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Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationTue, 19 Dec 2017 17:52:24 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/19/t1513702398grjgwb04ggy7aw4.htm/, Retrieved Wed, 15 May 2024 02:40:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310374, Retrieved Wed, 15 May 2024 02:40:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [z] [2017-12-19 16:52:24] [341fa61cadd50fad972999b365b6b694] [Current]
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Dataseries X:
57,7
60,1
66,5
63,4
71,4
68,5
61,6
68,3
69,3
76,1
73,3
69,7
67,4
63,7
73
67,5
74,4
72,9
71,7
75,6
72,5
80
75,4
71
70,6
67,5
74,1
73,2
74
73
74
73
76
81,7
73,5
77
73,6
70,4
74,7
76,8
72,7
76
77,5
73,6
78,5
84,3
74,4
78,5
72,7
71,3
84,4
79,1
76,2
84,9
77,1
78,7
84,7
83,7
82,5
85,2
76
72,2
83,2
80,2
81,1
86
76
83,9
87,9
85
88,1
87,4
79,5
75,2
87,3
79,5
87,6
89,1
83
88,3
88,9
93,9
91,7
87,2
87,8
81
93,7
87,5
91,4
93,8
89,5
93,3
92,8
104,1
99,9
93,4
99
93,2
95,7
102,6
98,8
98
101,5
94,9
104,7
108,4
97
102,3
90,8
89,6
99,9
99,2
94
103
99,8
94,9
102
103,2
98
101,1
88,2
90,3
105,5
99,4
94,3
105,9
98
99
103,9
104,3
105,7
105,5
97,4
95,4
110,5
102,8
110
104,3
96,5
105,6
111,3
108,5
109,1
107,7
102,3
102,4
110,8
101,7
108,9
111,5
104
109,9
106,8
118,4
111,8
105
104,9
96,5
106,3
105,6
109,3
105,1
111,5
103,1
106,5
114,4
104,7
105,5
100,5
96,4
105,1
108,4
105,7
109
107,2
101,6
112,7
115,9
105
110,4
100,9
98,5
111,3
109,6
103,4
115,7
110,4
105,2
113,2
117,4
112,3
113,9
102,2
106,9
118
113,8
114,9
118,8
106,3
114,2
117,3
114,7
117
116,6
106,5
105,7
121
107,8
119,7
121
108,8
115




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310374&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=310374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310374&T=0

As an alternative you can also use a QR Code:  

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

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







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
157.7NANA-4.78208NA
260.1NANA-7.60634NA
366.5NANA2.3931NA
463.4NANA-0.744917NA
571.4NANA-0.34674NA
668.5NANA2.56107NA
761.665.706467.5625-1.8561-4.1064
868.367.058668.1167-1.058061.24139
969.371.110668.53752.57307-1.81057
1076.175.133468.97926.154190.966639
1173.370.813869.2751.538752.48625
1269.770.757469.58331.17405-1.05738
1367.465.405470.1875-4.782081.99458
1463.763.306270.9125-7.606340.393844
157373.743171.352.3931-0.743104
1667.570.900971.6458-0.744917-3.40092
1774.471.549171.8958-0.346742.85091
1872.974.598672.03752.56107-1.69857
1971.770.368972.225-1.85611.3311
2075.671.458672.5167-1.058064.14139
2172.575.293972.72082.57307-2.7939
228079.158473.00426.154190.841639
2375.474.763873.2251.538750.636246
247174.386573.21251.17405-3.38655
2570.668.530473.3125-4.782082.06958
2667.565.693773.3-7.606341.80634
2774.175.730673.33752.3931-1.6306
2873.272.809273.5542-0.7449170.39075
297473.199173.5458-0.346740.800906
307376.277773.71672.56107-3.27774
317472.235674.0917-1.85611.76443
327373.279474.3375-1.05806-0.27944
337677.056474.48332.57307-1.0564
3481.780.812574.65836.154190.887472
3573.576.292974.75421.53875-2.79292
367775.99974.8251.174051.00095
3773.670.313875.0958-4.782083.28625
3870.467.660375.2667-7.606342.73968
3974.777.788975.39582.3931-3.08894
4076.874.863475.6083-0.7449171.93658
4172.775.407475.7542-0.34674-2.70743
427678.415275.85422.56107-2.41524
4377.574.023175.8792-1.85613.47693
4473.674.821175.8792-1.05806-1.22111
4578.578.893976.32082.57307-0.393901
4684.382.97576.82086.154191.32497
4774.478.601377.06251.53875-4.20125
4878.578.753277.57921.17405-0.253214
4972.773.151377.9333-4.78208-0.451254
5071.370.522878.1292-7.606340.777178
5184.480.993178.62.39313.4069
5279.178.088478.8333-0.7449171.01158
5376.278.799179.1458-0.34674-2.59909
5484.982.323679.76252.561072.57643
5577.178.323180.1792-1.8561-1.22307
5678.779.296180.3542-1.05806-0.596107
5784.782.914780.34172.573071.78527
5883.786.491780.33756.15419-2.79169
5982.582.126380.58751.538750.373746
6085.282.011580.83751.174053.18845
617676.055480.8375-4.78208-0.0554202
6272.273.40281.0083-7.60634-1.20199
6383.283.751481.35832.3931-0.551437
6480.280.800981.5458-0.744917-0.600917
6581.181.486681.8333-0.34674-0.386594
668684.719482.15832.561071.28059
677680.539782.3958-1.8561-4.53973
6883.981.608682.6667-1.058062.29139
6987.985.535682.96252.573072.36443
708589.258483.10426.15419-4.25836
7188.184.884683.34581.538753.21541
7287.484.919983.74581.174052.48012
7379.579.384684.1667-4.782080.115413
7475.277.035384.6417-7.60634-1.83532
7587.387.259884.86672.39310.0402293
7679.584.534285.2792-0.744917-5.03425
7787.685.453385.8-0.346742.14674
7889.188.502785.94172.561070.597261
798384.423186.2792-1.8561-1.42307
8088.385.808686.8667-1.058062.49139
8188.989.948187.3752.57307-1.04807
8293.994.129287.9756.15419-0.229195
8391.790.005488.46671.538751.69458
8487.289.994988.82081.17405-2.79488
8587.884.505489.2875-4.782083.29458
868182.160389.7667-7.60634-1.16032
8793.792.530690.13752.39311.1694
8887.589.980190.725-0.744917-2.48008
8991.491.144991.4917-0.346740.255073
9093.894.652792.09172.56107-0.852739
9189.590.960692.8167-1.8561-1.46057
9293.392.733693.7917-1.058060.566393
9392.896.956494.38332.57307-4.1564
94104.1101.2595.09586.154192.84997
9599.997.572196.03331.538752.32791
9693.497.690796.51671.17405-4.29071
979992.409697.1917-4.782086.59041
9893.290.15297.7583-7.606343.04801
9995.7100.71498.32082.3931-5.01394
100102.698.250998.9958-0.7449174.34908
10198.898.707499.0542-0.346740.092573
10298101.86599.30422.56107-3.86524
103101.597.477299.3333-1.85614.02277
10494.997.783698.8417-1.05806-2.88361
105104.7101.4498.86672.573073.26027
106108.4105.05498.96.154193.34581
10797100.09798.55831.53875-3.09709
108102.399.740798.56671.174052.55929
10990.893.922198.7042-4.78208-3.12209
11089.691.02798.6333-7.60634-1.42699
11199.9100.91498.52082.3931-1.01394
11299.297.446798.1917-0.7449171.75325
1139497.669998.0167-0.34674-3.66993
114103100.56998.00832.561072.43059
11599.895.993997.85-1.85613.8061
11694.996.712897.7708-1.05806-1.81277
117102100.60698.03332.573071.3936
118103.2104.42998.2756.15419-1.22919
1199899.834698.29581.53875-1.83459
120101.199.603298.42921.174051.49679
12188.293.692998.475-4.78208-5.49292
12290.390.964598.5708-7.60634-0.664489
123105.5101.21498.82082.39314.28606
