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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_exponentialsmoothing.wasp

Title produced by software

Exponential Smoothing

Date of computation

Fri, 08 Mar 2019 18:15:28 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2019/Mar/08/t1552065455jzeutk1v47r0p56.htm/, Retrieved Sat, 27 Apr 2024 08:03:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=318754, Retrieved Sat, 27 Apr 2024 08:03:24 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

128

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Exponential Smoothing] [] [2019-03-08 17:15:28] [f92db1853d7ab8ec6d36b09bbbcbbb47] [Current]

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Dataseries X:

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Histogram

Boxplots

5,1
5,4
5,8
6,7
7,6
7,8
7,8
8,2
7,7
7,5
8,3
8,9
9,31
10,4
11,3
12,2
14,19
16,31
19,21
23,6
26,4
27,09
26,81
27,9
27,39
28,4
27,1
26,6
24,91
22,79
19,4
15,3
11,49
8,61
7,4
6,6
4,3
4,4
3,4
3,2
2,7
1,11
1,1
2,5
2,91
3,1
3,7
4,3
2,2
1,8
1,6
1,3
3,6
4,4
4,7
4,9
4,5
4,8
4,4
4,5
5,5
5,3
5,3
7,1
4,7
4,8
5,2
5,8
7,5
7,9
8,2
8,8
10,3
10,8
12,2
12,6
14
15,1
16,2
16,4
15,7
15,9
16,7
18,8
21,1
23,2
22,4
21,7
21,3
22,6
24
25,8
27,3
27,7
27,5
25,5
24,1
22,4
21,3
20,7
20,3
18,9
16,7
14,5
13,2
12,1
11,2
10,1
9
9,3
9,8
9,7
8,9
8,6
8,3
8,1
7,4
7
6,9
7
5,9
5,6
4
3,2
2,8
2,8
2,7
1,9
1,8
1,5
1,1
0,4
0,3
-1
0,7
-0,3
-1
-1,3
-1,4
-1,4
-1,5
-1,1
-1,2
-1
-1,2
-1,3
-1,8
-1,3
-2,2
-2,68
-1,4
-1,7
-0,8
-0,6
-0,9
-1
-0,2
0,7
-0,2
-0,3
0,1
0,5
0,5
0,3
0
0
1,3
0,4
1,2
0
0,8
1,6
1,7
1,4
1,5
1
-0,1
0,2
-0,3
-0,3
-1
0
-0,8
-1,3
-1,1
-0,8
-0,9
-0,7
-0,7
-0,8
-0,7
-0,4
0,4
0,2
0,9
1
0,7
0,3
0,5
0,9
1,1
1,8
3
3,2
3,2
2,1
3
3,8
4,4
5
5,3
5,3
5,2
4,3
2,8
2,4
1,9
3,9
2,7
1,8
1,8
1,6
1,8
1,3
0,9
1,2
1,3
1,6
1,9
0,9
0,8
1,2
1,4
1,5
1
1,3
1,5
1,4
1,9
2,8
2,2
2,7
3,3
3
3,4
4,4
5,6
6,5
6,2
6,5
6,9
6,5
7,1
8,7
8,3
8,5
7,7
7,1
6,3
4,9
4,6
4
2,4
1,2
1
-1,6
-1,2
-1,5
-1,4
-1,7
-1,8
-1,2
-0,8
-0,5
0,6
1,9
1,5
2,7
2,4
2,8
3,1
2,9
3,3
3,5
3,6
4,4
5,1
4,6
4,9
4,9
5,4
5,3
5,5
6,4
6,5
6,2
6,1
5,5
4,2
4,1
4,5
3,2
3,6
3,4
3
2,2
1,8
2
1,9
1,7
2
2,5
2
3,2
2,1
2,4
2,1
2,7
2,7
2,6
3,1
3,2
3
2,5
2,5
2
2,4
1,8
2,5
2,3
2,3
2
1,6
1,6
1,4
1,5
0,8
1,4
1,4
1,5
1,2
1,4
1,6
2
1,6
1,3
1,5
1,6
1,8
2,3
2,3
2,3
2
1,9
1,8
1,3
1,9
2,1
2,3
2,1
2,5
0,8
0,9
1,2
1,5
1,5
1,4
1,8
1,6
1,9
1,7
1,8
1,5
2,9
2,1
1,8
1,8
1,9
2,1
2,3
2,5
2,5
2,2
1,9
1,7

