873
129104.3104.074101.2332.840780.225882
130107109.532101.4298.10328-2.53245
131107.7105.36101.9713.388822.34034
132108.9105.086102.4122.673383.81412
13399.6100.492102.387-1.89524-0.892255
13496.196.6538102.708-6.05456-0.553775
135109105.537103.2542.282963.46288
13699.5101.86103.654-1.79413-2.36004
137104.6101.338103.896-2.557673.26183
13899.9103.413103.975-0.562095-3.5129
13994.199.7589104.154-4.39524-5.65892
140105.3102.532104.562-2.030292.76779
141110.4107.624104.7832.840782.77588
142110.5112.899104.7968.10328-2.39912
143110108.23104.8423.388821.76951
144108.5107.819105.1462.673380.680784
145104.3103.851105.746-1.895240.449412
146101.2100.12106.175-6.054561.07956
147109.2108.358106.0752.282960.842043
14899.6104.506106.3-1.79413-4.90587
149105.6104.292106.85-2.557671.30767
150106.2106.246106.808-0.562095-0.046238
151102.2102.38106.775-4.39524-0.179755
152107.5104.803106.833-2.030292.69696
153105.8109.42106.5792.84078-3.61995
154120.5114.707106.6048.103285.79255
155113.2110.21106.8213.388822.99034
156104.3109.29106.6172.67338-4.99005
157107.7104.684106.579-1.895243.01608
15899.2100.466106.521-6.05456-1.26627
159105.1108.5106.2172.28296-3.39962
160104.3104.127105.921-1.794130.173293
161106.1102.801105.358-2.557673.29933
162100.8104.459105.021-0.562095-3.65874
163106.7100.376104.771-4.395246.32441
164101.6102.391104.421-2.03029-0.790539
165104.4107.032104.1922.84078-2.63245
166114.8112.22104.1178.103282.58005
167105.4107.372103.9833.38882-1.97216
168104106.54103.8672.67338-2.54005
169102101.867103.762-1.895240.132745
17096.597.4954103.55-6.05456-0.995441
171102.3106.045103.7622.28296-3.74546
172105.3102.298104.092-1.794133.00246
173101.9101.626104.183-2.557670.274335
174102.2103.863104.425-0.562095-1.6629
175102.8100.288104.683-4.395242.51191
176100.4102.832104.862-2.03029-2.43221
177110.7108.153105.3132.840782.54672
178116.4113.812105.7088.103282.58838
179106109.151105.7623.38882-3.15132
180109.2108.807106.1332.673380.393284
181103104.809106.704-1.89524-1.80892
18299.8100.95107.004-6.05456-1.14961
183109.8109.516107.2332.282960.28371
184107.3105.664107.458-1.794131.63579
185101.2105.33107.887-2.55767-4.12983
186111.8107.871108.433-0.5620953.92876
187106.9104.351108.746-4.395242.54941
188103.5107.095109.125-2.03029-3.59471
189113.1112.557109.7172.840780.542549
190119.4118.27110.1678.103281.13005
191113.3114.147110.7583.38882-0.847157
192115113.99111.3172.673381.00995
193104.7109.367111.262-1.89524-4.66726
194107.2105.35111.404-6.054561.85039
195116.6114.02111.7372.282962.57954
196111.3109.677111.471-1.794131.62329
197111.4108.68111.238-2.557672.72017
198115110.738111.3-0.5620954.2621
199102.4107.03111.425-4.39524-4.62976
200111.4109.291111.321-2.030292.10946
201113.2114.012111.1712.84078-0.811618
202112.9119.099110.9968.10328-6.19912
203114.2114.276110.8873.38882-0.0763238
204115.6113.603110.9292.673381.99745
205107.1108.976110.871-1.89524-1.87559
206102.3104.87110.925-6.05456-2.57044
207117.9NANA2.28296NA
208105.8NANA-1.79413NA
209114.3NANA-2.55767NA
210113.1NANA-0.562095NA
211102.9NANA-4.39524NA
212112.2NANA-2.03029NA



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