12499.498.200998.9458-0.7449171.19908
12594.398.965899.3125-0.34674-4.66576
126105.9102.37899.81672.561073.52226
1279898.5272100.383-1.8561-0.527234
1289999.9211100.979-1.05806-0.921107
129103.9103.973101.42.57307-0.0730673
130104.3107.904101.756.15419-3.60419
131105.7104.085102.5461.538751.61541
132105.5104.307103.1331.174051.19262
13397.498.2221103.004-4.78208-0.822087
13495.495.6103103.217-7.60634-0.210322
135110.5106.193103.82.39314.3069
136102.8103.538104.283-0.744917-0.738417
137110104.253104.6-0.346745.74674
138104.3107.394104.8332.56107-3.09441
13996.5103.273105.129-1.8561-6.77307
140105.6104.567105.625-1.058061.03306
141111.3108.502105.9292.573072.79777
142108.5112.05105.8966.15419-3.55003
143109.1107.343105.8041.538751.75708
144107.7107.232106.0581.174050.467619
145102.3101.889106.671-4.782080.411246
146102.499.5562107.162-7.606342.84384
147110.8109.547107.1542.39311.25273
148101.7106.634107.379-0.744917-4.93425
149108.9107.557107.904-0.346741.34257
150111.5110.465107.9042.561071.03476
151104106.044107.9-1.8561-2.0439
152109.9106.704107.762-1.058063.19556
153106.8109.902107.3292.57307-3.10223
154118.4113.458107.3046.154194.94164
155111.8109.022107.4831.538752.77791
156105108.407107.2331.17405-3.40738
157104.9102.497107.279-4.782082.40291
15896.599.702107.308-7.60634-3.20199
159106.3109.406107.0122.3931-3.1056
160105.6106.088106.833-0.744917-0.488417
161109.3106.024106.371-0.346743.27591
162105.1108.657106.0962.56107-3.55691
163111.5104.077105.933-1.85617.42277
164103.1104.688105.746-1.05806-1.58777
165106.5108.265105.6922.57307-1.76473
166114.4111.913105.7586.154192.48747
167104.7107.264105.7251.53875-2.56375
168105.5106.912105.7381.17405-1.41155
169100.5100.939105.721-4.78208-0.438754
17096.497.8728105.479-7.60634-1.47282
171105.1108.068105.6752.3931-2.9681
172108.4105.251105.996-0.7449173.14908
173105.7105.724106.071-0.34674-0.0240936
174109108.849106.2872.561070.151427
175107.2104.652106.508-1.85612.54777
176101.6105.554106.612-1.05806-3.95444
177112.7109.531106.9582.573073.1686
178115.9113.421107.2676.154192.47914
179105108.76107.2211.53875-3.75959
180110.4108.578107.4041.174051.82179
181100.9103.035107.817-4.78208-2.13459
18298.5100.494108.1-7.60634-1.99366
183111.3110.664108.2712.39310.636063
184109.6107.609108.354-0.7449171.99075
185103.4108.374108.721-0.34674-4.97409
186115.7111.732109.1712.561073.96809
187110.4107.515109.371-1.85612.88527
188105.2108.717109.775-1.05806-3.51694
189113.2112.977110.4042.573070.222766
190117.4117.013110.8586.154190.387472
191112.3113.051111.5121.53875-0.751254
192113.9113.295112.1211.174050.605119
193102.2107.297112.079-4.78208-5.09709
194106.9104.677112.283-7.606342.22301
195118115.222112.8292.39312.77773
196113.8112.143112.887-0.7449171.65742
197114.9112.624112.971-0.346742.27591
198118.8115.84113.2792.561072.95976
199106.3111.715113.571-1.8561-5.41473
200114.2112.642113.7-1.058061.55806
201117.3116.348113.7752.573070.951933
202114.7119.804113.656.15419-5.10419
203117115.139113.61.538751.86125
204116.6115.066113.8921.174051.53429
205106.5109.305114.088-4.78208-2.80542
206105.7106.619114.225-7.60634-0.918656
207121NANA2.3931NA
208107.8NANA-0.744917NA
209119.7NANA-0.34674NA
210121NANA2.56107NA
211108.8NANA-1.8561NA
212115NANA-1.05806NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 57.7 & NA & NA & -4.78208 & NA \tabularnewline
2 & 60.1 & NA & NA & -7.60634 & NA \tabularnewline
3 & 66.5 & NA & NA & 2.3931 & NA \tabularnewline
4 & 63.4 & NA & NA & -0.744917 & NA \tabularnewline
5 & 71.4 & NA & NA & -0.34674 & NA \tabularnewline
6 & 68.5 & NA & NA & 2.56107 & NA \tabularnewline
7 & 61.6 & 65.7064 & 67.5625 & -1.8561 & -4.1064 \tabularnewline
8 & 68.3 & 67.0586 & 68.1167 & -1.05806 & 1.24139 \tabularnewline
9 & 69.3 & 71.1106 & 68.5375 & 2.57307 & -1.81057 \tabularnewline
10 & 76.1 & 75.1334 & 68.9792 & 6.15419 & 0.966639 \tabularnewline
11 & 73.3 & 70.8138 & 69.275 & 1.53875 & 2.48625 \tabularnewline
12 & 69.7 & 70.7574 & 69.5833 & 1.17405 & -1.05738 \tabularnewline
13 & 67.4 & 65.4054 & 70.1875 & -4.78208 & 1.99458 \tabularnewline
14 & 63.7 & 63.3062 & 70.9125 & -7.60634 & 0.393844 \tabularnewline
15 & 73 & 73.7431 & 71.35 & 2.3931 & -0.743104 \tabularnewline
16 & 67.5 & 70.9009 & 71.6458 & -0.744917 & -3.40092 \tabularnewline
17 & 74.4 & 71.5491 & 71.8958 & -0.34674 & 2.85091 \tabularnewline
18 & 72.9 & 74.5986 & 72.0375 & 2.56107 & -1.69857 \tabularnewline
19 & 71.7 & 70.3689 & 72.225 & -1.8561 & 1.3311 \tabularnewline
20 & 75.6 & 71.4586 & 72.5167 & -1.05806 & 4.14139 \tabularnewline
21 & 72.5 & 75.2939 & 72.7208 & 2.57307 & -2.7939 \tabularnewline
22 & 80 & 79.1584 & 73.0042 & 6.15419 & 0.841639 \tabularnewline
23 & 75.4 & 74.7638 & 73.225 & 1.53875 & 0.636246 \tabularnewline
24 & 71 & 74.3865 & 73.2125 & 1.17405 & -3.38655 \tabularnewline
25 & 70.6 & 68.5304 & 73.3125 & -4.78208 & 2.06958 \tabularnewline
26 & 67.5 & 65.6937 & 73.3 & -7.60634 & 1.80634 \tabularnewline
27 & 74.1 & 75.7306 & 73.3375 & 2.3931 & -1.6306 \tabularnewline
28 & 73.2 & 72.8092 & 73.5542 & -0.744917 & 0.39075 \tabularnewline
29 & 74 & 73.1991 & 73.5458 & -0.34674 & 0.800906 \tabularnewline
30 & 73 & 76.2777 & 73.7167 & 2.56107 & -3.27774 \tabularnewline
31 & 74 & 72.2356 & 74.0917 & -1.8561 & 1.76443 \tabularnewline
32 & 73 & 73.2794 & 74.3375 & -1.05806 & -0.27944 \tabularnewline
33 & 76 & 77.0564 & 74.4833 & 2.57307 & -1.0564 \tabularnewline
34 & 81.7 & 80.8125 & 74.6583 & 6.15419 & 0.887472 \tabularnewline
35 & 73.5 & 76.2929 & 74.7542 & 1.53875 & -2.79292 \tabularnewline
36 & 77 & 75.999 & 74.825 & 1.17405 & 1.00095 \tabularnewline
37 & 73.6 & 70.3138 & 75.0958 & -4.78208 & 3.28625 \tabularnewline
38 & 70.4 & 67.6603 & 75.2667 & -7.60634 & 2.73968 \tabularnewline
39 & 74.7 & 77.7889 & 75.3958 & 2.3931 & -3.08894 \tabularnewline
40 & 76.8 & 74.8634 & 75.6083 & -0.744917 & 1.93658 \tabularnewline
41 & 72.7 & 75.4074 & 75.7542 & -0.34674 & -2.70743 \tabularnewline
42 & 76 & 78.4152 & 75.8542 & 2.56107 & -2.41524 \tabularnewline
43 & 77.5 & 74.0231 & 75.8792 & -1.8561 & 3.47693 \tabularnewline
44 & 73.6 & 74.8211 & 75.8792 & -1.05806 & -1.22111 \tabularnewline
45 & 78.5 & 78.8939 & 76.3208 & 2.57307 & -0.393901 \tabularnewline
46 & 84.3 & 82.975 & 76.8208 & 6.15419 & 1.32497 \tabularnewline
47 & 74.4 & 78.6013 & 77.0625 & 1.53875 & -4.20125 \tabularnewline