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318754&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]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=318754&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318754&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	2 seconds
R Server	Big Analytics Cloud Computing Center

Estimated Parameters of Exponential Smoothing
Parameter	Value
alpha	0.928823511067531
beta	0.17743062680492
gamma	1

\begin{tabular}{lllllllll}
\hline
Estimated Parameters of Exponential Smoothing \tabularnewline
Parameter & Value \tabularnewline
alpha & 0.928823511067531 \tabularnewline
beta & 0.17743062680492 \tabularnewline
gamma & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318754&T=1

[TABLE]
[ROW][C]Estimated Parameters of Exponential Smoothing[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]alpha[/C][C]0.928823511067531[/C][/ROW]
[ROW][C]beta[/C][C]0.17743062680492[/C][/ROW]
[ROW][C]gamma[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318754&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318754&T=1

As an alternative you can also use a QR Code:

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

Estimated Parameters of Exponential Smoothing
Parameter	Value
alpha	0.928823511067531
beta	0.17743062680492
gamma	1

Interpolation Forecasts of Exponential Smoothing
t	Observed	Fitted	Residuals
13	9.31	5.93045940170941	3.37954059829059
14	10.4	10.543208114985	-0.143208114985006
15	11.3	11.3665940535765	-0.0665940535764964
16	12.2	12.0755827845954	0.124417215404634
17	14.19	14.0804081130953	0.109591886904655
18	16.31	16.2441075946648	0.0658924053351555
19	19.21	19.8372438199022	-0.627243819902219
20	23.6	20.6832079512475	2.91679204875251
21	26.4	24.3478983197845	2.05210168021553
22	27.09	27.8268005338568	-0.736800533856769
23	26.81	29.5484621264018	-2.73846212640177
24	27.9	28.6342133867029	-0.734213386702859
25	27.39	29.3102688571063	-1.92026885710631
26	28.4	28.4698604244248	-0.069860424424796
27	27.1	29.0990817344459	-1.99908173444589
28	26.6	27.4405038481516	-0.840503848151577
29	24.91	27.8027897876453	-2.89278978764527
30	22.79	25.9346556836229	-3.14465568362294
31	19.4	24.7272799319316	-5.32727993193165
32	15.3	18.9162735049154	-3.61627350491544
33	11.49	12.8309742628468	-1.34097426284677
34	8.61	8.78023958625643	-0.170239586256431
35	7.4	6.79947137957332	0.600528620426682
36	6.6	5.59328893082244	1.00671106917756
37	4.3	4.55292187223308	-0.25292187223308
38	4.4	2.41865694554992	1.98134305445008
39	3.4	2.1795778213414	1.2204221786586
40	3.2	1.48820295704685	1.71179704295315
41	2.7	2.39006367363186	0.309936326368141
42	1.11	2.32159699238916	-1.21159699238916
43	1.1	1.91573854097443	-0.815738540974426
44	2.5	0.321849590493457	2.17815040950654
45	2.91	0.640334786411023	2.26966521358898
46	3.1	1.48145485127289	1.61854514872711
47	3.7	2.96668649221621	0.733313507783793
48	4.3	3.68430554431238	0.615694455687617
49	2.2	3.89821372937339	-1.69821372937339
50	1.8	2.04948518621434	-0.249485186214338
51	1.6	0.785486603887987	0.814513396112013
52	1.3	0.786459921128816	0.513540078871184
53	3.6	1.31248850795495	2.28751149204505
54	4.4	4.13536719448735	0.264632805512652
55	4.7	6.53495119622936	-1.83495119622936
56	4.9	5.44562975022727	-0.545629750227267
57	4.5	4.02997557135304	0.470024428646957
58	4.8	3.64587656900075	1.15412343099925
59	4.4	5.05287125864518	-0.652871258645177
60	4.5	4.66228847874635	-0.16228847874635
61	5.5	4.04836990413645	1.45163009586355
62	5.3	5.80698345060329	-0.506983450603295
