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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Tue, 19 Dec 2017 13:55:11 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/19/t1513688172mu82k9moeiqrszn.htm/, Retrieved Thu, 31 Oct 2024 23:01:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310329, Retrieved Thu, 31 Oct 2024 23:01:31 +0000

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-       [Classical Decomposition] [Classical Decompo...] [2017-12-19 12:55:11] [19616f283b6fb6898d2f08fc009ad795] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	Big 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=310329&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=310329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310329&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 Output	view raw output of R engine
Computing time	3 seconds
R Server	Big Analytics Cloud Computing Center

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	63.2	NA	NA	-2.08662	NA
2	68.6	NA	NA	-1.31407	NA
3	77.7	NA	NA	8.30507	NA
4	68.1	NA	NA	-0.0433632	NA
5	75.1	NA	NA	-1.52019	NA
6	73.3	NA	NA	4.98945	NA
7	60.5	61.8776	69.6208	-7.74324	-1.37759
8	65.9	60.7612	69.7708	-9.00966	5.13883
9	77.7	74.2506	69.3167	4.93397	3.44937
10	67.7	73.4259	68.8833	4.54254	-5.72588
11	67.7	68.6602	68.5583	0.101857	-0.960191
12	67.7	66.8609	68.0167	-1.15574	0.839074
13	67.7	65.9967	68.0833	-2.08662	1.70329
14	67.7	67.1443	68.4583	-1.31407	0.555741
15	67.7	76.4217	68.1167	8.30507	-8.72174
16	67.7	67.6566	67.7	-0.0433632	0.0433632
17	67.7	66.1798	67.7	-1.52019	1.52019
18	67.7	72.6894	67.7	4.98945	-4.98945
19	67.7	60.1859	67.9292	-7.74324	7.51407
20	67.7	59.3362	68.3458	-9.00966	8.36383
21	67.7	73.9506	69.0167	4.93397	-6.25063
22	67.7	74.4509	69.9083	4.54254	-6.75088
23	67.7	70.7477	70.6458	0.101857	-3.04769
24	67.7	70.2234	71.3792	-1.15574	-2.52343
25	73.2	69.7592	71.8458	-2.08662	3.44079
26	72.2	70.5693	71.8833	-1.31407	1.63074
27	79.3	80.5884	72.2833	8.30507	-1.28841
28	77.5	73.29	73.3333	-0.0433632	4.21003
29	75.6	72.7715	74.2917	-1.52019	2.82852
30	77.4	79.7144	74.725	4.98945	-2.31445
31	69.2	67.2151	74.9583	-7.74324	1.98491
32	67.1	66.1695	75.1792	-9.00966	0.930496
33	77.9	80.2506	75.3167	4.93397	-2.35063
34	82.7	79.93	75.3875	4.54254	2.76996
35	75.7	75.4227	75.3208	0.101857	0.277309
36	70.1	74.1359	75.2917	-1.15574	-4.03593
37	76.4	73.3467	75.4333	-2.08662	3.05329
38	74.3	74.1651	75.4792	-1.31407	0.134907
39	80.5	83.9467	75.6417	8.30507	-3.44674
40	78	75.8441	75.8875	-0.0433632	2.15586
41	73.5	74.384	75.9042	-1.52019	-0.883981
42	78.8	81.2936	76.3042	4.98945	-2.49362
43	71.2	68.9151	76.6583	-7.74324	2.28491
44	66.2	67.7153	76.725	-9.00966	-1.51534
45	82.7	82.1881	77.2542	4.93397	0.511868
46	83.8	82.3675	77.825	4.54254	1.43246
47	75	78.256	78.1542	0.101857	-3.25602
48	80.4	77.5943	78.75	-1.15574	2.80574
49	74.6	77.3009	79.3875	-2.08662	-2.70088
50	77.7	78.6318	79.9458	-1.31407	-0.931759
51	89.8	88.9217	80.6167	8.30507	0.878259
52	82.4	81.0816	81.125	-0.0433632	1.31836
53	77	80.2923	81.8125	-1.52019	-3.29231
54	89.6	87.6811	82.6917	4.98945	1.91888
55	75.7	75.7401	83.4833	-7.74324	-0.0400927
56	75.1	75.0737	84.0833	-9.00966	0.0263289
57	89.9	89.3048	84.3708	4.93397	0.595201
58	88.8	89.205	84.6625	4.54254	-0.405044
59	86.5	85.1852	85.0833	0.101857	1.31481
60	90	84.2443	85.4	-1.15574	5.75574
61	84	83.3134	85.4	-2.08662	0.686623
62	82.7	83.9984	85.3125	-1.31407	-1.29843
63	91.7	93.7092	85.4042	8.30507	-2.00924
64	87.5	85.3775	85.4208	-0.0433632	2.12253
65	82	83.9965	85.5167	-1.52019	-1.99648
66	92.2	90.7103	85.7208	4.98945	1.48972
67	73.1	78.1818	85.925	-7.74324	-5.08176
68	75.6	77.3028	86.3125	-9.00966	-1.70284
69	91.6	91.859	86.925	4.93397	-0.258965
70	87.5	91.7509	87.2083	4.54254	-4.25088
71	90.1	87.6352	87.5333	0.101857	2.46481
72	91.3	86.9859	88.1417	-1.15574	4.31407
73	87.6	86.4467	88.5333	-2.08662	1.15329
74	88.4	87.6401	88.9542	-1.31407	0.759907
75	100.7	97.6342	89.3292	8.30507	3.06576
76	85.3	89.9316	89.975	-0.0433632	-4.63164
77	92	89.1965	90.7167	-1.52019	2.80352
78	96.8	96.0061	91.0167	4.98945	0.793884
79	77.9	83.5776	91.3208	-7.74324	-5.67759
80	80.9	82.7195	91.7292	-9.00966	-1.8195
81	95.3	96.9381	92.0042	4.93397	-1.63813
82	99.3	96.9675	92.425	4.54254	2.33246
83	96.1	92.981	92.8792	0.101857	3.11898
84	92.5	92.1526	93.3083	-1.15574	0.347407
85	93.7	91.9592	94.0458	-2.08662	1.74079
86	92.1	93.5359	94.85	-1.31407	-1.43593
87	103.6	103.638	95.3333	8.30507	-0.0384076
88	92.5	95.8525	95.8958	-0.0433632	-3.35247
89	95.7	95.0048	96.525	-1.52019	0.695186
90	103.4	101.844	96.8542	4.98945	1.55638
91	89	89.5526	97.2958	-7.74324	-0.552593
92	89.1	89.0237	98.0333	-9.00966	0.0763289
93	98.7	103.384	98.45	4.93397	-4.68397
94	109.4	103.555	99.0125	4.54254	5.84496
95	101.1	99.7894	99.6875	0.101857	1.31064
96	95.4	98.7776	99.9333	-1.15574	-3.37759
97	101.4	98.2634	100.35	-2.08662	3.13662
98	102.1	99.2401	100.554	-1.31407	2.85991
99	103.6	109.188	100.883	8.30507	-5.58841
100	106	101.148	101.192	-0.0433632	4.8517
101	98.4	99.1923	100.712	-1.52019	-0.792314
102	106.6	105.302	100.312	4.98945	1.29805
103	95.8	91.8401	99.5833	-7.74324	3.95991
104	87.2	89.1528	98.1625	-9.00966	-1.95284
105	108.5	101.984	97.05	4.93397	6.51603
106	107	100.297	95.7542	4.54254	6.70329
107	92	94.5352	94.4333	0.101857	-2.53519
108	94.9	92.2484	93.4042	-1.15574	2.65157
109	84.4	90.1009	92.1875	-2.08662	-5.70088
110	85	90.0109	91.325	-1.31407	-5.01093
111	94	98.8634	90.5583	8.30507	-4.86341
112	84.5	89.5108	89.5542	-0.0433632	-5.0108
113	88.2	87.5506	89.0708	-1.52019	0.649353
114	92.1	93.9311	88.9417	4.98945	-1.83112
115	81.1	81.3109	89.0542	-7.74324	-0.210926
116	81.2	80.7528	89.7625	-9.00966	0.447162
117	96.1	95.7715	90.8375	4.93397	0.328535
118	95.3	96.4675	91.925	4.54254	-1.16754
119	92.1	92.7894	92.6875	0.101857	-0.689357
120	91.7	92.5401	93.6958	-1.15574	-0.840093
121	90.3	92.7509	94.8375	-2.08662	-2.45088
122	96.1	94.3693	95.6833	-1.31407	1.73074
123	108.7	104.884	96.5792	8.30507	3.81576
124	95.9	97.4358	97.4792	-0.0433632	-1.5358
125	95.1	96.9381	98.4583	-1.52019	-1.83815
126	109.4	104.498	99.5083	4.98945	4.90222
127	91.2	92.6484	100.392	-7.74324	-1.44843
128	91.4	92.0612	101.071	-9.00966	-0.661171
129	107.4	106.901	101.967	4.93397	0.499368
130	105.6	107.372	102.829	4.54254	-1.77171
131	105.3	103.814	103.712	0.101857	1.48564
132	103.7	103.044	104.2	-1.15574	0.655741
133	99.5	101.984	104.071	-2.08662	-2.48421
134	103.2	103.09	104.404	-1.31407	0.109907
135	123.1	113.222	104.917	8.30507	9.87826
136	102.2	105.007	105.05	-0.0433632	-2.80664