48 & 78.5 & 78.7532 & 77.5792 & 1.17405 & -0.253214 \tabularnewline
49 & 72.7 & 73.1513 & 77.9333 & -4.78208 & -0.451254 \tabularnewline
50 & 71.3 & 70.5228 & 78.1292 & -7.60634 & 0.777178 \tabularnewline
51 & 84.4 & 80.9931 & 78.6 & 2.3931 & 3.4069 \tabularnewline
52 & 79.1 & 78.0884 & 78.8333 & -0.744917 & 1.01158 \tabularnewline
53 & 76.2 & 78.7991 & 79.1458 & -0.34674 & -2.59909 \tabularnewline
54 & 84.9 & 82.3236 & 79.7625 & 2.56107 & 2.57643 \tabularnewline
55 & 77.1 & 78.3231 & 80.1792 & -1.8561 & -1.22307 \tabularnewline
56 & 78.7 & 79.2961 & 80.3542 & -1.05806 & -0.596107 \tabularnewline
57 & 84.7 & 82.9147 & 80.3417 & 2.57307 & 1.78527 \tabularnewline
58 & 83.7 & 86.4917 & 80.3375 & 6.15419 & -2.79169 \tabularnewline
59 & 82.5 & 82.1263 & 80.5875 & 1.53875 & 0.373746 \tabularnewline
60 & 85.2 & 82.0115 & 80.8375 & 1.17405 & 3.18845 \tabularnewline
61 & 76 & 76.0554 & 80.8375 & -4.78208 & -0.0554202 \tabularnewline
62 & 72.2 & 73.402 & 81.0083 & -7.60634 & -1.20199 \tabularnewline
63 & 83.2 & 83.7514 & 81.3583 & 2.3931 & -0.551437 \tabularnewline
64 & 80.2 & 80.8009 & 81.5458 & -0.744917 & -0.600917 \tabularnewline
65 & 81.1 & 81.4866 & 81.8333 & -0.34674 & -0.386594 \tabularnewline
66 & 86 & 84.7194 & 82.1583 & 2.56107 & 1.28059 \tabularnewline
67 & 76 & 80.5397 & 82.3958 & -1.8561 & -4.53973 \tabularnewline
68 & 83.9 & 81.6086 & 82.6667 & -1.05806 & 2.29139 \tabularnewline
69 & 87.9 & 85.5356 & 82.9625 & 2.57307 & 2.36443 \tabularnewline
70 & 85 & 89.2584 & 83.1042 & 6.15419 & -4.25836 \tabularnewline
71 & 88.1 & 84.8846 & 83.3458 & 1.53875 & 3.21541 \tabularnewline
72 & 87.4 & 84.9199 & 83.7458 & 1.17405 & 2.48012 \tabularnewline
73 & 79.5 & 79.3846 & 84.1667 & -4.78208 & 0.115413 \tabularnewline
74 & 75.2 & 77.0353 & 84.6417 & -7.60634 & -1.83532 \tabularnewline
75 & 87.3 & 87.2598 & 84.8667 & 2.3931 & 0.0402293 \tabularnewline
76 & 79.5 & 84.5342 & 85.2792 & -0.744917 & -5.03425 \tabularnewline
77 & 87.6 & 85.4533 & 85.8 & -0.34674 & 2.14674 \tabularnewline
78 & 89.1 & 88.5027 & 85.9417 & 2.56107 & 0.597261 \tabularnewline
79 & 83 & 84.4231 & 86.2792 & -1.8561 & -1.42307 \tabularnewline
80 & 88.3 & 85.8086 & 86.8667 & -1.05806 & 2.49139 \tabularnewline
81 & 88.9 & 89.9481 & 87.375 & 2.57307 & -1.04807 \tabularnewline
82 & 93.9 & 94.1292 & 87.975 & 6.15419 & -0.229195 \tabularnewline
83 & 91.7 & 90.0054 & 88.4667 & 1.53875 & 1.69458 \tabularnewline
84 & 87.2 & 89.9949 & 88.8208 & 1.17405 & -2.79488 \tabularnewline
85 & 87.8 & 84.5054 & 89.2875 & -4.78208 & 3.29458 \tabularnewline
86 & 81 & 82.1603 & 89.7667 & -7.60634 & -1.16032 \tabularnewline
87 & 93.7 & 92.5306 & 90.1375 & 2.3931 & 1.1694 \tabularnewline
88 & 87.5 & 89.9801 & 90.725 & -0.744917 & -2.48008 \tabularnewline
89 & 91.4 & 91.1449 & 91.4917 & -0.34674 & 0.255073 \tabularnewline
90 & 93.8 & 94.6527 & 92.0917 & 2.56107 & -0.852739 \tabularnewline
91 & 89.5 & 90.9606 & 92.8167 & -1.8561 & -1.46057 \tabularnewline
92 & 93.3 & 92.7336 & 93.7917 & -1.05806 & 0.566393 \tabularnewline
93 & 92.8 & 96.9564 & 94.3833 & 2.57307 & -4.1564 \tabularnewline
94 & 104.1 & 101.25 & 95.0958 & 6.15419 & 2.84997 \tabularnewline
95 & 99.9 & 97.5721 & 96.0333 & 1.53875 & 2.32791 \tabularnewline
96 & 93.4 & 97.6907 & 96.5167 & 1.17405 & -4.29071 \tabularnewline
97 & 99 & 92.4096 & 97.1917 & -4.78208 & 6.59041 \tabularnewline
98 & 93.2 & 90.152 & 97.7583 & -7.60634 & 3.04801 \tabularnewline
99 & 95.7 & 100.714 & 98.3208 & 2.3931 & -5.01394 \tabularnewline
100 & 102.6 & 98.2509 & 98.9958 & -0.744917 & 4.34908 \tabularnewline
101 & 98.8 & 98.7074 & 99.0542 & -0.34674 & 0.092573 \tabularnewline
102 & 98 & 101.865 & 99.3042 & 2.56107 & -3.86524 \tabularnewline
103 & 101.5 & 97.4772 & 99.3333 & -1.8561 & 4.02277 \tabularnewline
104 & 94.9 & 97.7836 & 98.8417 & -1.05806 & -2.88361 \tabularnewline
105 & 104.7 & 101.44 & 98.8667 & 2.57307 & 3.26027 \tabularnewline
106 & 108.4 & 105.054 & 98.9 & 6.15419 & 3.34581 \tabularnewline
107 & 97 & 100.097 & 98.5583 & 1.53875 & -3.09709 \tabularnewline
108 & 102.3 & 99.7407 & 98.5667 & 1.17405 & 2.55929 \tabularnewline
109 & 90.8 & 93.9221 & 98.7042 & -4.78208 & -3.12209 \tabularnewline
110 & 89.6 & 91.027 & 98.6333 & -7.60634 & -1.42699 \tabularnewline
111 & 99.9 & 100.914 & 98.5208 & 2.3931 & -1.01394 \tabularnewline
112 & 99.2 & 97.4467 & 98.1917 & -0.744917 & 1.75325 \tabularnewline
113 & 94 & 97.6699 & 98.0167 & -0.34674 & -3.66993 \tabularnewline
114 & 103 & 100.569 & 98.0083 & 2.56107 & 2.43059 \tabularnewline
115 & 99.8 & 95.9939 & 97.85 & -1.8561 & 3.8061 \tabularnewline
116 & 94.9 & 96.7128 & 97.7708 & -1.05806 & -1.81277 \tabularnewline
117 & 102 & 100.606 & 98.0333 & 2.57307 & 1.3936 \tabularnewline
118 & 103.2 & 104.429 & 98.275 & 6.15419 & -1.22919 \tabularnewline
119 & 98 & 99.8346 & 98.2958 & 1.53875 & -1.83459 \tabularnewline
120 & 101.1 & 99.6032 & 98.4292 & 1.17405 & 1.49679 \tabularnewline
121 & 88.2 & 93.6929 & 98.475 & -4.78208 & -5.49292 \tabularnewline
122 & 90.3 & 90.9645 & 98.5708 & -7.60634 & -0.664489 \tabularnewline
123 & 105.5 & 101.214 & 98.8208 & 2.3931 & 4.28606 \tabularnewline
124 & 99.4 & 98.2009 & 98.9458 & -0.744917 & 1.19908 \tabularnewline
125 & 94.3 & 98.9658 & 99.3125 & -0.34674 & -4.66576 \tabularnewline
126 & 105.9 & 102.378 & 99.8167 & 2.56107 & 3.52226 \tabularnewline
127 & 98 & 98.5272 & 100.383 & -1.8561 & -0.527234 \tabularnewline
128 & 99 & 99.9211 & 100.979 & -1.05806 & -0.921107 \tabularnewline
129 & 103.9 & 103.973 & 101.4 & 2.57307 & -0.0730673 \tabularnewline
130 & 104.3 & 107.904 & 101.75 & 6.15419 & -3.60419 \tabularnewline
131 & 105.7 & 104.085 & 102.546 & 1.53875 & 1.61541 \tabularnewline
132 & 105.5 & 104.307 & 103.133 & 1.17405 & 1.19262 \tabularnewline
133 & 97.4 & 98.2221 & 103.004 & -4.78208 & -0.822087 \tabularnewline
134 & 95.4 & 95.6103 & 103.217 & -7.60634 & -0.210322 \tabularnewline
135 & 110.5 & 106.193 & 103.8 & 2.3931 & 4.3069 \tabularnewline
136 & 102.8 & 103.538 & 104.283 & -0.744917 & -0.738417 \tabularnewline
137 & 110 & 104.253 & 104.6 & -0.34674 & 5.74674 \tabularnewline
138 & 104.3 & 107.394 & 104.833 & 2.56107 & -3.09441 \tabularnewline
139 & 96.5 & 103.273 & 105.129 & -1.8561 & -6.77307 \tabularnewline
140 & 105.6 & 104.567 & 105.625 & -1.05806 & 1.03306 \tabularnewline
141 & 111.3 & 108.502 & 105.929 & 2.57307 & 2.79777 \tabularnewline