63	5.3	4.91568762556769	0.38431237443231
64	7.1	4.96090153543987	2.13909846456013
65	4.7	7.85619051299111	-3.15619051299111
66	4.8	5.31485632410792	-0.514856324107923
67	5.2	6.54853725159877	-1.34853725159877
68	5.8	5.79048552388295	0.00951447611704825
69	7.5	4.84194942287199	2.65805057712801
70	7.9	6.77861919664218	1.12138080335782
71	8.2	8.26097706596958	-0.060977065969583
72	8.8	8.78701351919799	0.012986480802013
73	10.3	8.81158915450288	1.48841084549712
74	10.8	10.8318414710479	-0.0318414710479491
75	12.2	10.8904953995351	1.30950460046494
76	12.6	12.5176098049285	0.0823901950714827
77	14	13.3843913031924	0.615608696807588
78	15.1	15.4147044514399	-0.3147044514399
79	16.2	17.6882486975535	-1.48824869755353
80	16.4	17.7873623935722	-1.38736239357218
81	15.7	16.389951324582	-0.689951324581973
82	15.9	15.2158505365481	0.684149463451936
83	16.7	16.2441921699239	0.455807830076079
84	18.8	17.3769126933777	1.42308730662231
85	21.1	19.1700433642018	1.9299566357982
86	23.2	21.9187797929076	1.28122020709239
87	22.4	23.9354756527896	-1.53547565278964
88	21.7	23.0068731953569	-1.30687319535692
89	21.3	22.5663831731781	-1.26638317317807
90	22.6	22.4174424296865	0.182557570313456
91	24	24.7862770472689	-0.786277047268914
92	25.8	25.3772158704471	0.42278412955287
93	27.3	25.8417026358305	1.45829736416947
94	27.7	27.2457364380917	0.454263561908324
95	27.5	28.4914035204803	-0.991403520480318
96	25.5	28.5573661625033	-3.05736616250326
97	24.1	25.6952354619864	-1.59523546198643
98	22.4	24.012769996179	-1.61276999617899
99	21.3	21.5532967663838	-0.253296766383752
100	20.7	20.4555082065366	0.244491793463386
101	20.3	20.33813692611	-0.0381369261099778
102	18.9	20.5148603332559	-1.61486033325593
103	16.7	19.9307447465519	-3.23074474655193
104	14.5	16.7199007535203	-2.21990075352031
105	13.2	12.7506243278222	0.449375672177823
106	12.1	10.9269327571936	1.17306724280638
107	11.2	10.6366526031454	0.563347396854589
108	10.1	10.1551906488713	-0.055190648871335
109	9	8.83591838605022	0.164081613949776
110	9.3	7.72653635526088	1.57346364473912
111	9.8	7.78860763317628	2.01139236682372
112	9.7	8.66830439104761	1.03169560895239
113	8.9	9.23028052289784	-0.330280522897844
114	8.6	8.94357320055438	-0.343573200554378
115	8.3	9.55490108957633	-1.25490108957633
116	8.1	8.70649301044537	-0.606493010445371
117	7.4	7.14694729802462	0.253052701975385
118	7	5.88123173992482	1.11876826007518
119	6.9	6.17698670745687	0.723013292543135
120	7	6.50598105295384	0.49401894704616
121	5.9	6.50912552922007	-0.609125529220068
122	5.6	5.45115043270998	0.148849567290024
123	4	4.65566305779743	-0.655663057797434
124	3.2	2.9833554555011	0.2166445444989
125	2.8	2.5519812840909	0.248018715909097
126	2.8	2.75739945175977	0.042600548240225
127	2.7	3.68212527019111	-0.98212527019111
128	1.9	3.19775891645608	-1.29775891645608
129	1.8	1.00793652208778	0.792063477912219
130	1.5	0.343923249849836	1.15607675015016
131	1.1	0.691749085670209	0.408250914329791
132	0.4	0.705798648085017	-0.305798648085017
133	0.3	-0.250562615046708	0.550562615046708
134	-1	-0.124421872021783	-0.875578127978217
135	0.7	-2.04449140446737	2.74449140446737
136	-0.3	-0.0520236893408548	-0.247976310659145
137	-1	-0.544741736509953	-0.455258263490047
138	-1.3	-0.755092179488607	-0.544907820511394
139	-1.4	-0.29374420634726	-1.10625579365274
140	-1.4	-0.78107840299034	-0.61892159700966
141	-1.5	-1.94496774398783	0.444967743987825
142	-1.1	-2.71599771760771	1.61599771760771
143	-1.2	-1.72895352640176	0.528953526401763