137	110	103.359	104.879	-1.52019	6.64102
138	106.2	109.635	104.646	4.98945	-3.43528
139	91.3	96.8359	104.579	-7.74324	-5.53593
140	99.3	95.6695	104.679	-9.00966	3.6305
141	111.8	109.43	104.496	4.93397	2.3702
142	104.4	108.601	104.058	4.54254	-4.20088
143	102.4	103.523	103.421	0.101857	-1.12269
144	101	101.836	102.992	-1.15574	-0.835926
145	100.6	101.076	103.162	-2.08662	-0.475877
146	104.5	101.79	103.104	-1.31407	2.70991
147	117.4	110.868	102.562	8.30507	6.53243
148	97.4	102.257	102.3	-0.0433632	-4.85664
149	99.5	100.784	102.304	-1.52019	-1.28398
150	106.4	106.927	101.937	4.98945	-0.526949
151	95.2	93.7693	101.512	-7.74324	1.43074
152	94	92.0695	101.079	-9.00966	1.9305
153	104.1	105.317	100.383	4.93397	-1.2173
154	105.8	104.805	100.262	4.54254	0.994956
155	101.1	100.694	100.592	0.101857	0.406476
156	93.5	99.5526	100.708	-1.15574	-6.05259
157	97.9	98.8925	100.979	-2.08662	-0.992544
158	96.8	99.7734	101.087	-1.31407	-2.97343
159	108.4	109.309	101.004	8.30507	-0.909241
160	103.5	101.29	101.333	-0.0433632	2.21003
161	101.3	100.292	101.812	-1.52019	1.00769
162	107.4	107.302	102.312	4.98945	0.0980507
163	100.7	95.0484	102.792	-7.74324	5.65157
164	91.1	94.2278	103.238	-9.00966	-3.12784
165	105	108.496	103.562	4.93397	-3.49647
166	112.8	108.213	103.671	4.54254	4.58662
167	105.6	103.902	103.8	0.101857	1.69814
168	101	102.757	103.912	-1.15574	-1.75676
169	101.9	101.713	103.8	-2.08662	0.186623
170	103.5	102.215	103.529	-1.31407	1.28491
171	109.5	112.03	103.725	8.30507	-2.53007
172	105	103.927	103.971	-0.0433632	1.07253
173	102.9	102.221	103.742	-1.52019	0.678519
174	108.5	108.573	103.583	4.98945	-0.0727826
175	96.9	95.8443	103.588	-7.74324	1.05574
176	88.4	94.3778	103.388	-9.00966	-5.97784
177	112.4	108.33	103.396	4.93397	4.0702
178	111.3	108.122	103.579	4.54254	3.17829
179	101.6	103.439	103.338	0.101857	-1.83936
180	101.2	101.986	103.142	-1.15574	-0.785926
181	101.8	100.98	103.067	-2.08662	0.819956
182	98.8	101.736	103.05	-1.31407	-2.93593
183	114.4	111.413	103.108	8.30507	2.98659
184	104.5	103.007	103.05	-0.0433632	1.49336
185	97.6	101.713	103.233	-1.52019	-4.11315
186	109.1	108.464	103.475	4.98945	0.635551
187	94.5	95.8359	103.579	-7.74324	-1.33593
188	90.4	95.007	104.017	-9.00966	-4.607
189	111.8	109.438	104.504	4.93397	2.36187
190	110.5	109.388	104.846	4.54254	1.11162
191	106.8	105.377	105.275	0.101857	1.42314
192	101.8	104.603	105.758	-1.15574	-2.80259
193	103.7	104.076	106.162	-2.08662	-0.375877
194	107.4	105.394	106.708	-1.31407	2.00574
195	117.5	115.468	107.162	8.30507	2.03243
196	109.6	107.09	107.133	-0.0433632	2.51003
197	102.8	105.63	107.15	-1.52019	-2.82981
198	115.5	112.735	107.746	4.98945	2.76472
199	97.8	100.64	108.383	-7.74324	-2.84009
200	100.2	99.5987	108.608	-9.00966	0.601329
201	112.9	113.926	108.992	4.93397	-1.02563
202	108.7	113.601	109.058	4.54254	-4.90088
203	109	109.269	109.167	0.101857	-0.268524
204	113.9	108.478	109.633	-1.15574	5.42241
205	106.9	107.859	109.946	-2.08662	-0.95921
206	109.6	109.015	110.329	-1.31407	0.584907
207	124.5	NA	NA	8.30507	NA
208	104.2	NA	NA	-0.0433632	NA
209	110.8	NA	NA	-1.52019	NA
210	118.7	NA	NA	4.98945	NA
211	102.1	NA	NA	-7.74324	NA
212	105.1	NA	NA	-9.00966	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 63.2 & NA & NA & -2.08662 & NA \tabularnewline
2 & 68.6 & NA & NA & -1.31407 & NA \tabularnewline
3 & 77.7 & NA & NA & 8.30507 & NA \tabularnewline
4 & 68.1 & NA & NA & -0.0433632 & NA \tabularnewline
5 & 75.1 & NA & NA & -1.52019 & NA \tabularnewline
6 & 73.3 & NA & NA & 4.98945 & NA \tabularnewline
7 & 60.5 & 61.8776 & 69.6208 & -7.74324 & -1.37759 \tabularnewline
8 & 65.9 & 60.7612 & 69.7708 & -9.00966 & 5.13883 \tabularnewline
9 & 77.7 & 74.2506 & 69.3167 & 4.93397 & 3.44937 \tabularnewline
10 & 67.7 & 73.4259 & 68.8833 & 4.54254 & -5.72588 \tabularnewline
11 & 67.7 & 68.6602 & 68.5583 & 0.101857 & -0.960191 \tabularnewline
12 & 67.7 & 66.8609 & 68.0167 & -1.15574 & 0.839074 \tabularnewline
13 & 67.7 & 65.9967 & 68.0833 & -2.08662 & 1.70329 \tabularnewline
14 & 67.7 & 67.1443 & 68.4583 & -1.31407 & 0.555741 \tabularnewline
15 & 67.7 & 76.4217 & 68.1167 & 8.30507 & -8.72174 \tabularnewline
16 & 67.7 & 67.6566 & 67.7 & -0.0433632 & 0.0433632 \tabularnewline
17 & 67.7 & 66.1798 & 67.7 & -1.52019 & 1.52019 \tabularnewline
18 & 67.7 & 72.6894 & 67.7 & 4.98945 & -4.98945 \tabularnewline
19 & 67.7 & 60.1859 & 67.9292 & -7.74324 & 7.51407 \tabularnewline
20 & 67.7 & 59.3362 & 68.3458 & -9.00966 & 8.36383 \tabularnewline
21 & 67.7 & 73.9506 & 69.0167 & 4.93397 & -6.25063 \tabularnewline
22 & 67.7 & 74.4509 & 69.9083 & 4.54254 & -6.75088 \tabularnewline
23 & 67.7 & 70.7477 & 70.6458 & 0.101857 & -3.04769 \tabularnewline
24 & 67.7 & 70.2234 & 71.3792 & -1.15574 & -2.52343 \tabularnewline
25 & 73.2 & 69.7592 & 71.8458 & -2.08662 & 3.44079 \tabularnewline
26 & 72.2 & 70.5693 & 71.8833 & -1.31407 & 1.63074 \tabularnewline
27 & 79.3 & 80.5884 & 72.2833 & 8.30507 & -1.28841 \tabularnewline
28 & 77.5 & 73.29 & 73.3333 & -0.0433632 & 4.21003 \tabularnewline
29 & 75.6 & 72.7715 & 74.2917 & -1.52019 & 2.82852 \tabularnewline
30 & 77.4 & 79.7144 & 74.725 & 4.98945 & -2.31445 \tabularnewline
31 & 69.2 & 67.2151 & 74.9583 & -7.74324 & 1.98491 \tabularnewline
32 & 67.1 & 66.1695 & 75.1792 & -9.00966 & 0.930496 \tabularnewline
33 & 77.9 & 80.2506 & 75.3167 & 4.93397 & -2.35063 \tabularnewline
34 & 82.7 & 79.93 & 75.3875 & 4.54254 & 2.76996 \tabularnewline
35 & 75.7 & 75.4227 & 75.3208 & 0.101857 & 0.277309 \tabularnewline
36 & 70.1 & 74.1359 & 75.2917 & -1.15574 & -4.03593 \tabularnewline
37 & 76.4 & 73.3467 & 75.4333 & -2.08662 & 3.05329 \tabularnewline
38 & 74.3 & 74.1651 & 75.4792 & -1.31407 & 0.134907 \tabularnewline
39 & 80.5 & 83.9467 & 75.6417 & 8.30507 & -3.44674 \tabularnewline
40 & 78 & 75.8441 & 75.8875 & -0.0433632 & 2.15586 \tabularnewline
41 & 73.5 & 74.384 & 75.9042 & -1.52019 & -0.883981 \tabularnewline
42 & 78.8 & 81.2936 & 76.3042 & 4.98945 & -2.49362 \tabularnewline
43 & 71.2 & 68.9151 & 76.6583 & -7.74324 & 2.28491 \tabularnewline
44 & 66.2 & 67.7153 & 76.725 & -9.00966 & -1.51534 \tabularnewline
45 & 82.7 & 82.1881 & 77.2542 & 4.93397 & 0.511868 \tabularnewline
46 & 83.8 & 82.3675 & 77.825 & 4.54254 & 1.43246 \tabularnewline
47 & 75 & 78.256 & 78.1542 & 0.101857 & -3.25602 \tabularnewline
48 & 80.4 & 77.5943 & 78.75 & -1.15574 & 2.80574 \tabularnewline
49 & 74.6 & 77.3009 & 79.3875 & -2.08662 & -2.70088 \tabularnewline
50 & 77.7 & 78.6318 & 79.9458 & -1.31407 & -0.931759 \tabularnewline
51 & 89.8 & 88.9217 & 80.6167 & 8.30507 & 0.878259 \tabularnewline