142 & 108.5 & 112.05 & 105.896 & 6.15419 & -3.55003 \tabularnewline
143 & 109.1 & 107.343 & 105.804 & 1.53875 & 1.75708 \tabularnewline
144 & 107.7 & 107.232 & 106.058 & 1.17405 & 0.467619 \tabularnewline
145 & 102.3 & 101.889 & 106.671 & -4.78208 & 0.411246 \tabularnewline
146 & 102.4 & 99.5562 & 107.162 & -7.60634 & 2.84384 \tabularnewline
147 & 110.8 & 109.547 & 107.154 & 2.3931 & 1.25273 \tabularnewline
148 & 101.7 & 106.634 & 107.379 & -0.744917 & -4.93425 \tabularnewline
149 & 108.9 & 107.557 & 107.904 & -0.34674 & 1.34257 \tabularnewline
150 & 111.5 & 110.465 & 107.904 & 2.56107 & 1.03476 \tabularnewline
151 & 104 & 106.044 & 107.9 & -1.8561 & -2.0439 \tabularnewline
152 & 109.9 & 106.704 & 107.762 & -1.05806 & 3.19556 \tabularnewline
153 & 106.8 & 109.902 & 107.329 & 2.57307 & -3.10223 \tabularnewline
154 & 118.4 & 113.458 & 107.304 & 6.15419 & 4.94164 \tabularnewline
155 & 111.8 & 109.022 & 107.483 & 1.53875 & 2.77791 \tabularnewline
156 & 105 & 108.407 & 107.233 & 1.17405 & -3.40738 \tabularnewline
157 & 104.9 & 102.497 & 107.279 & -4.78208 & 2.40291 \tabularnewline
158 & 96.5 & 99.702 & 107.308 & -7.60634 & -3.20199 \tabularnewline
159 & 106.3 & 109.406 & 107.012 & 2.3931 & -3.1056 \tabularnewline
160 & 105.6 & 106.088 & 106.833 & -0.744917 & -0.488417 \tabularnewline
161 & 109.3 & 106.024 & 106.371 & -0.34674 & 3.27591 \tabularnewline
162 & 105.1 & 108.657 & 106.096 & 2.56107 & -3.55691 \tabularnewline
163 & 111.5 & 104.077 & 105.933 & -1.8561 & 7.42277 \tabularnewline
164 & 103.1 & 104.688 & 105.746 & -1.05806 & -1.58777 \tabularnewline
165 & 106.5 & 108.265 & 105.692 & 2.57307 & -1.76473 \tabularnewline
166 & 114.4 & 111.913 & 105.758 & 6.15419 & 2.48747 \tabularnewline
167 & 104.7 & 107.264 & 105.725 & 1.53875 & -2.56375 \tabularnewline
168 & 105.5 & 106.912 & 105.738 & 1.17405 & -1.41155 \tabularnewline
169 & 100.5 & 100.939 & 105.721 & -4.78208 & -0.438754 \tabularnewline
170 & 96.4 & 97.8728 & 105.479 & -7.60634 & -1.47282 \tabularnewline
171 & 105.1 & 108.068 & 105.675 & 2.3931 & -2.9681 \tabularnewline
172 & 108.4 & 105.251 & 105.996 & -0.744917 & 3.14908 \tabularnewline
173 & 105.7 & 105.724 & 106.071 & -0.34674 & -0.0240936 \tabularnewline
174 & 109 & 108.849 & 106.287 & 2.56107 & 0.151427 \tabularnewline
175 & 107.2 & 104.652 & 106.508 & -1.8561 & 2.54777 \tabularnewline
176 & 101.6 & 105.554 & 106.612 & -1.05806 & -3.95444 \tabularnewline
177 & 112.7 & 109.531 & 106.958 & 2.57307 & 3.1686 \tabularnewline
178 & 115.9 & 113.421 & 107.267 & 6.15419 & 2.47914 \tabularnewline
179 & 105 & 108.76 & 107.221 & 1.53875 & -3.75959 \tabularnewline
180 & 110.4 & 108.578 & 107.404 & 1.17405 & 1.82179 \tabularnewline
181 & 100.9 & 103.035 & 107.817 & -4.78208 & -2.13459 \tabularnewline
182 & 98.5 & 100.494 & 108.1 & -7.60634 & -1.99366 \tabularnewline
183 & 111.3 & 110.664 & 108.271 & 2.3931 & 0.636063 \tabularnewline
184 & 109.6 & 107.609 & 108.354 & -0.744917 & 1.99075 \tabularnewline
185 & 103.4 & 108.374 & 108.721 & -0.34674 & -4.97409 \tabularnewline
186 & 115.7 & 111.732 & 109.171 & 2.56107 & 3.96809 \tabularnewline
187 & 110.4 & 107.515 & 109.371 & -1.8561 & 2.88527 \tabularnewline
188 & 105.2 & 108.717 & 109.775 & -1.05806 & -3.51694 \tabularnewline
189 & 113.2 & 112.977 & 110.404 & 2.57307 & 0.222766 \tabularnewline
190 & 117.4 & 117.013 & 110.858 & 6.15419 & 0.387472 \tabularnewline
191 & 112.3 & 113.051 & 111.512 & 1.53875 & -0.751254 \tabularnewline
192 & 113.9 & 113.295 & 112.121 & 1.17405 & 0.605119 \tabularnewline
193 & 102.2 & 107.297 & 112.079 & -4.78208 & -5.09709 \tabularnewline
194 & 106.9 & 104.677 & 112.283 & -7.60634 & 2.22301 \tabularnewline
195 & 118 & 115.222 & 112.829 & 2.3931 & 2.77773 \tabularnewline
196 & 113.8 & 112.143 & 112.887 & -0.744917 & 1.65742 \tabularnewline
197 & 114.9 & 112.624 & 112.971 & -0.34674 & 2.27591 \tabularnewline
198 & 118.8 & 115.84 & 113.279 & 2.56107 & 2.95976 \tabularnewline
199 & 106.3 & 111.715 & 113.571 & -1.8561 & -5.41473 \tabularnewline
200 & 114.2 & 112.642 & 113.7 & -1.05806 & 1.55806 \tabularnewline
201 & 117.3 & 116.348 & 113.775 & 2.57307 & 0.951933 \tabularnewline
202 & 114.7 & 119.804 & 113.65 & 6.15419 & -5.10419 \tabularnewline
203 & 117 & 115.139 & 113.6 & 1.53875 & 1.86125 \tabularnewline
204 & 116.6 & 115.066 & 113.892 & 1.17405 & 1.53429 \tabularnewline
205 & 106.5 & 109.305 & 114.088 & -4.78208 & -2.80542 \tabularnewline
206 & 105.7 & 106.619 & 114.225 & -7.60634 & -0.918656 \tabularnewline
207 & 121 & NA & NA & 2.3931 & NA \tabularnewline
208 & 107.8 & NA & NA & -0.744917 & NA \tabularnewline
209 & 119.7 & NA & NA & -0.34674 & NA \tabularnewline
210 & 121 & NA & NA & 2.56107 & NA \tabularnewline
211 & 108.8 & NA & NA & -1.8561 & NA \tabularnewline
212 & 115 & NA & NA & -1.05806 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310374&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]57.7[/C][C]NA[/C][C]NA[/C][C]-4.78208[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]60.1[/C][C]NA[/C][C]NA[/C][C]-7.60634[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]66.5[/C][C]NA[/C][C]NA[/C][C]2.3931[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]63.4[/C][C]NA[/C][C]NA[/C][C]-0.744917[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]71.4[/C][C]NA[/C][C]NA[/C][C]-0.34674[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]68.5[/C][C]NA[/C][C]NA[/C][C]2.56107[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]61.6[/C][C]65.7064[/C][C]67.5625[/C][C]-1.8561[/C][C]-4.1064[/C][/ROW]
[ROW][C]8[/C][C]68.3[/C][C]67.0586[/C][C]68.1167[/C][C]-1.05806[/C][C]1.24139[/C][/ROW]
[ROW][C]9[/C][C]69.3[/C][C]71.1106[/C][C]68.5375[/C][C]2.57307[/C][C]-1.81057[/C][/ROW]
[ROW][C]10[/C][C]76.1[/C][C]75.1334[/C][C]68.9792[/C][C]6.15419[/C][C]0.966639[/C][/ROW]
[ROW][C]11[/C][C]73.3[/C][C]70.8138[/C][C]69.275[/C][C]1.53875[/C][C]2.48625[/C][/ROW]
[ROW][C]12[/C][C]69.7[/C][C]70.7574[/C][C]69.5833[/C][C]1.17405[/C][C]-1.05738[/C][/ROW]
[ROW][C]13[/C][C]67.4[/C][C]65.4054[/C][C]70.1875[/C][C]-4.78208[/C][C]1.99458[/C][/ROW]
[ROW][C]14[/C][C]63.7[/C][C]63.3062[/C][C]70.9125[/C][C]-7.60634[/C][C]0.393844[/C][/ROW]
[ROW][C]15[/C][C]73[/C][C]73.7431[/C][C]71.35[/C][C]2.3931[/C][C]-0.743104[/C][/ROW]
[ROW][C]16[/C][C]67.5[/C][C]70.9009[/C][C]71.6458[/C][C]-0.744917[/C][C]-3.40092[/C][/ROW]