144	-1	-1.36846351569732	0.368463515697318
145	-1.2	-1.24132929909382	0.041329299093825
146	-1.3	-1.3773345173277	0.0773345173276963
147	-1.8	-1.68526127589978	-0.114738724100222
148	-1.3	-2.5633219008803	1.2633219008803
149	-2.2	-1.4198144949581	-0.780185505041901
150	-2.68	-1.74464477043211	-0.935355229567894
151	-1.4	-1.55655355042429	0.156553550424286
152	-1.7	-0.498806068844684	-1.20119393115532
153	-0.8	-1.88629129585825	1.08629129585825
154	-0.6	-1.63109539865033	1.03109539865033
155	-0.9	-1.01388746470607	0.113887464706069
156	-1	-0.867940537365736	-0.132059462634264
157	-0.2	-1.12907200357572	0.929072003575724
158	0.7	-0.191740568470797	0.891740568470797
159	-0.2	0.62353422696251	-0.82353422696251
160	-0.3	-0.551164374290592	0.251164374290592
161	0.1	-0.396405242995965	0.496405242995965
162	0.5	0.760649035057251	-0.260649035057251
163	0.5	2.07153570703528	-1.57153570703528
164	0.3	1.56115568808543	-1.26115568808543
165	0	0.404512066290722	-0.404512066290722
166	0	-0.850880556674228	0.850880556674228
167	1.3	-0.618010421351273	1.91801042135127
168	0.4	1.33179890862214	-0.931798908622138
169	1.2	0.41723602625333	0.78276397374667
170	0	1.20576195729568	-1.20576195729568
171	0.8	-0.405186252043557	1.20518625204356
172	1.6	0.359342251631595	1.2406577483684
173	1.7	1.59210225788772	0.107897742112276
174	1.4	2.41187123926787	-1.01187123926787
175	1.5	2.88535210035856	-1.38535210035856
176	1	2.55433027969098	-1.55433027969098
177	-0.1	1.12237113450947	-1.22237113450947
178	0.2	-1.00207933142927	1.20207933142927
179	-0.3	-0.507940342481063	0.207940342481063
180	-0.3	-0.772033632686892	0.472033632686892
181	-1	-0.452003139850663	-0.547996860149337
182	0	-1.45172301161575	1.45172301161575
183	-0.8	-0.395443290789622	-0.404556709210378
184	-1.3	-1.36155501490529	0.0615550149052879
185	-1.1	-1.73691526414253	0.636915264142525
186	-0.8	-0.850616622748524	0.0506166227485241
187	-0.9	0.413111706735613	-1.31311170673561
188	-0.7	-0.0209666506871071	-0.679033349312893
189	-0.7	-0.630179125452814	-0.069820874547186
190	-0.8	-1.33548503890566	0.535485038905664
191	-0.7	-1.46504482013999	0.765044820139995
192	-0.4	-1.03486835039472	0.634868350394725
193	0.4	-0.451339098138655	0.851339098138655
194	0.2	0.406479439271698	-0.206479439271698
195	0.9	-0.0673471489504772	0.967347148950477
196	1	0.6422606076058	0.3577393923942
197	0.7	1.00005392062575	-0.300053920625749
198	0.3	1.23702715184622	-0.937027151846215
199	0.5	1.58626219478125	-1.08626219478125
200	0.9	1.54532252870981	-0.645322528709806
201	1.1	1.15364272346646	-0.0536427234664612
202	1.8	0.651972855965623	1.14802714403438
203	3	1.3541696953113	1.6458303046887
204	3.2	2.9848037582909	0.2151962417091
205	3.2	3.51640545507731	-0.316405455077315
206	2.1	3.34432339372532	-1.24432339372532
207	3	1.94905311434127	1.05094688565873
208	3.8	2.66567923340806	1.13432076659194
209	4.4	3.79870082783022	0.601299172169782
210	5	5.07681970255253	-0.076819702552525
211	5.3	6.60546252216491	-1.30546252216491
212	5.3	6.74723328053722	-1.44723328053722
213	5.2	5.87560162578811	-0.675601625788107
214	4.3	5.00204046045991	-0.70204046045991
215	2.8	3.83665664818997	-1.03665664818997
216	2.4	2.24720149564953	0.152798504350465
217	1.9	2.0460211530987	-0.146021153098701
218	3.9	1.3572417139506	2.5427582860494
219	2.7	3.65808047607718	-0.958080476077178
220	1.8	2.19872706624314	-0.398727066243143
221	1.8	1.30134829634455	0.49865170365545
222	1.6	1.85041229921355	-0.250412299213552
223	1.8	2.51631202089177	-0.71631202089177