52 & 82.4 & 81.0816 & 81.125 & -0.0433632 & 1.31836 \tabularnewline
53 & 77 & 80.2923 & 81.8125 & -1.52019 & -3.29231 \tabularnewline
54 & 89.6 & 87.6811 & 82.6917 & 4.98945 & 1.91888 \tabularnewline
55 & 75.7 & 75.7401 & 83.4833 & -7.74324 & -0.0400927 \tabularnewline
56 & 75.1 & 75.0737 & 84.0833 & -9.00966 & 0.0263289 \tabularnewline
57 & 89.9 & 89.3048 & 84.3708 & 4.93397 & 0.595201 \tabularnewline
58 & 88.8 & 89.205 & 84.6625 & 4.54254 & -0.405044 \tabularnewline
59 & 86.5 & 85.1852 & 85.0833 & 0.101857 & 1.31481 \tabularnewline
60 & 90 & 84.2443 & 85.4 & -1.15574 & 5.75574 \tabularnewline
61 & 84 & 83.3134 & 85.4 & -2.08662 & 0.686623 \tabularnewline
62 & 82.7 & 83.9984 & 85.3125 & -1.31407 & -1.29843 \tabularnewline
63 & 91.7 & 93.7092 & 85.4042 & 8.30507 & -2.00924 \tabularnewline
64 & 87.5 & 85.3775 & 85.4208 & -0.0433632 & 2.12253 \tabularnewline
65 & 82 & 83.9965 & 85.5167 & -1.52019 & -1.99648 \tabularnewline
66 & 92.2 & 90.7103 & 85.7208 & 4.98945 & 1.48972 \tabularnewline
67 & 73.1 & 78.1818 & 85.925 & -7.74324 & -5.08176 \tabularnewline
68 & 75.6 & 77.3028 & 86.3125 & -9.00966 & -1.70284 \tabularnewline
69 & 91.6 & 91.859 & 86.925 & 4.93397 & -0.258965 \tabularnewline
70 & 87.5 & 91.7509 & 87.2083 & 4.54254 & -4.25088 \tabularnewline
71 & 90.1 & 87.6352 & 87.5333 & 0.101857 & 2.46481 \tabularnewline
72 & 91.3 & 86.9859 & 88.1417 & -1.15574 & 4.31407 \tabularnewline
73 & 87.6 & 86.4467 & 88.5333 & -2.08662 & 1.15329 \tabularnewline
74 & 88.4 & 87.6401 & 88.9542 & -1.31407 & 0.759907 \tabularnewline
75 & 100.7 & 97.6342 & 89.3292 & 8.30507 & 3.06576 \tabularnewline
76 & 85.3 & 89.9316 & 89.975 & -0.0433632 & -4.63164 \tabularnewline
77 & 92 & 89.1965 & 90.7167 & -1.52019 & 2.80352 \tabularnewline
78 & 96.8 & 96.0061 & 91.0167 & 4.98945 & 0.793884 \tabularnewline
79 & 77.9 & 83.5776 & 91.3208 & -7.74324 & -5.67759 \tabularnewline
80 & 80.9 & 82.7195 & 91.7292 & -9.00966 & -1.8195 \tabularnewline
81 & 95.3 & 96.9381 & 92.0042 & 4.93397 & -1.63813 \tabularnewline
82 & 99.3 & 96.9675 & 92.425 & 4.54254 & 2.33246 \tabularnewline
83 & 96.1 & 92.981 & 92.8792 & 0.101857 & 3.11898 \tabularnewline
84 & 92.5 & 92.1526 & 93.3083 & -1.15574 & 0.347407 \tabularnewline
85 & 93.7 & 91.9592 & 94.0458 & -2.08662 & 1.74079 \tabularnewline
86 & 92.1 & 93.5359 & 94.85 & -1.31407 & -1.43593 \tabularnewline
87 & 103.6 & 103.638 & 95.3333 & 8.30507 & -0.0384076 \tabularnewline
88 & 92.5 & 95.8525 & 95.8958 & -0.0433632 & -3.35247 \tabularnewline
89 & 95.7 & 95.0048 & 96.525 & -1.52019 & 0.695186 \tabularnewline
90 & 103.4 & 101.844 & 96.8542 & 4.98945 & 1.55638 \tabularnewline
91 & 89 & 89.5526 & 97.2958 & -7.74324 & -0.552593 \tabularnewline
92 & 89.1 & 89.0237 & 98.0333 & -9.00966 & 0.0763289 \tabularnewline
93 & 98.7 & 103.384 & 98.45 & 4.93397 & -4.68397 \tabularnewline
94 & 109.4 & 103.555 & 99.0125 & 4.54254 & 5.84496 \tabularnewline
95 & 101.1 & 99.7894 & 99.6875 & 0.101857 & 1.31064 \tabularnewline
96 & 95.4 & 98.7776 & 99.9333 & -1.15574 & -3.37759 \tabularnewline
97 & 101.4 & 98.2634 & 100.35 & -2.08662 & 3.13662 \tabularnewline
98 & 102.1 & 99.2401 & 100.554 & -1.31407 & 2.85991 \tabularnewline
99 & 103.6 & 109.188 & 100.883 & 8.30507 & -5.58841 \tabularnewline
100 & 106 & 101.148 & 101.192 & -0.0433632 & 4.8517 \tabularnewline
101 & 98.4 & 99.1923 & 100.712 & -1.52019 & -0.792314 \tabularnewline
102 & 106.6 & 105.302 & 100.312 & 4.98945 & 1.29805 \tabularnewline
103 & 95.8 & 91.8401 & 99.5833 & -7.74324 & 3.95991 \tabularnewline
104 & 87.2 & 89.1528 & 98.1625 & -9.00966 & -1.95284 \tabularnewline
105 & 108.5 & 101.984 & 97.05 & 4.93397 & 6.51603 \tabularnewline
106 & 107 & 100.297 & 95.7542 & 4.54254 & 6.70329 \tabularnewline
107 & 92 & 94.5352 & 94.4333 & 0.101857 & -2.53519 \tabularnewline
108 & 94.9 & 92.2484 & 93.4042 & -1.15574 & 2.65157 \tabularnewline
109 & 84.4 & 90.1009 & 92.1875 & -2.08662 & -5.70088 \tabularnewline
110 & 85 & 90.0109 & 91.325 & -1.31407 & -5.01093 \tabularnewline
111 & 94 & 98.8634 & 90.5583 & 8.30507 & -4.86341 \tabularnewline
112 & 84.5 & 89.5108 & 89.5542 & -0.0433632 & -5.0108 \tabularnewline
113 & 88.2 & 87.5506 & 89.0708 & -1.52019 & 0.649353 \tabularnewline
114 & 92.1 & 93.9311 & 88.9417 & 4.98945 & -1.83112 \tabularnewline
115 & 81.1 & 81.3109 & 89.0542 & -7.74324 & -0.210926 \tabularnewline
116 & 81.2 & 80.7528 & 89.7625 & -9.00966 & 0.447162 \tabularnewline
117 & 96.1 & 95.7715 & 90.8375 & 4.93397 & 0.328535 \tabularnewline
118 & 95.3 & 96.4675 & 91.925 & 4.54254 & -1.16754 \tabularnewline
119 & 92.1 & 92.7894 & 92.6875 & 0.101857 & -0.689357 \tabularnewline
120 & 91.7 & 92.5401 & 93.6958 & -1.15574 & -0.840093 \tabularnewline
121 & 90.3 & 92.7509 & 94.8375 & -2.08662 & -2.45088 \tabularnewline
122 & 96.1 & 94.3693 & 95.6833 & -1.31407 & 1.73074 \tabularnewline
123 & 108.7 & 104.884 & 96.5792 & 8.30507 & 3.81576 \tabularnewline
124 & 95.9 & 97.4358 & 97.4792 & -0.0433632 & -1.5358 \tabularnewline
125 & 95.1 & 96.9381 & 98.4583 & -1.52019 & -1.83815 \tabularnewline
126 & 109.4 & 104.498 & 99.5083 & 4.98945 & 4.90222 \tabularnewline
127 & 91.2 & 92.6484 & 100.392 & -7.74324 & -1.44843 \tabularnewline
128 & 91.4 & 92.0612 & 101.071 & -9.00966 & -0.661171 \tabularnewline
129 & 107.4 & 106.901 & 101.967 & 4.93397 & 0.499368 \tabularnewline
130 & 105.6 & 107.372 & 102.829 & 4.54254 & -1.77171 \tabularnewline
131 & 105.3 & 103.814 & 103.712 & 0.101857 & 1.48564 \tabularnewline
132 & 103.7 & 103.044 & 104.2 & -1.15574 & 0.655741 \tabularnewline
133 & 99.5 & 101.984 & 104.071 & -2.08662 & -2.48421 \tabularnewline
134 & 103.2 & 103.09 & 104.404 & -1.31407 & 0.109907 \tabularnewline
135 & 123.1 & 113.222 & 104.917 & 8.30507 & 9.87826 \tabularnewline
136 & 102.2 & 105.007 & 105.05 & -0.0433632 & -2.80664 \tabularnewline
137 & 110 & 103.359 & 104.879 & -1.52019 & 6.64102 \tabularnewline
138 & 106.2 & 109.635 & 104.646 & 4.98945 & -3.43528 \tabularnewline
139 & 91.3 & 96.8359 & 104.579 & -7.74324 & -5.53593 \tabularnewline
140 & 99.3 & 95.6695 & 104.679 & -9.00966 & 3.6305 \tabularnewline
141 & 111.8 & 109.43 & 104.496 & 4.93397 & 2.3702 \tabularnewline
142 & 104.4 & 108.601 & 104.058 & 4.54254 & -4.20088 \tabularnewline
143 & 102.4 & 103.523 & 103.421 & 0.101857 & -1.12269 \tabularnewline
144 & 101 & 101.836 & 102.992 & -1.15574 & -0.835926 \tabularnewline
145 & 100.6 & 101.076 & 103.162 & -2.08662 & -0.475877 \tabularnewline
146 & 104.5 & 101.79 & 103.104 & -1.31407 & 2.70991 \tabularnewline
147 & 117.4 & 110.868 & 102.562 & 8.30507 & 6.53243 \tabularnewline