[ROW][C]17[/C][C]74.4[/C][C]71.5491[/C][C]71.8958[/C][C]-0.34674[/C][C]2.85091[/C][/ROW]
[ROW][C]18[/C][C]72.9[/C][C]74.5986[/C][C]72.0375[/C][C]2.56107[/C][C]-1.69857[/C][/ROW]
[ROW][C]19[/C][C]71.7[/C][C]70.3689[/C][C]72.225[/C][C]-1.8561[/C][C]1.3311[/C][/ROW]
[ROW][C]20[/C][C]75.6[/C][C]71.4586[/C][C]72.5167[/C][C]-1.05806[/C][C]4.14139[/C][/ROW]
[ROW][C]21[/C][C]72.5[/C][C]75.2939[/C][C]72.7208[/C][C]2.57307[/C][C]-2.7939[/C][/ROW]
[ROW][C]22[/C][C]80[/C][C]79.1584[/C][C]73.0042[/C][C]6.15419[/C][C]0.841639[/C][/ROW]
[ROW][C]23[/C][C]75.4[/C][C]74.7638[/C][C]73.225[/C][C]1.53875[/C][C]0.636246[/C][/ROW]
[ROW][C]24[/C][C]71[/C][C]74.3865[/C][C]73.2125[/C][C]1.17405[/C][C]-3.38655[/C][/ROW]
[ROW][C]25[/C][C]70.6[/C][C]68.5304[/C][C]73.3125[/C][C]-4.78208[/C][C]2.06958[/C][/ROW]
[ROW][C]26[/C][C]67.5[/C][C]65.6937[/C][C]73.3[/C][C]-7.60634[/C][C]1.80634[/C][/ROW]
[ROW][C]27[/C][C]74.1[/C][C]75.7306[/C][C]73.3375[/C][C]2.3931[/C][C]-1.6306[/C][/ROW]
[ROW][C]28[/C][C]73.2[/C][C]72.8092[/C][C]73.5542[/C][C]-0.744917[/C][C]0.39075[/C][/ROW]
[ROW][C]29[/C][C]74[/C][C]73.1991[/C][C]73.5458[/C][C]-0.34674[/C][C]0.800906[/C][/ROW]
[ROW][C]30[/C][C]73[/C][C]76.2777[/C][C]73.7167[/C][C]2.56107[/C][C]-3.27774[/C][/ROW]
[ROW][C]31[/C][C]74[/C][C]72.2356[/C][C]74.0917[/C][C]-1.8561[/C][C]1.76443[/C][/ROW]
[ROW][C]32[/C][C]73[/C][C]73.2794[/C][C]74.3375[/C][C]-1.05806[/C][C]-0.27944[/C][/ROW]
[ROW][C]33[/C][C]76[/C][C]77.0564[/C][C]74.4833[/C][C]2.57307[/C][C]-1.0564[/C][/ROW]
[ROW][C]34[/C][C]81.7[/C][C]80.8125[/C][C]74.6583[/C][C]6.15419[/C][C]0.887472[/C][/ROW]
[ROW][C]35[/C][C]73.5[/C][C]76.2929[/C][C]74.7542[/C][C]1.53875[/C][C]-2.79292[/C][/ROW]
[ROW][C]36[/C][C]77[/C][C]75.999[/C][C]74.825[/C][C]1.17405[/C][C]1.00095[/C][/ROW]
[ROW][C]37[/C][C]73.6[/C][C]70.3138[/C][C]75.0958[/C][C]-4.78208[/C][C]3.28625[/C][/ROW]
[ROW][C]38[/C][C]70.4[/C][C]67.6603[/C][C]75.2667[/C][C]-7.60634[/C][C]2.73968[/C][/ROW]
[ROW][C]39[/C][C]74.7[/C][C]77.7889[/C][C]75.3958[/C][C]2.3931[/C][C]-3.08894[/C][/ROW]
[ROW][C]40[/C][C]76.8[/C][C]74.8634[/C][C]75.6083[/C][C]-0.744917[/C][C]1.93658[/C][/ROW]
[ROW][C]41[/C][C]72.7[/C][C]75.4074[/C][C]75.7542[/C][C]-0.34674[/C][C]-2.70743[/C][/ROW]
[ROW][C]42[/C][C]76[/C][C]78.4152[/C][C]75.8542[/C][C]2.56107[/C][C]-2.41524[/C][/ROW]
[ROW][C]43[/C][C]77.5[/C][C]74.0231[/C][C]75.8792[/C][C]-1.8561[/C][C]3.47693[/C][/ROW]
[ROW][C]44[/C][C]73.6[/C][C]74.8211[/C][C]75.8792[/C][C]-1.05806[/C][C]-1.22111[/C][/ROW]
[ROW][C]45[/C][C]78.5[/C][C]78.8939[/C][C]76.3208[/C][C]2.57307[/C][C]-0.393901[/C][/ROW]
[ROW][C]46[/C][C]84.3[/C][C]82.975[/C][C]76.8208[/C][C]6.15419[/C][C]1.32497[/C][/ROW]
[ROW][C]47[/C][C]74.4[/C][C]78.6013[/C][C]77.0625[/C][C]1.53875[/C][C]-4.20125[/C][/ROW]
[ROW][C]48[/C][C]78.5[/C][C]78.7532[/C][C]77.5792[/C][C]1.17405[/C][C]-0.253214[/C][/ROW]
[ROW][C]49[/C][C]72.7[/C][C]73.1513[/C][C]77.9333[/C][C]-4.78208[/C][C]-0.451254[/C][/ROW]
[ROW][C]50[/C][C]71.3[/C][C]70.5228[/C][C]78.1292[/C][C]-7.60634[/C][C]0.777178[/C][/ROW]
[ROW][C]51[/C][C]84.4[/C][C]80.9931[/C][C]78.6[/C][C]2.3931[/C][C]3.4069[/C][/ROW]
[ROW][C]52[/C][C]79.1[/C][C]78.0884[/C][C]78.8333[/C][C]-0.744917[/C][C]1.01158[/C][/ROW]
[ROW][C]53[/C][C]76.2[/C][C]78.7991[/C][C]79.1458[/C][C]-0.34674[/C][C]-2.59909[/C][/ROW]
[ROW][C]54[/C][C]84.9[/C][C]82.3236[/C][C]79.7625[/C][C]2.56107[/C][C]2.57643[/C][/ROW]
[ROW][C]55[/C][C]77.1[/C][C]78.3231[/C][C]80.1792[/C][C]-1.8561[/C][C]-1.22307[/C][/ROW]
[ROW][C]56[/C][C]78.7[/C][C]79.2961[/C][C]80.3542[/C][C]-1.05806[/C][C]-0.596107[/C][/ROW]
[ROW][C]57[/C][C]84.7[/C][C]82.9147[/C][C]80.3417[/C][C]2.57307[/C][C]1.78527[/C][/ROW]
[ROW][C]58[/C][C]83.7[/C][C]86.4917[/C][C]80.3375[/C][C]6.15419[/C][C]-2.79169[/C][/ROW]
[ROW][C]59[/C][C]82.5[/C][C]82.1263[/C][C]80.5875[/C][C]1.53875[/C][C]0.373746[/C][/ROW]
[ROW][C]60[/C][C]85.2[/C][C]82.0115[/C][C]80.8375[/C][C]1.17405[/C][C]3.18845[/C][/ROW]
[ROW][C]61[/C][C]76[/C][C]76.0554[/C][C]80.8375[/C][C]-4.78208[/C][C]-0.0554202[/C][/ROW]
[ROW][C]62[/C][C]72.2[/C][C]73.402[/C][C]81.0083[/C][C]-7.60634[/C][C]-1.20199[/C][/ROW]
[ROW][C]63[/C][C]83.2[/C][C]83.7514[/C][C]81.3583[/C][C]2.3931[/C][C]-0.551437[/C][/ROW]
[ROW][C]64[/C][C]80.2[/C][C]80.8009[/C][C]81.5458[/C][C]-0.744917[/C][C]-0.600917[/C][/ROW]
[ROW][C]65[/C][C]81.1[/C][C]81.4866[/C][C]81.8333[/C][C]-0.34674[/C][C]-0.386594[/C][/ROW]
[ROW][C]66[/C][C]86[/C][C]84.7194[/C][C]82.1583[/C][C]2.56107[/C][C]1.28059[/C][/ROW]
[ROW][C]67[/C][C]76[/C][C]80.5397[/C][C]82.3958[/C][C]-1.8561[/C][C]-4.53973[/C][/ROW]
[ROW][C]68[/C][C]83.9[/C][C]81.6086[/C][C]82.6667[/C][C]-1.05806[/C][C]2.29139[/C][/ROW]
[ROW][C]69[/C][C]87.9[/C][C]85.5356[/C][C]82.9625[/C][C]2.57307[/C][C]2.36443[/C][/ROW]
[ROW][C]70[/C][C]85[/C][C]89.2584[/C][C]83.1042[/C][C]6.15419[/C][C]-4.25836[/C][/ROW]
[ROW][C]71[/C][C]88.1[/C][C]84.8846[/C][C]83.3458[/C][C]1.53875[/C][C]3.21541[/C][/ROW]
[ROW][C]72[/C][C]87.4[/C][C]84.9199[/C][C]83.7458[/C][C]1.17405[/C][C]2.48012[/C][/ROW]
[ROW][C]73[/C][C]79.5[/C][C]79.3846[/C][C]84.1667[/C][C]-4.78208[/C][C]0.115413[/C][/ROW]
[ROW][C]74[/C][C]75.2[/C][C]77.0353[/C][C]84.6417[/C][C]-7.60634[/C][C]-1.83532[/C][/ROW]
[ROW][C]75[/C][C]87.3[/C][C]87.2598[/C][C]84.8667[/C][C]2.3931[/C][C]0.0402293[/C][/ROW]
[ROW][C]76[/C][C]79.5[/C][C]84.5342[/C][C]85.2792[/C][C]-0.744917[/C][C]-5.03425[/C][/ROW]
[ROW][C]77[/C][C]87.6[/C][C]85.4533[/C][C]85.8[/C][C]-0.34674[/C][C]2.14674[/C][/ROW]
[ROW][C]78[/C][C]89.1[/C][C]88.5027[/C][C]85.9417[/C][C]2.56107[/C][C]0.597261[/C][/ROW]
[ROW][C]79[/C][C]83[/C][C]84.4231[/C][C]86.2792[/C][C]-1.8561[/C][C]-1.42307[/C][/ROW]
[ROW][C]80[/C][C]88.3[/C][C]85.8086[/C][C]86.8667[/C][C]-1.05806[/C][C]2.49139[/C][/ROW]
[ROW][C]81[/C][C]88.9[/C][C]89.9481[/C][C]87.375[/C][C]2.57307[/C][C]-1.04807[/C][/ROW]
[ROW][C]82[/C][C]93.9[/C][C]94.1292[/C][C]87.975[/C][C]6.15419[/C][C]-0.229195[/C][/ROW]
[ROW][C]83[/C][C]91.7[/C][C]90.0054[/C][C]88.4667[/C][C]1.53875[/C][C]1.69458[/C][/ROW]
[ROW][C]84[/C][C]87.2[/C][C]89.9949[/C][C]88.8208[/C][C]1.17405[/C][C]-2.79488[/C][/ROW]
[ROW][C]85[/C][C]87.8[/C][C]84.5054[/C][C]89.2875[/C][C]-4.78208[/C][C]3.29458[/C][/ROW]
[ROW][C]86[/C][C]81[/C][C]82.1603[/C][C]89.7667[/C][C]-7.60634[/C][C]-1.16032[/C][/ROW]
[ROW][C]87[/C][C]93.7[/C][C]92.5306[/C][C]90.1375[/C][C]2.3931[/C][C]1.1694[/C][/ROW]
[ROW][C]88[/C][C]87.5[/C][C]89.9801[/C][C]90.725[/C][C]-0.744917[/C][C]-2.48008[/C][/ROW]