224	1.3	2.67824616724542	-1.37824616724542
225	0.9	1.42001988902599	-0.520019889025992
226	1.2	0.209131507663243	0.990868492336757
227	1.3	0.391385497146563	0.908614502853437
228	1.6	0.813030202384774	0.786969797615226
229	1.9	1.40375169997623	0.496248300023765
230	0.9	1.83288979826091	-0.932889798260911
231	0.8	0.413479336880098	0.386520663119902
232	1.2	0.221620339062163	0.978379660937837
233	1.4	0.872936975559937	0.527063024440063
234	1.5	1.6054906013391	-0.105490601339103
235	1	2.60713551042693	-1.60713551042693
236	1.3	1.98202806147811	-0.682028061478115
237	1.5	1.6337793700408	-0.133779370040802
238	1.4	1.15506141063601	0.244938589363985
239	1.9	0.781574491044166	1.11842550895583
240	2.8	1.56696643960813	1.23303356039187
241	2.2	2.80235008629653	-0.602350086296525
242	2.7	2.17935239319526	0.520647606804737
243	3.3	2.51346739329587	0.78653260670413
244	3	3.11073274356044	-0.110732743560436
245	3.4	2.91430282687095	0.485697173129054
246	4.4	3.75256455496144	0.647435445038565
247	5.6	5.65989921032425	-0.0598992103242546
248	6.5	7.10597048972792	-0.605970489727925
249	6.2	7.44814607157798	-1.24814607157798
250	6.5	6.3584421610985	0.141557838901502
251	6.9	6.33117540124085	0.568824598759152
252	6.5	6.90373821563039	-0.403738215630388
253	7.1	6.5079664718932	0.592033528106797
254	8.7	7.29086077037434	1.40913922962566
255	8.3	8.83216677973275	-0.532166779732746
256	8.5	8.2864193279467	0.2135806720533
257	7.7	8.63280892784496	-0.932808927844964
258	7.1	8.13040633446195	-1.03040633446195
259	6.3	8.11783079233992	-1.81783079233992
260	4.9	7.29137056400096	-2.39137056400096
261	4.6	5.03442385502995	-0.434423855029955
262	4	4.03844842912254	-0.0384484291225355
263	2.4	3.08374353077145	-0.683743530771449
264	1.2	1.42658717401789	-0.226587174017891
265	1	0.298346981914913	0.701653018085087
266	-1.6	0.291396599997748	-1.89139659999775
267	-1.2	-2.86484260915128	1.66484260915128
268	-1.5	-2.44856003123726	0.948560031237256
269	-1.4	-2.51165806341789	1.11165806341789
270	-1.7	-1.79568432986243	0.0956843298624339
271	-1.8	-1.30641083863787	-0.493589161362129
272	-1.2	-1.21351387406136	0.0135138740613583
273	-0.8	-0.970936666343992	0.170936666343992
274	-0.5	-1.15016828747076	0.650168287470763
275	0.6	-1.1714278181147	1.7714278181147
276	1.9	0.228763797719974	1.67123620228003
277	1.5	1.98648836118765	-0.486488361187646
278	2.7	1.5527453063301	1.1472546936699
279	2.4	2.83411763707238	-0.434117637072384
280	2.8	2.26606197013766	0.533938029862341
281	3.1	2.77733945343579	0.322660546564209
282	2.9	3.5060095713751	-0.606009571375104
283	3.3	4.00379974854531	-0.703799748545307
284	3.5	4.60510781811001	-1.10510781811001
285	3.6	4.30310272806617	-0.703102728066167
286	4.4	3.68532460920494	0.714675390795056
287	5.1	4.15359080927419	0.946409190725808
288	4.6	4.99419263594929	-0.394192635949286
289	4.9	4.55337101022566	0.346628989774343
290	4.9	5.02048215478285	-0.120482154782849
291	5.4	4.81362005089153	0.586379949108469
292	5.3	5.23233500028834	0.0676649997116554
293	5.5	5.18865219735029	0.311347802649712
294	6.4	5.73201399073588	0.667986009264116
295	6.5	7.50741623666477	-1.00741623666477
296	6.2	7.84937333141775	-1.64937333141775
297	6.1	7.03197790187013	-0.931977901870134
298	5.5	6.22633153737035	-0.726331537370348
299	4.2	5.05897410361317	-0.858974103613171
300	4.1	3.51606732712755	0.583932672872447
301	4.5	3.58647049608178	0.913529503918218
302	3.2	4.19030095409893	-0.990300954098927
303	3.6	2.72591113078288	0.874088869217117
304	3.4	2.9224199797027	0.477580020297298