148 & 97.4 & 102.257 & 102.3 & -0.0433632 & -4.85664 \tabularnewline
149 & 99.5 & 100.784 & 102.304 & -1.52019 & -1.28398 \tabularnewline
150 & 106.4 & 106.927 & 101.937 & 4.98945 & -0.526949 \tabularnewline
151 & 95.2 & 93.7693 & 101.512 & -7.74324 & 1.43074 \tabularnewline
152 & 94 & 92.0695 & 101.079 & -9.00966 & 1.9305 \tabularnewline
153 & 104.1 & 105.317 & 100.383 & 4.93397 & -1.2173 \tabularnewline
154 & 105.8 & 104.805 & 100.262 & 4.54254 & 0.994956 \tabularnewline
155 & 101.1 & 100.694 & 100.592 & 0.101857 & 0.406476 \tabularnewline
156 & 93.5 & 99.5526 & 100.708 & -1.15574 & -6.05259 \tabularnewline
157 & 97.9 & 98.8925 & 100.979 & -2.08662 & -0.992544 \tabularnewline
158 & 96.8 & 99.7734 & 101.087 & -1.31407 & -2.97343 \tabularnewline
159 & 108.4 & 109.309 & 101.004 & 8.30507 & -0.909241 \tabularnewline
160 & 103.5 & 101.29 & 101.333 & -0.0433632 & 2.21003 \tabularnewline
161 & 101.3 & 100.292 & 101.812 & -1.52019 & 1.00769 \tabularnewline
162 & 107.4 & 107.302 & 102.312 & 4.98945 & 0.0980507 \tabularnewline
163 & 100.7 & 95.0484 & 102.792 & -7.74324 & 5.65157 \tabularnewline
164 & 91.1 & 94.2278 & 103.238 & -9.00966 & -3.12784 \tabularnewline
165 & 105 & 108.496 & 103.562 & 4.93397 & -3.49647 \tabularnewline
166 & 112.8 & 108.213 & 103.671 & 4.54254 & 4.58662 \tabularnewline
167 & 105.6 & 103.902 & 103.8 & 0.101857 & 1.69814 \tabularnewline
168 & 101 & 102.757 & 103.912 & -1.15574 & -1.75676 \tabularnewline
169 & 101.9 & 101.713 & 103.8 & -2.08662 & 0.186623 \tabularnewline
170 & 103.5 & 102.215 & 103.529 & -1.31407 & 1.28491 \tabularnewline
171 & 109.5 & 112.03 & 103.725 & 8.30507 & -2.53007 \tabularnewline
172 & 105 & 103.927 & 103.971 & -0.0433632 & 1.07253 \tabularnewline
173 & 102.9 & 102.221 & 103.742 & -1.52019 & 0.678519 \tabularnewline
174 & 108.5 & 108.573 & 103.583 & 4.98945 & -0.0727826 \tabularnewline
175 & 96.9 & 95.8443 & 103.588 & -7.74324 & 1.05574 \tabularnewline
176 & 88.4 & 94.3778 & 103.388 & -9.00966 & -5.97784 \tabularnewline
177 & 112.4 & 108.33 & 103.396 & 4.93397 & 4.0702 \tabularnewline
178 & 111.3 & 108.122 & 103.579 & 4.54254 & 3.17829 \tabularnewline
179 & 101.6 & 103.439 & 103.338 & 0.101857 & -1.83936 \tabularnewline
180 & 101.2 & 101.986 & 103.142 & -1.15574 & -0.785926 \tabularnewline
181 & 101.8 & 100.98 & 103.067 & -2.08662 & 0.819956 \tabularnewline
182 & 98.8 & 101.736 & 103.05 & -1.31407 & -2.93593 \tabularnewline
183 & 114.4 & 111.413 & 103.108 & 8.30507 & 2.98659 \tabularnewline
184 & 104.5 & 103.007 & 103.05 & -0.0433632 & 1.49336 \tabularnewline
185 & 97.6 & 101.713 & 103.233 & -1.52019 & -4.11315 \tabularnewline
186 & 109.1 & 108.464 & 103.475 & 4.98945 & 0.635551 \tabularnewline
187 & 94.5 & 95.8359 & 103.579 & -7.74324 & -1.33593 \tabularnewline
188 & 90.4 & 95.007 & 104.017 & -9.00966 & -4.607 \tabularnewline
189 & 111.8 & 109.438 & 104.504 & 4.93397 & 2.36187 \tabularnewline
190 & 110.5 & 109.388 & 104.846 & 4.54254 & 1.11162 \tabularnewline
191 & 106.8 & 105.377 & 105.275 & 0.101857 & 1.42314 \tabularnewline
192 & 101.8 & 104.603 & 105.758 & -1.15574 & -2.80259 \tabularnewline
193 & 103.7 & 104.076 & 106.162 & -2.08662 & -0.375877 \tabularnewline
194 & 107.4 & 105.394 & 106.708 & -1.31407 & 2.00574 \tabularnewline
195 & 117.5 & 115.468 & 107.162 & 8.30507 & 2.03243 \tabularnewline
196 & 109.6 & 107.09 & 107.133 & -0.0433632 & 2.51003 \tabularnewline
197 & 102.8 & 105.63 & 107.15 & -1.52019 & -2.82981 \tabularnewline
198 & 115.5 & 112.735 & 107.746 & 4.98945 & 2.76472 \tabularnewline
199 & 97.8 & 100.64 & 108.383 & -7.74324 & -2.84009 \tabularnewline
200 & 100.2 & 99.5987 & 108.608 & -9.00966 & 0.601329 \tabularnewline
201 & 112.9 & 113.926 & 108.992 & 4.93397 & -1.02563 \tabularnewline
202 & 108.7 & 113.601 & 109.058 & 4.54254 & -4.90088 \tabularnewline
203 & 109 & 109.269 & 109.167 & 0.101857 & -0.268524 \tabularnewline
204 & 113.9 & 108.478 & 109.633 & -1.15574 & 5.42241 \tabularnewline
205 & 106.9 & 107.859 & 109.946 & -2.08662 & -0.95921 \tabularnewline
206 & 109.6 & 109.015 & 110.329 & -1.31407 & 0.584907 \tabularnewline
207 & 124.5 & NA & NA & 8.30507 & NA \tabularnewline
208 & 104.2 & NA & NA & -0.0433632 & NA \tabularnewline
209 & 110.8 & NA & NA & -1.52019 & NA \tabularnewline
210 & 118.7 & NA & NA & 4.98945 & NA \tabularnewline
211 & 102.1 & NA & NA & -7.74324 & NA \tabularnewline
212 & 105.1 & NA & NA & -9.00966 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310329&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]63.2[/C][C]NA[/C][C]NA[/C][C]-2.08662[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]68.6[/C][C]NA[/C][C]NA[/C][C]-1.31407[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]77.7[/C][C]NA[/C][C]NA[/C][C]8.30507[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]68.1[/C][C]NA[/C][C]NA[/C][C]-0.0433632[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]75.1[/C][C]NA[/C][C]NA[/C][C]-1.52019[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]73.3[/C][C]NA[/C][C]NA[/C][C]4.98945[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]60.5[/C][C]61.8776[/C][C]69.6208[/C][C]-7.74324[/C][C]-1.37759[/C][/ROW]
[ROW][C]8[/C][C]65.9[/C][C]60.7612[/C][C]69.7708[/C][C]-9.00966[/C][C]5.13883[/C][/ROW]
[ROW][C]9[/C][C]77.7[/C][C]74.2506[/C][C]69.3167[/C][C]4.93397[/C][C]3.44937[/C][/ROW]
[ROW][C]10[/C][C]67.7[/C][C]73.4259[/C][C]68.8833[/C][C]4.54254[/C][C]-5.72588[/C][/ROW]
[ROW][C]11[/C][C]67.7[/C][C]68.6602[/C][C]68.5583[/C][C]0.101857[/C][C]-0.960191[/C][/ROW]
[ROW][C]12[/C][C]67.7[/C][C]66.8609[/C][C]68.0167[/C][C]-1.15574[/C][C]0.839074[/C][/ROW]
[ROW][C]13[/C][C]67.7[/C][C]65.9967[/C][C]68.0833[/C][C]-2.08662[/C][C]1.70329[/C][/ROW]
[ROW][C]14[/C][C]67.7[/C][C]67.1443[/C][C]68.4583[/C][C]-1.31407[/C][C]0.555741[/C][/ROW]
[ROW][C]15[/C][C]67.7[/C][C]76.4217[/C][C]68.1167[/C][C]8.30507[/C][C]-8.72174[/C][/ROW]
[ROW][C]16[/C][C]67.7[/C][C]67.6566[/C][C]67.7[/C][C]-0.0433632[/C][C]0.0433632[/C][/ROW]
[ROW][C]17[/C][C]67.7[/C][C]66.1798[/C][C]67.7[/C][C]-1.52019[/C][C]1.52019[/C][/ROW]
[ROW][C]18[/C][C]67.7[/C][C]72.6894[/C][C]67.7[/C][C]4.98945[/C][C]-4.98945[/C][/ROW]
[ROW][C]19[/C][C]67.7[/C][C]60.1859[/C][C]67.9292[/C][C]-7.74324[/C][C]7.51407[/C][/ROW]
[ROW][C]20[/C][C]67.7[/C][C]59.3362[/C][C]68.3458[/C][C]-9.00966[/C][C]8.36383[/C][/ROW]
[ROW][C]21[/C][C]67.7[/C][C]73.9506[/C][C]69.0167[/C][C]4.93397[/C][C]-6.25063[/C][/ROW]
[ROW][C]22[/C][C]67.7[/C][C]74.4509[/C][C]69.9083[/C][C]4.54254[/C][C]-6.75088[/C][/ROW]