[ROW][C]89[/C][C]91.4[/C][C]91.1449[/C][C]91.4917[/C][C]-0.34674[/C][C]0.255073[/C][/ROW]
[ROW][C]90[/C][C]93.8[/C][C]94.6527[/C][C]92.0917[/C][C]2.56107[/C][C]-0.852739[/C][/ROW]
[ROW][C]91[/C][C]89.5[/C][C]90.9606[/C][C]92.8167[/C][C]-1.8561[/C][C]-1.46057[/C][/ROW]
[ROW][C]92[/C][C]93.3[/C][C]92.7336[/C][C]93.7917[/C][C]-1.05806[/C][C]0.566393[/C][/ROW]
[ROW][C]93[/C][C]92.8[/C][C]96.9564[/C][C]94.3833[/C][C]2.57307[/C][C]-4.1564[/C][/ROW]
[ROW][C]94[/C][C]104.1[/C][C]101.25[/C][C]95.0958[/C][C]6.15419[/C][C]2.84997[/C][/ROW]
[ROW][C]95[/C][C]99.9[/C][C]97.5721[/C][C]96.0333[/C][C]1.53875[/C][C]2.32791[/C][/ROW]
[ROW][C]96[/C][C]93.4[/C][C]97.6907[/C][C]96.5167[/C][C]1.17405[/C][C]-4.29071[/C][/ROW]
[ROW][C]97[/C][C]99[/C][C]92.4096[/C][C]97.1917[/C][C]-4.78208[/C][C]6.59041[/C][/ROW]
[ROW][C]98[/C][C]93.2[/C][C]90.152[/C][C]97.7583[/C][C]-7.60634[/C][C]3.04801[/C][/ROW]
[ROW][C]99[/C][C]95.7[/C][C]100.714[/C][C]98.3208[/C][C]2.3931[/C][C]-5.01394[/C][/ROW]
[ROW][C]100[/C][C]102.6[/C][C]98.2509[/C][C]98.9958[/C][C]-0.744917[/C][C]4.34908[/C][/ROW]
[ROW][C]101[/C][C]98.8[/C][C]98.7074[/C][C]99.0542[/C][C]-0.34674[/C][C]0.092573[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]101.865[/C][C]99.3042[/C][C]2.56107[/C][C]-3.86524[/C][/ROW]
[ROW][C]103[/C][C]101.5[/C][C]97.4772[/C][C]99.3333[/C][C]-1.8561[/C][C]4.02277[/C][/ROW]
[ROW][C]104[/C][C]94.9[/C][C]97.7836[/C][C]98.8417[/C][C]-1.05806[/C][C]-2.88361[/C][/ROW]
[ROW][C]105[/C][C]104.7[/C][C]101.44[/C][C]98.8667[/C][C]2.57307[/C][C]3.26027[/C][/ROW]
[ROW][C]106[/C][C]108.4[/C][C]105.054[/C][C]98.9[/C][C]6.15419[/C][C]3.34581[/C][/ROW]
[ROW][C]107[/C][C]97[/C][C]100.097[/C][C]98.5583[/C][C]1.53875[/C][C]-3.09709[/C][/ROW]
[ROW][C]108[/C][C]102.3[/C][C]99.7407[/C][C]98.5667[/C][C]1.17405[/C][C]2.55929[/C][/ROW]
[ROW][C]109[/C][C]90.8[/C][C]93.9221[/C][C]98.7042[/C][C]-4.78208[/C][C]-3.12209[/C][/ROW]
[ROW][C]110[/C][C]89.6[/C][C]91.027[/C][C]98.6333[/C][C]-7.60634[/C][C]-1.42699[/C][/ROW]
[ROW][C]111[/C][C]99.9[/C][C]100.914[/C][C]98.5208[/C][C]2.3931[/C][C]-1.01394[/C][/ROW]
[ROW][C]112[/C][C]99.2[/C][C]97.4467[/C][C]98.1917[/C][C]-0.744917[/C][C]1.75325[/C][/ROW]
[ROW][C]113[/C][C]94[/C][C]97.6699[/C][C]98.0167[/C][C]-0.34674[/C][C]-3.66993[/C][/ROW]
[ROW][C]114[/C][C]103[/C][C]100.569[/C][C]98.0083[/C][C]2.56107[/C][C]2.43059[/C][/ROW]
[ROW][C]115[/C][C]99.8[/C][C]95.9939[/C][C]97.85[/C][C]-1.8561[/C][C]3.8061[/C][/ROW]
[ROW][C]116[/C][C]94.9[/C][C]96.7128[/C][C]97.7708[/C][C]-1.05806[/C][C]-1.81277[/C][/ROW]
[ROW][C]117[/C][C]102[/C][C]100.606[/C][C]98.0333[/C][C]2.57307[/C][C]1.3936[/C][/ROW]
[ROW][C]118[/C][C]103.2[/C][C]104.429[/C][C]98.275[/C][C]6.15419[/C][C]-1.22919[/C][/ROW]
[ROW][C]119[/C][C]98[/C][C]99.8346[/C][C]98.2958[/C][C]1.53875[/C][C]-1.83459[/C][/ROW]
[ROW][C]120[/C][C]101.1[/C][C]99.6032[/C][C]98.4292[/C][C]1.17405[/C][C]1.49679[/C][/ROW]
[ROW][C]121[/C][C]88.2[/C][C]93.6929[/C][C]98.475[/C][C]-4.78208[/C][C]-5.49292[/C][/ROW]
[ROW][C]122[/C][C]90.3[/C][C]90.9645[/C][C]98.5708[/C][C]-7.60634[/C][C]-0.664489[/C][/ROW]
[ROW][C]123[/C][C]105.5[/C][C]101.214[/C][C]98.8208[/C][C]2.3931[/C][C]4.28606[/C][/ROW]
[ROW][C]124[/C][C]99.4[/C][C]98.2009[/C][C]98.9458[/C][C]-0.744917[/C][C]1.19908[/C][/ROW]
[ROW][C]125[/C][C]94.3[/C][C]98.9658[/C][C]99.3125[/C][C]-0.34674[/C][C]-4.66576[/C][/ROW]
[ROW][C]126[/C][C]105.9[/C][C]102.378[/C][C]99.8167[/C][C]2.56107[/C][C]3.52226[/C][/ROW]
[ROW][C]127[/C][C]98[/C][C]98.5272[/C][C]100.383[/C][C]-1.8561[/C][C]-0.527234[/C][/ROW]
[ROW][C]128[/C][C]99[/C][C]99.9211[/C][C]100.979[/C][C]-1.05806[/C][C]-0.921107[/C][/ROW]
[ROW][C]129[/C][C]103.9[/C][C]103.973[/C][C]101.4[/C][C]2.57307[/C][C]-0.0730673[/C][/ROW]
[ROW][C]130[/C][C]104.3[/C][C]107.904[/C][C]101.75[/C][C]6.15419[/C][C]-3.60419[/C][/ROW]
[ROW][C]131[/C][C]105.7[/C][C]104.085[/C][C]102.546[/C][C]1.53875[/C][C]1.61541[/C][/ROW]
[ROW][C]132[/C][C]105.5[/C][C]104.307[/C][C]103.133[/C][C]1.17405[/C][C]1.19262[/C][/ROW]
[ROW][C]133[/C][C]97.4[/C][C]98.2221[/C][C]103.004[/C][C]-4.78208[/C][C]-0.822087[/C][/ROW]
[ROW][C]134[/C][C]95.4[/C][C]95.6103[/C][C]103.217[/C][C]-7.60634[/C][C]-0.210322[/C][/ROW]
[ROW][C]135[/C][C]110.5[/C][C]106.193[/C][C]103.8[/C][C]2.3931[/C][C]4.3069[/C][/ROW]
[ROW][C]136[/C][C]102.8[/C][C]103.538[/C][C]104.283[/C][C]-0.744917[/C][C]-0.738417[/C][/ROW]
[ROW][C]137[/C][C]110[/C][C]104.253[/C][C]104.6[/C][C]-0.34674[/C][C]5.74674[/C][/ROW]
[ROW][C]138[/C][C]104.3[/C][C]107.394[/C][C]104.833[/C][C]2.56107[/C][C]-3.09441[/C][/ROW]
[ROW][C]139[/C][C]96.5[/C][C]103.273[/C][C]105.129[/C][C]-1.8561[/C][C]-6.77307[/C][/ROW]
[ROW][C]140[/C][C]105.6[/C][C]104.567[/C][C]105.625[/C][C]-1.05806[/C][C]1.03306[/C][/ROW]
[ROW][C]141[/C][C]111.3[/C][C]108.502[/C][C]105.929[/C][C]2.57307[/C][C]2.79777[/C][/ROW]
[ROW][C]142[/C][C]108.5[/C][C]112.05[/C][C]105.896[/C][C]6.15419[/C][C]-3.55003[/C][/ROW]
[ROW][C]143[/C][C]109.1[/C][C]107.343[/C][C]105.804[/C][C]1.53875[/C][C]1.75708[/C][/ROW]
[ROW][C]144[/C][C]107.7[/C][C]107.232[/C][C]106.058[/C][C]1.17405[/C][C]0.467619[/C][/ROW]
[ROW][C]145[/C][C]102.3[/C][C]101.889[/C][C]106.671[/C][C]-4.78208[/C][C]0.411246[/C][/ROW]
[ROW][C]146[/C][C]102.4[/C][C]99.5562[/C][C]107.162[/C][C]-7.60634[/C][C]2.84384[/C][/ROW]
[ROW][C]147[/C][C]110.8[/C][C]109.547[/C][C]107.154[/C][C]2.3931[/C][C]1.25273[/C][/ROW]
[ROW][C]148[/C][C]101.7[/C][C]106.634[/C][C]107.379[/C][C]-0.744917[/C][C]-4.93425[/C][/ROW]
[ROW][C]149[/C][C]108.9[/C][C]107.557[/C][C]107.904[/C][C]-0.34674[/C][C]1.34257[/C][/ROW]
[ROW][C]150[/C][C]111.5[/C][C]110.465[/C][C]107.904[/C][C]2.56107[/C][C]1.03476[/C][/ROW]
[ROW][C]151[/C][C]104[/C][C]106.044[/C][C]107.9[/C][C]-1.8561[/C][C]-2.0439[/C][/ROW]
[ROW][C]152[/C][C]109.9[/C][C]106.704[/C][C]107.762[/C][C]-1.05806[/C][C]3.19556[/C][/ROW]
[ROW][C]153[/C][C]106.8[/C][C]109.902[/C][C]107.329[/C][C]2.57307[/C][C]-3.10223[/C][/ROW]
[ROW][C]154[/C][C]118.4[/C][C]113.458[/C][C]107.304[/C][C]6.15419[/C][C]4.94164[/C][/ROW]
[ROW][C]155[/C][C]111.8[/C][C]109.022[/C][C]107.483[/C][C]1.53875[/C][C]2.77791[/C][/ROW]
[ROW][C]156[/C][C]105[/C][C]108.407[/C][C]107.233[/C][C]1.17405[/C][C]-3.40738[/C][/ROW]
[ROW][C]157[/C][C]104.9[/C][C]102.497[/C][C]107.279[/C][C]-4.78208[/C][C]2.40291[/C][/ROW]
[ROW][C]158[/C][C]96.5[/C][C]99.702[/C][C]107.308[/C][C]-7.60634[/C][C]-3.20199[/C][/ROW]