305	3	2.89185847851415	0.10814152148585
306	2.2	2.85341111422809	-0.653411114228089
307	1.8	2.64600021126717	-0.846000211267172
308	2	2.48257451119208	-0.482574511192075
309	1.9	2.38266387736604	-0.482663877366036
310	1.7	1.66570879186172	0.0342912081382842
311	2	0.977467228273897	1.0225327717261
312	2.5	1.37699752794511	1.12300247205489
313	2	2.15254880126207	-0.152548801262072
314	3.2	1.63596899556111	1.56403100443889
315	2.1	3.10305811591053	-1.00305811591053
316	2.4	1.64470416231707	0.755295837682926
317	2.1	2.00846191449789	0.0915380855021142
318	2.7	2.06031757866347	0.639682421336527
319	2.7	3.41328793246281	-0.713287932462814
320	2.6	3.79390049128907	-1.19390049128907
321	3.1	3.31096405353292	-0.210964053532924
322	3.2	3.20561865458406	-0.00561865458405997
323	3	2.86652367646354	0.133476323536462
324	2.5	2.61678671684923	-0.116786716849234
325	2.5	2.11504216081509	0.384957839184913
326	2	2.27351209121993	-0.273512091219933
327	2.4	1.60192210354676	0.79807789645324
328	1.8	1.98927994255226	-0.189279942552261
329	2.5	1.32040268270286	1.17959731729714
330	2.3	2.49315551117126	-0.193155511171263
331	2.3	2.91028077351033	-0.61028077351033
332	2	3.30335028827789	-1.30335028827789
333	1.6	2.72166855291108	-1.12166855291108
334	1.6	1.56792176636802	0.0320782336319789
335	1.4	1.06281994772115	0.337180052278854
336	1.5	0.807124795849338	0.692875204150662
337	0.8	1.04920921519291	-0.249209215192913
338	1.4	0.423353996539277	0.976646003460723
339	1.4	1.04681217783848	0.353187822161516
340	1.5	0.934950259529335	0.565049740470665
341	1.2	1.1727401319378	0.027259868062204
342	1.4	1.09615601468549	0.303843985314506
343	1.6	1.94581185973236	-0.345811859732355
344	2	2.5793762784916	-0.579376278491596
345	1.6	2.84656248132394	-1.24656248132394
346	1.3	1.80184057510783	-0.501840575107834
347	1.5	0.877457394660602	0.622542605339398
348	1.6	1.01407797246634	0.585922027533659
349	1.8	1.17408858534853	0.625911414651471
350	2.3	1.67686053347645	0.623139466523548
351	2.3	2.09788195637309	0.202118043626909
352	2.3	2.00616989016932	0.29383010983068
353	2	2.05445655836712	-0.0544565583671215
354	1.9	2.00888154058055	-0.108881540580555
355	1.8	2.44815305882133	-0.648153058821331
356	1.3	2.75365028055713	-1.45365028055713
357	1.9	1.98659910127703	-0.0865991012770317
358	2.1	2.08874596321386	0.011254036786136
359	2.3	1.82198647064257	0.478013529357425
360	2.1	1.89895957956164	0.201040420438358
361	2.5	1.71810131235389	0.781898687646106
362	0.8	2.40503948457726	-1.60503948457726
363	0.9	0.398780196043157	0.501219803956843
364	1.2	0.312972221634661	0.887027778365339
365	1.5	0.706768617237219	0.793231382762781
366	1.5	1.40369636419628	0.0963036358037166
367	1.4	1.98800417288625	-0.588004172886253
368	1.8	2.29478819863209	-0.494788198632087
369	1.6	2.67642627409759	-1.07642627409759
370	1.9	1.8638116967111	0.0361883032889037
371	1.7	1.6551917172929	0.0448082827070977
372	1.8	1.24044433546608	0.559555664533919
373	1.5	1.42337554420031	0.0766244557996876
374	2.9	1.15856276685401	1.74143723314599
375	2.1	2.83522926949144	-0.735229269491442
376	1.8	1.84939322206204	-0.0493932220620359
377	1.8	1.43337430956648	0.366625690433521
378	1.9	1.68078106150233	0.219218938497666
379	2.1	2.34713079354966	-0.247130793549655
380	2.3	3.04991926686779	-0.749919266867793
381	2.5	3.18389906109695	-0.683899061096946
382	2.5	2.91046656323908	-0.410466563239082
383	2.2	2.30938866035028	-0.109388660350278
384	1.9	1.78443759765318	0.115562402346818
385	1.7	1.44381337056729	0.256186629432713