[ROW][C]23[/C][C]67.7[/C][C]70.7477[/C][C]70.6458[/C][C]0.101857[/C][C]-3.04769[/C][/ROW]
[ROW][C]24[/C][C]67.7[/C][C]70.2234[/C][C]71.3792[/C][C]-1.15574[/C][C]-2.52343[/C][/ROW]
[ROW][C]25[/C][C]73.2[/C][C]69.7592[/C][C]71.8458[/C][C]-2.08662[/C][C]3.44079[/C][/ROW]
[ROW][C]26[/C][C]72.2[/C][C]70.5693[/C][C]71.8833[/C][C]-1.31407[/C][C]1.63074[/C][/ROW]
[ROW][C]27[/C][C]79.3[/C][C]80.5884[/C][C]72.2833[/C][C]8.30507[/C][C]-1.28841[/C][/ROW]
[ROW][C]28[/C][C]77.5[/C][C]73.29[/C][C]73.3333[/C][C]-0.0433632[/C][C]4.21003[/C][/ROW]
[ROW][C]29[/C][C]75.6[/C][C]72.7715[/C][C]74.2917[/C][C]-1.52019[/C][C]2.82852[/C][/ROW]
[ROW][C]30[/C][C]77.4[/C][C]79.7144[/C][C]74.725[/C][C]4.98945[/C][C]-2.31445[/C][/ROW]
[ROW][C]31[/C][C]69.2[/C][C]67.2151[/C][C]74.9583[/C][C]-7.74324[/C][C]1.98491[/C][/ROW]
[ROW][C]32[/C][C]67.1[/C][C]66.1695[/C][C]75.1792[/C][C]-9.00966[/C][C]0.930496[/C][/ROW]
[ROW][C]33[/C][C]77.9[/C][C]80.2506[/C][C]75.3167[/C][C]4.93397[/C][C]-2.35063[/C][/ROW]
[ROW][C]34[/C][C]82.7[/C][C]79.93[/C][C]75.3875[/C][C]4.54254[/C][C]2.76996[/C][/ROW]
[ROW][C]35[/C][C]75.7[/C][C]75.4227[/C][C]75.3208[/C][C]0.101857[/C][C]0.277309[/C][/ROW]
[ROW][C]36[/C][C]70.1[/C][C]74.1359[/C][C]75.2917[/C][C]-1.15574[/C][C]-4.03593[/C][/ROW]
[ROW][C]37[/C][C]76.4[/C][C]73.3467[/C][C]75.4333[/C][C]-2.08662[/C][C]3.05329[/C][/ROW]
[ROW][C]38[/C][C]74.3[/C][C]74.1651[/C][C]75.4792[/C][C]-1.31407[/C][C]0.134907[/C][/ROW]
[ROW][C]39[/C][C]80.5[/C][C]83.9467[/C][C]75.6417[/C][C]8.30507[/C][C]-3.44674[/C][/ROW]
[ROW][C]40[/C][C]78[/C][C]75.8441[/C][C]75.8875[/C][C]-0.0433632[/C][C]2.15586[/C][/ROW]
[ROW][C]41[/C][C]73.5[/C][C]74.384[/C][C]75.9042[/C][C]-1.52019[/C][C]-0.883981[/C][/ROW]
[ROW][C]42[/C][C]78.8[/C][C]81.2936[/C][C]76.3042[/C][C]4.98945[/C][C]-2.49362[/C][/ROW]
[ROW][C]43[/C][C]71.2[/C][C]68.9151[/C][C]76.6583[/C][C]-7.74324[/C][C]2.28491[/C][/ROW]
[ROW][C]44[/C][C]66.2[/C][C]67.7153[/C][C]76.725[/C][C]-9.00966[/C][C]-1.51534[/C][/ROW]
[ROW][C]45[/C][C]82.7[/C][C]82.1881[/C][C]77.2542[/C][C]4.93397[/C][C]0.511868[/C][/ROW]
[ROW][C]46[/C][C]83.8[/C][C]82.3675[/C][C]77.825[/C][C]4.54254[/C][C]1.43246[/C][/ROW]
[ROW][C]47[/C][C]75[/C][C]78.256[/C][C]78.1542[/C][C]0.101857[/C][C]-3.25602[/C][/ROW]
[ROW][C]48[/C][C]80.4[/C][C]77.5943[/C][C]78.75[/C][C]-1.15574[/C][C]2.80574[/C][/ROW]
[ROW][C]49[/C][C]74.6[/C][C]77.3009[/C][C]79.3875[/C][C]-2.08662[/C][C]-2.70088[/C][/ROW]
[ROW][C]50[/C][C]77.7[/C][C]78.6318[/C][C]79.9458[/C][C]-1.31407[/C][C]-0.931759[/C][/ROW]
[ROW][C]51[/C][C]89.8[/C][C]88.9217[/C][C]80.6167[/C][C]8.30507[/C][C]0.878259[/C][/ROW]
[ROW][C]52[/C][C]82.4[/C][C]81.0816[/C][C]81.125[/C][C]-0.0433632[/C][C]1.31836[/C][/ROW]
[ROW][C]53[/C][C]77[/C][C]80.2923[/C][C]81.8125[/C][C]-1.52019[/C][C]-3.29231[/C][/ROW]
[ROW][C]54[/C][C]89.6[/C][C]87.6811[/C][C]82.6917[/C][C]4.98945[/C][C]1.91888[/C][/ROW]
[ROW][C]55[/C][C]75.7[/C][C]75.7401[/C][C]83.4833[/C][C]-7.74324[/C][C]-0.0400927[/C][/ROW]
[ROW][C]56[/C][C]75.1[/C][C]75.0737[/C][C]84.0833[/C][C]-9.00966[/C][C]0.0263289[/C][/ROW]
[ROW][C]57[/C][C]89.9[/C][C]89.3048[/C][C]84.3708[/C][C]4.93397[/C][C]0.595201[/C][/ROW]
[ROW][C]58[/C][C]88.8[/C][C]89.205[/C][C]84.6625[/C][C]4.54254[/C][C]-0.405044[/C][/ROW]
[ROW][C]59[/C][C]86.5[/C][C]85.1852[/C][C]85.0833[/C][C]0.101857[/C][C]1.31481[/C][/ROW]
[ROW][C]60[/C][C]90[/C][C]84.2443[/C][C]85.4[/C][C]-1.15574[/C][C]5.75574[/C][/ROW]
[ROW][C]61[/C][C]84[/C][C]83.3134[/C][C]85.4[/C][C]-2.08662[/C][C]0.686623[/C][/ROW]
[ROW][C]62[/C][C]82.7[/C][C]83.9984[/C][C]85.3125[/C][C]-1.31407[/C][C]-1.29843[/C][/ROW]
[ROW][C]63[/C][C]91.7[/C][C]93.7092[/C][C]85.4042[/C][C]8.30507[/C][C]-2.00924[/C][/ROW]
[ROW][C]64[/C][C]87.5[/C][C]85.3775[/C][C]85.4208[/C][C]-0.0433632[/C][C]2.12253[/C][/ROW]
[ROW][C]65[/C][C]82[/C][C]83.9965[/C][C]85.5167[/C][C]-1.52019[/C][C]-1.99648[/C][/ROW]
[ROW][C]66[/C][C]92.2[/C][C]90.7103[/C][C]85.7208[/C][C]4.98945[/C][C]1.48972[/C][/ROW]
[ROW][C]67[/C][C]73.1[/C][C]78.1818[/C][C]85.925[/C][C]-7.74324[/C][C]-5.08176[/C][/ROW]
[ROW][C]68[/C][C]75.6[/C][C]77.3028[/C][C]86.3125[/C][C]-9.00966[/C][C]-1.70284[/C][/ROW]
[ROW][C]69[/C][C]91.6[/C][C]91.859[/C][C]86.925[/C][C]4.93397[/C][C]-0.258965[/C][/ROW]
[ROW][C]70[/C][C]87.5[/C][C]91.7509[/C][C]87.2083[/C][C]4.54254[/C][C]-4.25088[/C][/ROW]
[ROW][C]71[/C][C]90.1[/C][C]87.6352[/C][C]87.5333[/C][C]0.101857[/C][C]2.46481[/C][/ROW]
[ROW][C]72[/C][C]91.3[/C][C]86.9859[/C][C]88.1417[/C][C]-1.15574[/C][C]4.31407[/C][/ROW]
[ROW][C]73[/C][C]87.6[/C][C]86.4467[/C][C]88.5333[/C][C]-2.08662[/C][C]1.15329[/C][/ROW]
[ROW][C]74[/C][C]88.4[/C][C]87.6401[/C][C]88.9542[/C][C]-1.31407[/C][C]0.759907[/C][/ROW]
[ROW][C]75[/C][C]100.7[/C][C]97.6342[/C][C]89.3292[/C][C]8.30507[/C][C]3.06576[/C][/ROW]
[ROW][C]76[/C][C]85.3[/C][C]89.9316[/C][C]89.975[/C][C]-0.0433632[/C][C]-4.63164[/C][/ROW]
[ROW][C]77[/C][C]92[/C][C]89.1965[/C][C]90.7167[/C][C]-1.52019[/C][C]2.80352[/C][/ROW]
[ROW][C]78[/C][C]96.8[/C][C]96.0061[/C][C]91.0167[/C][C]4.98945[/C][C]0.793884[/C][/ROW]
[ROW][C]79[/C][C]77.9[/C][C]83.5776[/C][C]91.3208[/C][C]-7.74324[/C][C]-5.67759[/C][/ROW]
[ROW][C]80[/C][C]80.9[/C][C]82.7195[/C][C]91.7292[/C][C]-9.00966[/C][C]-1.8195[/C][/ROW]
[ROW][C]81[/C][C]95.3[/C][C]96.9381[/C][C]92.0042[/C][C]4.93397[/C][C]-1.63813[/C][/ROW]
[ROW][C]82[/C][C]99.3[/C][C]96.9675[/C][C]92.425[/C][C]4.54254[/C][C]2.33246[/C][/ROW]
[ROW][C]83[/C][C]96.1[/C][C]92.981[/C][C]92.8792[/C][C]0.101857[/C][C]3.11898[/C][/ROW]
[ROW][C]84[/C][C]92.5[/C][C]92.1526[/C][C]93.3083[/C][C]-1.15574[/C][C]0.347407[/C][/ROW]
[ROW][C]85[/C][C]93.7[/C][C]91.9592[/C][C]94.0458[/C][C]-2.08662[/C][C]1.74079[/C][/ROW]
[ROW][C]86[/C][C]92.1[/C][C]93.5359[/C][C]94.85[/C][C]-1.31407[/C][C]-1.43593[/C][/ROW]
[ROW][C]87[/C][C]103.6[/C][C]103.638[/C][C]95.3333[/C][C]8.30507[/C][C]-0.0384076[/C][/ROW]
[ROW][C]88[/C][C]92.5[/C][C]95.8525[/C][C]95.8958[/C][C]-0.0433632[/C][C]-3.35247[/C][/ROW]
[ROW][C]89[/C][C]95.7[/C][C]95.0048[/C][C]96.525[/C][C]-1.52019[/C][C]0.695186[/C][/ROW]
[ROW][C]90[/C][C]103.4[/C][C]101.844[/C][C]96.8542[/C][C]4.98945[/C][C]1.55638[/C][/ROW]
[ROW][C]91[/C][C]89[/C][C]89.5526[/C][C]97.2958[/C][C]-7.74324[/C][C]-0.552593[/C][/ROW]
[ROW][C]92[/C][C]89.1[/C][C]89.0237[/C][C]98.0333[/C][C]-9.00966[/C][C]0.0763289[/C][/ROW]
[ROW][C]93[/C][C]98.7[/C][C]103.384[/C][C]98.45[/C][C]4.93397[/C][C]-4.68397[/C][/ROW]
[ROW][C]94[/C][C]109.4[/C][C]103.555[/C][C]99.0125[/C][C]4.54254[/C][C]5.84496[/C][/ROW]
[ROW][C]95[/C][C]101.1[/C][C]99.7894[/C][C]99.6875[/C][C]0.101857[/C][C]1.31064[/C][/ROW]
[ROW][C]96[/C][C]95.4[/C][C]98.7776[/C][C]99.9333[/C][C]-1.15574[/C][C]-3.37759[/C][/ROW]