[ROW][C]159[/C][C]106.3[/C][C]109.406[/C][C]107.012[/C][C]2.3931[/C][C]-3.1056[/C][/ROW]
[ROW][C]160[/C][C]105.6[/C][C]106.088[/C][C]106.833[/C][C]-0.744917[/C][C]-0.488417[/C][/ROW]
[ROW][C]161[/C][C]109.3[/C][C]106.024[/C][C]106.371[/C][C]-0.34674[/C][C]3.27591[/C][/ROW]
[ROW][C]162[/C][C]105.1[/C][C]108.657[/C][C]106.096[/C][C]2.56107[/C][C]-3.55691[/C][/ROW]
[ROW][C]163[/C][C]111.5[/C][C]104.077[/C][C]105.933[/C][C]-1.8561[/C][C]7.42277[/C][/ROW]
[ROW][C]164[/C][C]103.1[/C][C]104.688[/C][C]105.746[/C][C]-1.05806[/C][C]-1.58777[/C][/ROW]
[ROW][C]165[/C][C]106.5[/C][C]108.265[/C][C]105.692[/C][C]2.57307[/C][C]-1.76473[/C][/ROW]
[ROW][C]166[/C][C]114.4[/C][C]111.913[/C][C]105.758[/C][C]6.15419[/C][C]2.48747[/C][/ROW]
[ROW][C]167[/C][C]104.7[/C][C]107.264[/C][C]105.725[/C][C]1.53875[/C][C]-2.56375[/C][/ROW]
[ROW][C]168[/C][C]105.5[/C][C]106.912[/C][C]105.738[/C][C]1.17405[/C][C]-1.41155[/C][/ROW]
[ROW][C]169[/C][C]100.5[/C][C]100.939[/C][C]105.721[/C][C]-4.78208[/C][C]-0.438754[/C][/ROW]
[ROW][C]170[/C][C]96.4[/C][C]97.8728[/C][C]105.479[/C][C]-7.60634[/C][C]-1.47282[/C][/ROW]
[ROW][C]171[/C][C]105.1[/C][C]108.068[/C][C]105.675[/C][C]2.3931[/C][C]-2.9681[/C][/ROW]
[ROW][C]172[/C][C]108.4[/C][C]105.251[/C][C]105.996[/C][C]-0.744917[/C][C]3.14908[/C][/ROW]
[ROW][C]173[/C][C]105.7[/C][C]105.724[/C][C]106.071[/C][C]-0.34674[/C][C]-0.0240936[/C][/ROW]
[ROW][C]174[/C][C]109[/C][C]108.849[/C][C]106.287[/C][C]2.56107[/C][C]0.151427[/C][/ROW]
[ROW][C]175[/C][C]107.2[/C][C]104.652[/C][C]106.508[/C][C]-1.8561[/C][C]2.54777[/C][/ROW]
[ROW][C]176[/C][C]101.6[/C][C]105.554[/C][C]106.612[/C][C]-1.05806[/C][C]-3.95444[/C][/ROW]
[ROW][C]177[/C][C]112.7[/C][C]109.531[/C][C]106.958[/C][C]2.57307[/C][C]3.1686[/C][/ROW]
[ROW][C]178[/C][C]115.9[/C][C]113.421[/C][C]107.267[/C][C]6.15419[/C][C]2.47914[/C][/ROW]
[ROW][C]179[/C][C]105[/C][C]108.76[/C][C]107.221[/C][C]1.53875[/C][C]-3.75959[/C][/ROW]
[ROW][C]180[/C][C]110.4[/C][C]108.578[/C][C]107.404[/C][C]1.17405[/C][C]1.82179[/C][/ROW]
[ROW][C]181[/C][C]100.9[/C][C]103.035[/C][C]107.817[/C][C]-4.78208[/C][C]-2.13459[/C][/ROW]
[ROW][C]182[/C][C]98.5[/C][C]100.494[/C][C]108.1[/C][C]-7.60634[/C][C]-1.99366[/C][/ROW]
[ROW][C]183[/C][C]111.3[/C][C]110.664[/C][C]108.271[/C][C]2.3931[/C][C]0.636063[/C][/ROW]
[ROW][C]184[/C][C]109.6[/C][C]107.609[/C][C]108.354[/C][C]-0.744917[/C][C]1.99075[/C][/ROW]
[ROW][C]185[/C][C]103.4[/C][C]108.374[/C][C]108.721[/C][C]-0.34674[/C][C]-4.97409[/C][/ROW]
[ROW][C]186[/C][C]115.7[/C][C]111.732[/C][C]109.171[/C][C]2.56107[/C][C]3.96809[/C][/ROW]
[ROW][C]187[/C][C]110.4[/C][C]107.515[/C][C]109.371[/C][C]-1.8561[/C][C]2.88527[/C][/ROW]
[ROW][C]188[/C][C]105.2[/C][C]108.717[/C][C]109.775[/C][C]-1.05806[/C][C]-3.51694[/C][/ROW]
[ROW][C]189[/C][C]113.2[/C][C]112.977[/C][C]110.404[/C][C]2.57307[/C][C]0.222766[/C][/ROW]
[ROW][C]190[/C][C]117.4[/C][C]117.013[/C][C]110.858[/C][C]6.15419[/C][C]0.387472[/C][/ROW]
[ROW][C]191[/C][C]112.3[/C][C]113.051[/C][C]111.512[/C][C]1.53875[/C][C]-0.751254[/C][/ROW]
[ROW][C]192[/C][C]113.9[/C][C]113.295[/C][C]112.121[/C][C]1.17405[/C][C]0.605119[/C][/ROW]
[ROW][C]193[/C][C]102.2[/C][C]107.297[/C][C]112.079[/C][C]-4.78208[/C][C]-5.09709[/C][/ROW]
[ROW][C]194[/C][C]106.9[/C][C]104.677[/C][C]112.283[/C][C]-7.60634[/C][C]2.22301[/C][/ROW]
[ROW][C]195[/C][C]118[/C][C]115.222[/C][C]112.829[/C][C]2.3931[/C][C]2.77773[/C][/ROW]
[ROW][C]196[/C][C]113.8[/C][C]112.143[/C][C]112.887[/C][C]-0.744917[/C][C]1.65742[/C][/ROW]
[ROW][C]197[/C][C]114.9[/C][C]112.624[/C][C]112.971[/C][C]-0.34674[/C][C]2.27591[/C][/ROW]
[ROW][C]198[/C][C]118.8[/C][C]115.84[/C][C]113.279[/C][C]2.56107[/C][C]2.95976[/C][/ROW]
[ROW][C]199[/C][C]106.3[/C][C]111.715[/C][C]113.571[/C][C]-1.8561[/C][C]-5.41473[/C][/ROW]
[ROW][C]200[/C][C]114.2[/C][C]112.642[/C][C]113.7[/C][C]-1.05806[/C][C]1.55806[/C][/ROW]
[ROW][C]201[/C][C]117.3[/C][C]116.348[/C][C]113.775[/C][C]2.57307[/C][C]0.951933[/C][/ROW]
[ROW][C]202[/C][C]114.7[/C][C]119.804[/C][C]113.65[/C][C]6.15419[/C][C]-5.10419[/C][/ROW]
[ROW][C]203[/C][C]117[/C][C]115.139[/C][C]113.6[/C][C]1.53875[/C][C]1.86125[/C][/ROW]
[ROW][C]204[/C][C]116.6[/C][C]115.066[/C][C]113.892[/C][C]1.17405[/C][C]1.53429[/C][/ROW]
[ROW][C]205[/C][C]106.5[/C][C]109.305[/C][C]114.088[/C][C]-4.78208[/C][C]-2.80542[/C][/ROW]
[ROW][C]206[/C][C]105.7[/C][C]106.619[/C][C]114.225[/C][C]-7.60634[/C][C]-0.918656[/C][/ROW]
[ROW][C]207[/C][C]121[/C][C]NA[/C][C]NA[/C][C]2.3931[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]107.8[/C][C]NA[/C][C]NA[/C][C]-0.744917[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]119.7[/C][C]NA[/C][C]NA[/C][C]-0.34674[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]121[/C][C]NA[/C][C]NA[/C][C]2.56107[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]108.8[/C][C]NA[/C][C]NA[/C][C]-1.8561[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]115[/C][C]NA[/C][C]NA[/C][C]-1.05806[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310374&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
157.7NANA-4.78208NA
260.1NANA-7.60634NA
366.5NANA2.3931NA
463.4NANA-0.744917NA
571.4NANA-0.34674NA
668.5NANA2.56107NA
761.665.706467.5625-1.8561-4.1064
868.367.058668.1167-1.058061.24139
969.371.110668.53752.57307-1.81057
1076.175.133468.97926.154190.966639
1173.370.813869.2751.538752.48625
1269.770.757469.58331.17405-1.05738
1367.465.405470.1875-4.782081.99458
1463.763.306270.9125-7.606340.393844
157373.743171.352.3931-0.743104
1667.570.900971.6458-0.744917-3.40092
1774.471.549171.8958-0.346742.85091
1872.974.598672.03752.56107-1.69857
1971.770.368972.225-1.85611.3311
2075.671.458672.5167-1.058064.14139
2172.575.293972.72082.57307-2.7939
228079.158473.00426.154190.841639
2375.474.763873.2251.538750.636246
247174.386573.21251.17405-3.38655
2570.668.530473.3125-4.782082.06958
2667.565.693773.3-7.606341.80634
2774.175.730673.33752.3931-1.6306
2873.272.809273.5542-0.7449170.39075
297473.199173.5458-0.346740.800906
307376.277773.71672.56107-3.27774
317472.235674.0917-1.85611.76443
327373.279474.3375-1.05806-0.27944
337677.056474.48332.57307-1.0564
3481.780.812574.65836.154190.887472
3573.576.292974.75421.53875-2.79292
367775.99974.8251.174051.00095
3773.670.313875.0958-4.782083.28625
3870.467.660375.2667-7.606342.73968
3974.777.788975.39582.3931-3.08894
4076.874.863475.6083-0.7449171.93658
4172.775.407475.7542-0.34674-2.70743