\begin{tabular}{lllllllll}
\hline
Interpolation Forecasts of Exponential Smoothing \tabularnewline
t & Observed & Fitted & Residuals \tabularnewline
13 & 9.31 & 5.93045940170941 & 3.37954059829059 \tabularnewline
14 & 10.4 & 10.543208114985 & -0.143208114985006 \tabularnewline
15 & 11.3 & 11.3665940535765 & -0.0665940535764964 \tabularnewline
16 & 12.2 & 12.0755827845954 & 0.124417215404634 \tabularnewline
17 & 14.19 & 14.0804081130953 & 0.109591886904655 \tabularnewline
18 & 16.31 & 16.2441075946648 & 0.0658924053351555 \tabularnewline
19 & 19.21 & 19.8372438199022 & -0.627243819902219 \tabularnewline
20 & 23.6 & 20.6832079512475 & 2.91679204875251 \tabularnewline
21 & 26.4 & 24.3478983197845 & 2.05210168021553 \tabularnewline
22 & 27.09 & 27.8268005338568 & -0.736800533856769 \tabularnewline
23 & 26.81 & 29.5484621264018 & -2.73846212640177 \tabularnewline
24 & 27.9 & 28.6342133867029 & -0.734213386702859 \tabularnewline
25 & 27.39 & 29.3102688571063 & -1.92026885710631 \tabularnewline
26 & 28.4 & 28.4698604244248 & -0.069860424424796 \tabularnewline
27 & 27.1 & 29.0990817344459 & -1.99908173444589 \tabularnewline
28 & 26.6 & 27.4405038481516 & -0.840503848151577 \tabularnewline
29 & 24.91 & 27.8027897876453 & -2.89278978764527 \tabularnewline
30 & 22.79 & 25.9346556836229 & -3.14465568362294 \tabularnewline
31 & 19.4 & 24.7272799319316 & -5.32727993193165 \tabularnewline
32 & 15.3 & 18.9162735049154 & -3.61627350491544 \tabularnewline
33 & 11.49 & 12.8309742628468 & -1.34097426284677 \tabularnewline
34 & 8.61 & 8.78023958625643 & -0.170239586256431 \tabularnewline
35 & 7.4 & 6.79947137957332 & 0.600528620426682 \tabularnewline
36 & 6.6 & 5.59328893082244 & 1.00671106917756 \tabularnewline
37 & 4.3 & 4.55292187223308 & -0.25292187223308 \tabularnewline
38 & 4.4 & 2.41865694554992 & 1.98134305445008 \tabularnewline
39 & 3.4 & 2.1795778213414 & 1.2204221786586 \tabularnewline
40 & 3.2 & 1.48820295704685 & 1.71179704295315 \tabularnewline
41 & 2.7 & 2.39006367363186 & 0.309936326368141 \tabularnewline
42 & 1.11 & 2.32159699238916 & -1.21159699238916 \tabularnewline
43 & 1.1 & 1.91573854097443 & -0.815738540974426 \tabularnewline
44 & 2.5 & 0.321849590493457 & 2.17815040950654 \tabularnewline
45 & 2.91 & 0.640334786411023 & 2.26966521358898 \tabularnewline
46 & 3.1 & 1.48145485127289 & 1.61854514872711 \tabularnewline