[ROW][C]97[/C][C]101.4[/C][C]98.2634[/C][C]100.35[/C][C]-2.08662[/C][C]3.13662[/C][/ROW]
[ROW][C]98[/C][C]102.1[/C][C]99.2401[/C][C]100.554[/C][C]-1.31407[/C][C]2.85991[/C][/ROW]
[ROW][C]99[/C][C]103.6[/C][C]109.188[/C][C]100.883[/C][C]8.30507[/C][C]-5.58841[/C][/ROW]
[ROW][C]100[/C][C]106[/C][C]101.148[/C][C]101.192[/C][C]-0.0433632[/C][C]4.8517[/C][/ROW]
[ROW][C]101[/C][C]98.4[/C][C]99.1923[/C][C]100.712[/C][C]-1.52019[/C][C]-0.792314[/C][/ROW]
[ROW][C]102[/C][C]106.6[/C][C]105.302[/C][C]100.312[/C][C]4.98945[/C][C]1.29805[/C][/ROW]
[ROW][C]103[/C][C]95.8[/C][C]91.8401[/C][C]99.5833[/C][C]-7.74324[/C][C]3.95991[/C][/ROW]
[ROW][C]104[/C][C]87.2[/C][C]89.1528[/C][C]98.1625[/C][C]-9.00966[/C][C]-1.95284[/C][/ROW]
[ROW][C]105[/C][C]108.5[/C][C]101.984[/C][C]97.05[/C][C]4.93397[/C][C]6.51603[/C][/ROW]
[ROW][C]106[/C][C]107[/C][C]100.297[/C][C]95.7542[/C][C]4.54254[/C][C]6.70329[/C][/ROW]
[ROW][C]107[/C][C]92[/C][C]94.5352[/C][C]94.4333[/C][C]0.101857[/C][C]-2.53519[/C][/ROW]
[ROW][C]108[/C][C]94.9[/C][C]92.2484[/C][C]93.4042[/C][C]-1.15574[/C][C]2.65157[/C][/ROW]
[ROW][C]109[/C][C]84.4[/C][C]90.1009[/C][C]92.1875[/C][C]-2.08662[/C][C]-5.70088[/C][/ROW]
[ROW][C]110[/C][C]85[/C][C]90.0109[/C][C]91.325[/C][C]-1.31407[/C][C]-5.01093[/C][/ROW]
[ROW][C]111[/C][C]94[/C][C]98.8634[/C][C]90.5583[/C][C]8.30507[/C][C]-4.86341[/C][/ROW]
[ROW][C]112[/C][C]84.5[/C][C]89.5108[/C][C]89.5542[/C][C]-0.0433632[/C][C]-5.0108[/C][/ROW]
[ROW][C]113[/C][C]88.2[/C][C]87.5506[/C][C]89.0708[/C][C]-1.52019[/C][C]0.649353[/C][/ROW]
[ROW][C]114[/C][C]92.1[/C][C]93.9311[/C][C]88.9417[/C][C]4.98945[/C][C]-1.83112[/C][/ROW]
[ROW][C]115[/C][C]81.1[/C][C]81.3109[/C][C]89.0542[/C][C]-7.74324[/C][C]-0.210926[/C][/ROW]
[ROW][C]116[/C][C]81.2[/C][C]80.7528[/C][C]89.7625[/C][C]-9.00966[/C][C]0.447162[/C][/ROW]
[ROW][C]117[/C][C]96.1[/C][C]95.7715[/C][C]90.8375[/C][C]4.93397[/C][C]0.328535[/C][/ROW]
[ROW][C]118[/C][C]95.3[/C][C]96.4675[/C][C]91.925[/C][C]4.54254[/C][C]-1.16754[/C][/ROW]
[ROW][C]119[/C][C]92.1[/C][C]92.7894[/C][C]92.6875[/C][C]0.101857[/C][C]-0.689357[/C][/ROW]
[ROW][C]120[/C][C]91.7[/C][C]92.5401[/C][C]93.6958[/C][C]-1.15574[/C][C]-0.840093[/C][/ROW]
[ROW][C]121[/C][C]90.3[/C][C]92.7509[/C][C]94.8375[/C][C]-2.08662[/C][C]-2.45088[/C][/ROW]
[ROW][C]122[/C][C]96.1[/C][C]94.3693[/C][C]95.6833[/C][C]-1.31407[/C][C]1.73074[/C][/ROW]
[ROW][C]123[/C][C]108.7[/C][C]104.884[/C][C]96.5792[/C][C]8.30507[/C][C]3.81576[/C][/ROW]
[ROW][C]124[/C][C]95.9[/C][C]97.4358[/C][C]97.4792[/C][C]-0.0433632[/C][C]-1.5358[/C][/ROW]
[ROW][C]125[/C][C]95.1[/C][C]96.9381[/C][C]98.4583[/C][C]-1.52019[/C][C]-1.83815[/C][/ROW]
[ROW][C]126[/C][C]109.4[/C][C]104.498[/C][C]99.5083[/C][C]4.98945[/C][C]4.90222[/C][/ROW]
[ROW][C]127[/C][C]91.2[/C][C]92.6484[/C][C]100.392[/C][C]-7.74324[/C][C]-1.44843[/C][/ROW]
[ROW][C]128[/C][C]91.4[/C][C]92.0612[/C][C]101.071[/C][C]-9.00966[/C][C]-0.661171[/C][/ROW]
[ROW][C]129[/C][C]107.4[/C][C]106.901[/C][C]101.967[/C][C]4.93397[/C][C]0.499368[/C][/ROW]
[ROW][C]130[/C][C]105.6[/C][C]107.372[/C][C]102.829[/C][C]4.54254[/C][C]-1.77171[/C][/ROW]
[ROW][C]131[/C][C]105.3[/C][C]103.814[/C][C]103.712[/C][C]0.101857[/C][C]1.48564[/C][/ROW]
[ROW][C]132[/C][C]103.7[/C][C]103.044[/C][C]104.2[/C][C]-1.15574[/C][C]0.655741[/C][/ROW]
[ROW][C]133[/C][C]99.5[/C][C]101.984[/C][C]104.071[/C][C]-2.08662[/C][C]-2.48421[/C][/ROW]
[ROW][C]134[/C][C]103.2[/C][C]103.09[/C][C]104.404[/C][C]-1.31407[/C][C]0.109907[/C][/ROW]
[ROW][C]135[/C][C]123.1[/C][C]113.222[/C][C]104.917[/C][C]8.30507[/C][C]9.87826[/C][/ROW]
[ROW][C]136[/C][C]102.2[/C][C]105.007[/C][C]105.05[/C][C]-0.0433632[/C][C]-2.80664[/C][/ROW]
[ROW][C]137[/C][C]110[/C][C]103.359[/C][C]104.879[/C][C]-1.52019[/C][C]6.64102[/C][/ROW]
[ROW][C]138[/C][C]106.2[/C][C]109.635[/C][C]104.646[/C][C]4.98945[/C][C]-3.43528[/C][/ROW]
[ROW][C]139[/C][C]91.3[/C][C]96.8359[/C][C]104.579[/C][C]-7.74324[/C][C]-5.53593[/C][/ROW]
[ROW][C]140[/C][C]99.3[/C][C]95.6695[/C][C]104.679[/C][C]-9.00966[/C][C]3.6305[/C][/ROW]
[ROW][C]141[/C][C]111.8[/C][C]109.43[/C][C]104.496[/C][C]4.93397[/C][C]2.3702[/C][/ROW]
[ROW][C]142[/C][C]104.4[/C][C]108.601[/C][C]104.058[/C][C]4.54254[/C][C]-4.20088[/C][/ROW]
[ROW][C]143[/C][C]102.4[/C][C]103.523[/C][C]103.421[/C][C]0.101857[/C][C]-1.12269[/C][/ROW]
[ROW][C]144[/C][C]101[/C][C]101.836[/C][C]102.992[/C][C]-1.15574[/C][C]-0.835926[/C][/ROW]
[ROW][C]145[/C][C]100.6[/C][C]101.076[/C][C]103.162[/C][C]-2.08662[/C][C]-0.475877[/C][/ROW]
[ROW][C]146[/C][C]104.5[/C][C]101.79[/C][C]103.104[/C][C]-1.31407[/C][C]2.70991[/C][/ROW]
[ROW][C]147[/C][C]117.4[/C][C]110.868[/C][C]102.562[/C][C]8.30507[/C][C]6.53243[/C][/ROW]
[ROW][C]148[/C][C]97.4[/C][C]102.257[/C][C]102.3[/C][C]-0.0433632[/C][C]-4.85664[/C][/ROW]
[ROW][C]149[/C][C]99.5[/C][C]100.784[/C][C]102.304[/C][C]-1.52019[/C][C]-1.28398[/C][/ROW]
[ROW][C]150[/C][C]106.4[/C][C]106.927[/C][C]101.937[/C][C]4.98945[/C][C]-0.526949[/C][/ROW]
[ROW][C]151[/C][C]95.2[/C][C]93.7693[/C][C]101.512[/C][C]-7.74324[/C][C]1.43074[/C][/ROW]
[ROW][C]152[/C][C]94[/C][C]92.0695[/C][C]101.079[/C][C]-9.00966[/C][C]1.9305[/C][/ROW]
[ROW][C]153[/C][C]104.1[/C][C]105.317[/C][C]100.383[/C][C]4.93397[/C][C]-1.2173[/C][/ROW]
[ROW][C]154[/C][C]105.8[/C][C]104.805[/C][C]100.262[/C][C]4.54254[/C][C]0.994956[/C][/ROW]
[ROW][C]155[/C][C]101.1[/C][C]100.694[/C][C]100.592[/C][C]0.101857[/C][C]0.406476[/C][/ROW]
[ROW][C]156[/C][C]93.5[/C][C]99.5526[/C][C]100.708[/C][C]-1.15574[/C][C]-6.05259[/C][/ROW]
[ROW][C]157[/C][C]97.9[/C][C]98.8925[/C][C]100.979[/C][C]-2.08662[/C][C]-0.992544[/C][/ROW]
[ROW][C]158[/C][C]96.8[/C][C]99.7734[/C][C]101.087[/C][C]-1.31407[/C][C]-2.97343[/C][/ROW]
[ROW][C]159[/C][C]108.4[/C][C]109.309[/C][C]101.004[/C][C]8.30507[/C][C]-0.909241[/C][/ROW]
[ROW][C]160[/C][C]103.5[/C][C]101.29[/C][C]101.333[/C][C]-0.0433632[/C][C]2.21003[/C][/ROW]
[ROW][C]161[/C][C]101.3[/C][C]100.292[/C][C]101.812[/C][C]-1.52019[/C][C]1.00769[/C][/ROW]
[ROW][C]162[/C][C]107.4[/C][C]107.302[/C][C]102.312[/C][C]4.98945[/C][C]0.0980507[/C][/ROW]
[ROW][C]163[/C][C]100.7[/C][C]95.0484[/C][C]102.792[/C][C]-7.74324[/C][C]5.65157[/C][/ROW]
[ROW][C]164[/C][C]91.1[/C][C]94.2278[/C][C]103.238[/C][C]-9.00966[/C][C]-3.12784[/C][/ROW]
[ROW][C]165[/C][C]105[/C][C]108.496[/C][C]103.562[/C][C]4.93397[/C][C]-3.49647[/C][/ROW]
[ROW][C]166[/C][C]112.8[/C][C]108.213[/C][C]103.671[/C][C]4.54254[/C][C]4.58662[/C][/ROW]
[ROW][C]167[/C][C]105.6[/C][C]103.902[/C][C]103.8[/C][C]0.101857[/C][C]1.69814[/C][/ROW]