427678.415275.85422.56107-2.41524
4377.574.023175.8792-1.85613.47693
4473.674.821175.8792-1.05806-1.22111
4578.578.893976.32082.57307-0.393901
4684.382.97576.82086.154191.32497
4774.478.601377.06251.53875-4.20125
4878.578.753277.57921.17405-0.253214
4972.773.151377.9333-4.78208-0.451254
5071.370.522878.1292-7.606340.777178
5184.480.993178.62.39313.4069
5279.178.088478.8333-0.7449171.01158
5376.278.799179.1458-0.34674-2.59909
5484.982.323679.76252.561072.57643
5577.178.323180.1792-1.8561-1.22307
5678.779.296180.3542-1.05806-0.596107
5784.782.914780.34172.573071.78527
5883.786.491780.33756.15419-2.79169
5982.582.126380.58751.538750.373746
6085.282.011580.83751.174053.18845
617676.055480.8375-4.78208-0.0554202
6272.273.40281.0083-7.60634-1.20199
6383.283.751481.35832.3931-0.551437
6480.280.800981.5458-0.744917-0.600917
6581.181.486681.8333-0.34674-0.386594
668684.719482.15832.561071.28059
677680.539782.3958-1.8561-4.53973
6883.981.608682.6667-1.058062.29139
6987.985.535682.96252.573072.36443
708589.258483.10426.15419-4.25836
7188.184.884683.34581.538753.21541
7287.484.919983.74581.174052.48012
7379.579.384684.1667-4.782080.115413
7475.277.035384.6417-7.60634-1.83532
7587.387.259884.86672.39310.0402293
7679.584.534285.2792-0.744917-5.03425
7787.685.453385.8-0.346742.14674
7889.188.502785.94172.561070.597261
798384.423186.2792-1.8561-1.42307
8088.385.808686.8667-1.058062.49139
8188.989.948187.3752.57307-1.04807
8293.994.129287.9756.15419-0.229195
8391.790.005488.46671.538751.69458
8487.289.994988.82081.17405-2.79488
8587.884.505489.2875-4.782083.29458
868182.160389.7667-7.60634-1.16032
8793.792.530690.13752.39311.1694
8887.589.980190.725-0.744917-2.48008
8991.491.144991.4917-0.346740.255073
9093.894.652792.09172.56107-0.852739
9189.590.960692.8167-1.8561-1.46057
9293.392.733693.7917-1.058060.566393
9392.896.956494.38332.57307-4.1564
94104.1101.2595.09586.154192.84997
9599.997.572196.03331.538752.32791
9693.497.690796.51671.17405-4.29071
979992.409697.1917-4.782086.59041
9893.290.15297.7583-7.606343.04801
9995.7100.71498.32082.3931-5.01394
100102.698.250998.9958-0.7449174.34908
10198.898.707499.0542-0.346740.092573
10298101.86599.30422.56107-3.86524
103101.597.477299.3333-1.85614.02277
10494.997.783698.8417-1.05806-2.88361
105104.7101.4498.86672.573073.26027
106108.4105.05498.96.154193.34581
10797100.09798.55831.53875-3.09709
108102.399.740798.56671.174052.55929
10990.893.922198.7042-4.78208-3.12209
11089.691.02798.6333-7.60634-1.42699
11199.9100.91498.52082.3931-1.01394
11299.297.446798.1917-0.7449171.75325
1139497.669998.0167-0.34674-3.66993
114103100.56998.00832.561072.43059
11599.895.993997.85-1.85613.8061
11694.996.712897.7708-1.05806-1.81277
117102100.60698.03332.573071.3936
118103.2104.42998.2756.15419-1.22919
1199899.834698.29581.53875-1.83459
120101.199.603298.42921.174051.49679
12188.293.692998.475-4.78208-5.49292
12290.390.964598.5708-7.60634-0.664489
123105.5101.21498.82082.39314.28606
12499.498.200998.9458-0.7449171.19908
12594.398.965899.3125-0.34674-4.66576
126105.9102.37899.81672.561073.52226
1279898.5272100.383-1.8561-0.527234
1289999.9211100.979-1.05806-0.921107
129103.9103.973101.42.57307-0.0730673
130104.3107.904101.756.15419-3.60419
131105.7104.085102.5461.538751.61541
132105.5104.307103.1331.174051.19262
13397.498.2221103.004-4.78208-0.822087
13495.495.6103103.217-7.60634-0.210322
135110.5106.193103.82.39314.3069
136102.8103.538104.283-0.744917-0.738417
137110104.253104.6-0.346745.74674
138104.3107.394104.8332.56107-3.09441
13996.5103.273105.129-1.8561-6.77307
140105.6104.567105.625-1.058061.03306
141111.3108.502105.9292.573072.79777
142108.5112.05105.8966.15419-3.55003
143109.1107.343105.8041.538751.75708
144107.7107.232106.0581.174050.467619
145102.3101.889106.671-4.782080.411246
146102.499.5562107.162-7.606342.84384
147110.8109.547107.1542.39311.25273
148101.7106.634107.379-0.744917-4.93425
149108.9107.557107.904-0.346741.34257
150111.5110.465107.9042.561071.03476
151104106.044107.9-1.8561-2.0439
152109.9106.704107.762-1.058063.19556
153106.8109.902107.3292.57307-3.10223
154118.4113.458107.3046.154194.94164
155111.8109.022107.4831.538752.77791
156105108.407107.2331.17405-3.40738
157104.9102.497107.279-4.782082.40291
15896.599.702107.308-7.60634-3.20199
159106.3109.406107.0122.3931-3.1056
160105.6106.088106.833-0.744917-0.488417
161109.3106.024106.371-0.346743.27591
162105.1108.657106.0962.56107-3.55691
163111.5104.077105.933-1.85617.42277
164103.1104.688105.746-1.05806-1.58777
165106.5108.265105.6922.57307-1.76473
166114.4111.913105.7586.154192.48747
167104.7107.264105.7251.53875-2.56375
168105.5106.912105.7381.17405-1.41155
169100.5100.939105.721-4.78208-0.438754
17096.497.8728105.479-7.60634-1.47282
171105.1108.068105.6752.3931-2.9681
172108.4105.251105.996-0.7449173.14908
173105.7105.724106.071-0.34674-0.0240936
174109108.849106.2872.561070.151427
175107.2104.652106.508-1.85612.54777
176101.6105.554106.612-1.05806-3.95444
177112.7109.531106.9582.573073.1686
178115.9113.421107.2676.154192.47914
179105108.76107.2211.53875-3.75959
180110.4108.578107.4041.174051.82179
181100.9103.035107.817-4.78208-2.13459
18298.5100.494108.1-7.60634-1.99366
183111.3110.664108.2712.39310.636063
184109.6107.609108.354-0.7449171.99075
185103.4108.374108.721-0.34674-4.97409
186115.7111.732109.1712.561073.96809
187110.4107.515109.371-1.85612.88527
188105.2108.717109.775-1.05806-3.51694
189113.2112.977110.4042.573070.222766
190117.4117.013110.8586.154190.387472
191112.3113.051111.5121.53875-0.751254
192113.9113.295112.1211.174050.605119
193102.2107.297112.079-4.78208-5.09709
194106.9104.677112.283-7.606342.22301
195118115.222112.8292.39312.77773
196113.8112.143112.887-0.7449171.65742
197114.9112.624112.971-0.346742.27591
198118.8115.84113.2792.561072.95976
199106.3111.715113.571-1.8561-5.41473
200114.2112.642113.7-1.058061.55806
201117.3116.348113.7752.573070.951933
202114.7119.804113.656.15419-5.10419
203117115.139113.61.538751.86125
204116.6115.066113.8921.174051.53429
205106.5109.305114.088-4.78208-2.80542
206105.7106.619114.225-7.60634-0.918656
207121NANA2.3931NA
208107.8NANA-0.744917NA
209119.7NANA-0.34674NA
210121NANA2.56107NA
211108.8NANA-1.8561NA
212115NANA-1.05806NA



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = 0 ; par5 = 0 ; par6 = 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')