[ROW][C]168[/C][C]101[/C][C]102.757[/C][C]103.912[/C][C]-1.15574[/C][C]-1.75676[/C][/ROW]
[ROW][C]169[/C][C]101.9[/C][C]101.713[/C][C]103.8[/C][C]-2.08662[/C][C]0.186623[/C][/ROW]
[ROW][C]170[/C][C]103.5[/C][C]102.215[/C][C]103.529[/C][C]-1.31407[/C][C]1.28491[/C][/ROW]
[ROW][C]171[/C][C]109.5[/C][C]112.03[/C][C]103.725[/C][C]8.30507[/C][C]-2.53007[/C][/ROW]
[ROW][C]172[/C][C]105[/C][C]103.927[/C][C]103.971[/C][C]-0.0433632[/C][C]1.07253[/C][/ROW]
[ROW][C]173[/C][C]102.9[/C][C]102.221[/C][C]103.742[/C][C]-1.52019[/C][C]0.678519[/C][/ROW]
[ROW][C]174[/C][C]108.5[/C][C]108.573[/C][C]103.583[/C][C]4.98945[/C][C]-0.0727826[/C][/ROW]
[ROW][C]175[/C][C]96.9[/C][C]95.8443[/C][C]103.588[/C][C]-7.74324[/C][C]1.05574[/C][/ROW]
[ROW][C]176[/C][C]88.4[/C][C]94.3778[/C][C]103.388[/C][C]-9.00966[/C][C]-5.97784[/C][/ROW]
[ROW][C]177[/C][C]112.4[/C][C]108.33[/C][C]103.396[/C][C]4.93397[/C][C]4.0702[/C][/ROW]
[ROW][C]178[/C][C]111.3[/C][C]108.122[/C][C]103.579[/C][C]4.54254[/C][C]3.17829[/C][/ROW]
[ROW][C]179[/C][C]101.6[/C][C]103.439[/C][C]103.338[/C][C]0.101857[/C][C]-1.83936[/C][/ROW]
[ROW][C]180[/C][C]101.2[/C][C]101.986[/C][C]103.142[/C][C]-1.15574[/C][C]-0.785926[/C][/ROW]
[ROW][C]181[/C][C]101.8[/C][C]100.98[/C][C]103.067[/C][C]-2.08662[/C][C]0.819956[/C][/ROW]
[ROW][C]182[/C][C]98.8[/C][C]101.736[/C][C]103.05[/C][C]-1.31407[/C][C]-2.93593[/C][/ROW]
[ROW][C]183[/C][C]114.4[/C][C]111.413[/C][C]103.108[/C][C]8.30507[/C][C]2.98659[/C][/ROW]
[ROW][C]184[/C][C]104.5[/C][C]103.007[/C][C]103.05[/C][C]-0.0433632[/C][C]1.49336[/C][/ROW]
[ROW][C]185[/C][C]97.6[/C][C]101.713[/C][C]103.233[/C][C]-1.52019[/C][C]-4.11315[/C][/ROW]
[ROW][C]186[/C][C]109.1[/C][C]108.464[/C][C]103.475[/C][C]4.98945[/C][C]0.635551[/C][/ROW]
[ROW][C]187[/C][C]94.5[/C][C]95.8359[/C][C]103.579[/C][C]-7.74324[/C][C]-1.33593[/C][/ROW]
[ROW][C]188[/C][C]90.4[/C][C]95.007[/C][C]104.017[/C][C]-9.00966[/C][C]-4.607[/C][/ROW]
[ROW][C]189[/C][C]111.8[/C][C]109.438[/C][C]104.504[/C][C]4.93397[/C][C]2.36187[/C][/ROW]
[ROW][C]190[/C][C]110.5[/C][C]109.388[/C][C]104.846[/C][C]4.54254[/C][C]1.11162[/C][/ROW]
[ROW][C]191[/C][C]106.8[/C][C]105.377[/C][C]105.275[/C][C]0.101857[/C][C]1.42314[/C][/ROW]
[ROW][C]192[/C][C]101.8[/C][C]104.603[/C][C]105.758[/C][C]-1.15574[/C][C]-2.80259[/C][/ROW]
[ROW][C]193[/C][C]103.7[/C][C]104.076[/C][C]106.162[/C][C]-2.08662[/C][C]-0.375877[/C][/ROW]
[ROW][C]194[/C][C]107.4[/C][C]105.394[/C][C]106.708[/C][C]-1.31407[/C][C]2.00574[/C][/ROW]
[ROW][C]195[/C][C]117.5[/C][C]115.468[/C][C]107.162[/C][C]8.30507[/C][C]2.03243[/C][/ROW]
[ROW][C]196[/C][C]109.6[/C][C]107.09[/C][C]107.133[/C][C]-0.0433632[/C][C]2.51003[/C][/ROW]
[ROW][C]197[/C][C]102.8[/C][C]105.63[/C][C]107.15[/C][C]-1.52019[/C][C]-2.82981[/C][/ROW]
[ROW][C]198[/C][C]115.5[/C][C]112.735[/C][C]107.746[/C][C]4.98945[/C][C]2.76472[/C][/ROW]
[ROW][C]199[/C][C]97.8[/C][C]100.64[/C][C]108.383[/C][C]-7.74324[/C][C]-2.84009[/C][/ROW]
[ROW][C]200[/C][C]100.2[/C][C]99.5987[/C][C]108.608[/C][C]-9.00966[/C][C]0.601329[/C][/ROW]
[ROW][C]201[/C][C]112.9[/C][C]113.926[/C][C]108.992[/C][C]4.93397[/C][C]-1.02563[/C][/ROW]
[ROW][C]202[/C][C]108.7[/C][C]113.601[/C][C]109.058[/C][C]4.54254[/C][C]-4.90088[/C][/ROW]
[ROW][C]203[/C][C]109[/C][C]109.269[/C][C]109.167[/C][C]0.101857[/C][C]-0.268524[/C][/ROW]
[ROW][C]204[/C][C]113.9[/C][C]108.478[/C][C]109.633[/C][C]-1.15574[/C][C]5.42241[/C][/ROW]
[ROW][C]205[/C][C]106.9[/C][C]107.859[/C][C]109.946[/C][C]-2.08662[/C][C]-0.95921[/C][/ROW]
[ROW][C]206[/C][C]109.6[/C][C]109.015[/C][C]110.329[/C][C]-1.31407[/C][C]0.584907[/C][/ROW]
[ROW][C]207[/C][C]124.5[/C][C]NA[/C][C]NA[/C][C]8.30507[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]104.2[/C][C]NA[/C][C]NA[/C][C]-0.0433632[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]110.8[/C][C]NA[/C][C]NA[/C][C]-1.52019[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]118.7[/C][C]NA[/C][C]NA[/C][C]4.98945[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]102.1[/C][C]NA[/C][C]NA[/C][C]-7.74324[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]105.1[/C][C]NA[/C][C]NA[/C][C]-9.00966[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310329&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
t	Observations	Fit	Trend	Seasonal	Random
1	63.2	NA	NA	-2.08662	NA
2	68.6	NA	NA	-1.31407	NA
3	77.7	NA	NA	8.30507	NA
4	68.1	NA	NA	-0.0433632	NA
5	75.1	NA	NA	-1.52019	NA
6	73.3	NA	NA	4.98945	NA
7	60.5	61.8776	69.6208	-7.74324	-1.37759
8	65.9	60.7612	69.7708	-9.00966	5.13883
9	77.7	74.2506	69.3167	4.93397	3.44937
10	67.7	73.4259	68.8833	4.54254	-5.72588
11	67.7	68.6602	68.5583	0.101857	-0.960191
12	67.7	66.8609	68.0167	-1.15574	0.839074
13	67.7	65.9967	68.0833	-2.08662	1.70329
14	67.7	67.1443	68.4583	-1.31407	0.555741
15	67.7	76.4217	68.1167	8.30507	-8.72174
16	67.7	67.6566	67.7	-0.0433632	0.0433632
17	67.7	66.1798	67.7	-1.52019	1.52019
18	67.7	72.6894	67.7	4.98945	-4.98945
19	67.7	60.1859	67.9292	-7.74324	7.51407
20	67.7	59.3362	68.3458	-9.00966	8.36383
21	67.7	73.9506	69.0167	4.93397	-6.25063
22	67.7	74.4509	69.9083	4.54254	-6.75088
23	67.7	70.7477	70.6458	0.101857	-3.04769
24	67.7	70.2234	71.3792	-1.15574	-2.52343
25	73.2	69.7592	71.8458	-2.08662	3.44079
26	72.2	70.5693	71.8833	-1.31407	1.63074
27	79.3	80.5884	72.2833	8.30507	-1.28841
28	77.5	73.29	73.3333	-0.0433632	4.21003
29	75.6	72.7715	74.2917	-1.52019	2.82852
30	77.4	79.7144	74.725	4.98945	-2.31445
31	69.2	67.2151	74.9583	-7.74324	1.98491
32	67.1	66.1695	75.1792	-9.00966	0.930496
33	77.9	80.2506	75.3167	4.93397	-2.35063
34	82.7	79.93	75.3875	4.54254	2.76996
35	75.7	75.4227	75.3208	0.101857	0.277309
36	70.1	74.1359	75.2917	-1.15574	-4.03593
37	76.4	73.3467	75.4333	-2.08662	3.05329
38	74.3	74.1651	75.4792	-1.31407	0.134907
39	80.5	83.9467	75.6417	8.30507	-3.44674
40	78	75.8441	75.8875	-0.0433632	2.15586
41	73.5	74.384	75.9042	-1.52019	-0.883981
42	78.8	81.2936	76.3042	4.98945	-2.49362
43	71.2	68.9151	76.6583	-7.74324	2.28491
44	66.2	67.7153	76.725	-9.00966	-1.51534
45	82.7	82.1881	77.2542	4.93397	0.511868
46	83.8	82.3675	77.825	4.54254	1.43246
47	75	78.256	78.1542	0.101857	-3.25602
48	80.4	77.5943	78.75	-1.15574	2.80574
49	74.6	77.3009	79.3875	-2.08662	-2.70088
50	77.7	78.6318	79.9458	-1.31407	-0.931759
51	89.8	88.9217	80.6167	8.30507	0.878259
52	82.4	81.0816	81.125	-0.0433632	1.31836
53	77	80.2923	81.8125	-1.52019	-3.29231
54	89.6	87.6811	82.6917	4.98945	1.91888
55	75.7	75.7401	83.4833	-7.74324	-0.0400927
56	75.1	75.0737	84.0833	-9.00966	0.0263289
57	89.9	89.3048	84.3708	4.93397	0.595201
58	88.8	89.205	84.6625	4.54254	-0.405044
59	86.5	85.1852	85.0833	0.101857	1.31481
60	90	84.2443	85.4	-1.15574	5.75574
61	84	83.3134	85.4	-2.08662	0.686623
62	82.7	83.9984	85.3125	-1.31407	-1.29843
63	91.7	93.7092	85.4042	8.30507	-2.00924
64	87.5	85.3775	85.4208	-0.0433632	2.12253
65	82	83.9965	85.5167	-1.52019	-1.99648
66	92.2	90.7103	85.7208	4.98945	1.48972
67	73.1	78.1818	85.925	-7.74324	-5.08176
68	75.6	77.3028	86.3125	-9.00966	-1.70284
69	91.6	91.859	86.925	4.93397	-0.258965
70	87.5	91.7509	87.2083	4.54254	-4.25088
71	90.1	87.6352	87.5333	0.101857	2.46481
72	91.3	86.9859	88.1417	-1.15574	4.31407
73	87.6	86.4467	88.5333	-2.08662	1.15329
74	88.4	87.6401	88.9542	-1.31407	0.759907
75	100.7	97.6342	89.3292	8.30507	3.06576
76	85.3	89.9316	89.975	-0.0433632	-4.63164
77	92	89.1965	90.7167	-1.52019	2.80352
78	96.8	96.0061	91.0167	4.98945	0.793884
79	77.9	83.5776	91.3208	-7.74324	-5.67759
80	80.9	82.7195	91.7292	-9.00966	-1.8195
81	95.3	96.9381	92.0042	4.93397	-1.63813
82	99.3	96.9675	92.425	4.54254	2.33246
83	96.1	92.981	92.8792	0.101857	3.11898
84	92.5	92.1526	93.3083	-1.15574	0.347407
85	93.7	91.9592	94.0458	-2.08662	1.74079
86	92.1	93.5359	94.85	-1.31407	-1.43593
87	103.6	103.638	95.3333	8.30507	-0.0384076
88	92.5	95.8525	95.8958	-0.0433632	-3.35247
89	95.7	95.0048	96.525	-1.52019	0.695186
90	103.4	101.844	96.8542	4.98945	1.55638
91	89	89.5526	97.2958	-7.74324	-0.552593
92	89.1	89.0237	98.0333	-9.00966	0.0763289
93	98.7	103.384	98.45	4.93397	-4.68397
94	109.4	103.555	99.0125	4.54254	5.84496
95	101.1	99.7894	99.6875	0.101857	1.31064
96	95.4	98.7776	99.9333	-1.15574	-3.37759
97	101.4	98.2634	100.35	-2.08662	3.13662
98	102.1	99.2401	100.554	-1.31407	2.85991
99	103.6	109.188	100.883	8.30507	-5.58841
100	106	101.148	101.192	-0.0433632	4.8517
101	98.4	99.1923	100.712	-1.52019	-0.792314
102	106.6	105.302	100.312	4.98945	1.29805
103	95.8	91.8401	99.5833	-7.74324	3.95991
104	87.2	89.1528	98.1625	-9.00966	-1.95284
105	108.5	101.984	97.05	4.93397	6.51603
106	107	100.297	95.7542	4.54254	6.70329
107	92	94.5352	94.4333	0.101857	-2.53519
108	94.9	92.2484	93.4042	-1.15574	2.65157
109	84.4	90.1009	92.1875	-2.08662	-5.70088
110	85	90.0109	91.325	-1.31407	-5.01093
111	94	98.8634	90.5583	8.30507	-4.86341
112	84.5	89.5108	89.5542	-0.0433632	-5.0108
113	88.2	87.5506	89.0708	-1.52019	0.649353
114	92.1	93.9311	88.9417	4.98945	-1.83112
115	81.1	81.3109	89.0542	-7.74324	-0.210926
116	81.2	80.7528	89.7625	-9.00966	0.447162
117	96.1	95.7715	90.8375	4.93397	0.328535
118	95.3	96.4675	91.925	4.54254	-1.16754
119	92.1	92.7894	92.6875	0.101857	-0.689357
120	91.7	92.5401	93.6958	-1.15574	-0.840093
121	90.3	92.7509	94.8375	-2.08662	-2.45088
122	96.1	94.3693	95.6833	-1.31407	1.73074
123	108.7	104.884	96.5792	8.30507	3.81576
124	95.9	97.4358	97.4792	-0.0433632	-1.5358
125	95.1	96.9381	98.4583	-1.52019	-1.83815
126	109.4	104.498	99.5083	4.98945	4.90222
127	91.2	92.6484	100.392	-7.74324	-1.44843
128	91.4	92.0612	101.071	-9.00966	-0.661171
129	107.4	106.901	101.967	4.93397	0.499368
130	105.6	107.372	102.829	4.54254	-1.77171
131	105.3	103.814	103.712	0.101857	1.48564
132	103.7	103.044	104.2	-1.15574	0.655741
133	99.5	101.984	104.071	-2.08662	-2.48421
134	103.2	103.09	104.404	-1.31407	0.109907
135	123.1	113.222	104.917	8.30507	9.87826
136	102.2	105.007	105.05	-0.0433632	-2.80664
137	110	103.359	104.879	-1.52019	6.64102
138	106.2	109.635	104.646	4.98945	-3.43528
139	91.3	96.8359	104.579	-7.74324	-5.53593
140	99.3	95.6695	104.679	-9.00966	3.6305
141	111.8	109.43	104.496	4.93397	2.3702
142	104.4	108.601	104.058	4.54254	-4.20088
143	102.4	103.523	103.421	0.101857	-1.12269
144	101	101.836	102.992	-1.15574	-0.835926
145	100.6	101.076	103.162	-2.08662	-0.475877
146	104.5	101.79	103.104	-1.31407	2.70991
147	117.4	110.868	102.562	8.30507	6.53243
148	97.4	102.257	102.3	-0.0433632	-4.85664
149	99.5	100.784	102.304	-1.52019	-1.28398
150	106.4	106.927	101.937	4.98945	-0.526949
151	95.2	93.7693	101.512	-7.74324	1.43074
152	94	92.0695	101.079	-9.00966	1.9305
153	104.1	105.317	100.383	4.93397	-1.2173
154	105.8	104.805	100.262	4.54254	0.994956
155	101.1	100.694	100.592	0.101857	0.406476
156	93.5	99.5526	100.708	-1.15574	-6.05259
157	97.9	98.8925	100.979	-2.08662	-0.992544
158	96.8	99.7734	101.087	-1.31407	-2.97343
159	108.4	109.309	101.004	8.30507	-0.909241
160	103.5	101.29	101.333	-0.0433632	2.21003
161	101.3	100.292	101.812	-1.52019	1.00769
162	107.4	107.302	102.312	4.98945	0.0980507
163	100.7	95.0484	102.792	-7.74324	5.65157
164	91.1	94.2278	103.238	-9.00966	-3.12784
165	105	108.496	103.562	4.93397	-3.49647
166	112.8	108.213	103.671	4.54254	4.58662
167	105.6	103.902	103.8	0.101857	1.69814
168	101	102.757	103.912	-1.15574	-1.75676
169	101.9	101.713	103.8	-2.08662	0.186623
170	103.5	102.215	103.529	-1.31407	1.28491
171	109.5	112.03	103.725	8.30507	-2.53007
172	105	103.927	103.971	-0.0433632	1.07253
173	102.9	102.221	103.742	-1.52019	0.678519
174	108.5	108.573	103.583	4.98945	-0.0727826
175	96.9	95.8443	103.588	-7.74324	1.05574
176	88.4	94.3778	103.388	-9.00966	-5.97784
177	112.4	108.33	103.396	4.93397	4.0702
178	111.3	108.122	103.579	4.54254	3.17829
179	101.6	103.439	103.338	0.101857	-1.83936
180	101.2	101.986	103.142	-1.15574	-0.785926
181	101.8	100.98	103.067	-2.08662	0.819956
182	98.8	101.736	103.05	-1.31407	-2.93593
183	114.4	111.413	103.108	8.30507	2.98659
184	104.5	103.007	103.05	-0.0433632	1.49336
185	97.6	101.713	103.233	-1.52019	-4.11315
186	109.1	108.464	103.475	4.98945	0.635551
187	94.5	95.8359	103.579	-7.74324	-1.33593
188	90.4	95.007	104.017	-9.00966	-4.607
189	111.8	109.438	104.504	4.93397	2.36187
190	110.5	109.388	104.846	4.54254	1.11162
191	106.8	105.377	105.275	0.101857	1.42314
192	101.8	104.603	105.758	-1.15574	-2.80259
193	103.7	104.076	106.162	-2.08662	-0.375877
194	107.4	105.394	106.708	-1.31407	2.00574
195	117.5	115.468	107.162	8.30507	2.03243
196	109.6	107.09	107.133	-0.0433632	2.51003
197	102.8	105.63	107.15	-1.52019	-2.82981
198	115.5	112.735	107.746	4.98945	2.76472
199	97.8	100.64	108.383	-7.74324	-2.84009
200	100.2	99.5987	108.608	-9.00966	0.601329
201	112.9	113.926	108.992	4.93397	-1.02563
202	108.7	113.601	109.058	4.54254	-4.90088
203	109	109.269	109.167	0.101857	-0.268524
204	113.9	108.478	109.633	-1.15574	5.42241
205	106.9	107.859	109.946	-2.08662	-0.95921
206	109.6	109.015	110.329	-1.31407	0.584907
207	124.5	NA	NA	8.30507	NA
208	104.2	NA	NA	-0.0433632	NA
209	110.8	NA	NA	-1.52019	NA
210	118.7	NA	NA	4.98945	NA
211	102.1	NA	NA	-7.74324	NA
212	105.1	NA	NA	-9.00966	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- '12'
par1 <- 'additive'
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code