47 & 3.7 & 2.96668649221621 & 0.733313507783793 \tabularnewline
48 & 4.3 & 3.68430554431238 & 0.615694455687617 \tabularnewline
49 & 2.2 & 3.89821372937339 & -1.69821372937339 \tabularnewline
50 & 1.8 & 2.04948518621434 & -0.249485186214338 \tabularnewline
51 & 1.6 & 0.785486603887987 & 0.814513396112013 \tabularnewline
52 & 1.3 & 0.786459921128816 & 0.513540078871184 \tabularnewline
53 & 3.6 & 1.31248850795495 & 2.28751149204505 \tabularnewline
54 & 4.4 & 4.13536719448735 & 0.264632805512652 \tabularnewline
55 & 4.7 & 6.53495119622936 & -1.83495119622936 \tabularnewline
56 & 4.9 & 5.44562975022727 & -0.545629750227267 \tabularnewline
57 & 4.5 & 4.02997557135304 & 0.470024428646957 \tabularnewline
58 & 4.8 & 3.64587656900075 & 1.15412343099925 \tabularnewline
59 & 4.4 & 5.05287125864518 & -0.652871258645177 \tabularnewline
60 & 4.5 & 4.66228847874635 & -0.16228847874635 \tabularnewline
61 & 5.5 & 4.04836990413645 & 1.45163009586355 \tabularnewline
62 & 5.3 & 5.80698345060329 & -0.506983450603295 \tabularnewline
63 & 5.3 & 4.91568762556769 & 0.38431237443231 \tabularnewline
64 & 7.1 & 4.96090153543987 & 2.13909846456013 \tabularnewline
65 & 4.7 & 7.85619051299111 & -3.15619051299111 \tabularnewline
66 & 4.8 & 5.31485632410792 & -0.514856324107923 \tabularnewline
67 & 5.2 & 6.54853725159877 & -1.34853725159877 \tabularnewline
68 & 5.8 & 5.79048552388295 & 0.00951447611704825 \tabularnewline
69 & 7.5 & 4.84194942287199 & 2.65805057712801 \tabularnewline
70 & 7.9 & 6.77861919664218 & 1.12138080335782 \tabularnewline
71 & 8.2 & 8.26097706596958 & -0.060977065969583 \tabularnewline
72 & 8.8 & 8.78701351919799 & 0.012986480802013 \tabularnewline
73 & 10.3 & 8.81158915450288 & 1.48841084549712 \tabularnewline
74 & 10.8 & 10.8318414710479 & -0.0318414710479491 \tabularnewline
75 & 12.2 & 10.8904953995351 & 1.30950460046494 \tabularnewline
76 & 12.6 & 12.5176098049285 & 0.0823901950714827 \tabularnewline
77 & 14 & 13.3843913031924 & 0.615608696807588 \tabularnewline
78 & 15.1 & 15.4147044514399 & -0.3147044514399 \tabularnewline
79 & 16.2 & 17.6882486975535 & -1.48824869755353 \tabularnewline
80 & 16.4 & 17.7873623935722 & -1.38736239357218 \tabularnewline
81 & 15.7 & 16.389951324582 & -0.689951324581973 \tabularnewline
82 & 15.9 & 15.2158505365481 & 0.684149463451936 \tabularnewline
83 & 16.7 & 16.2441921699239 & 0.455807830076079 \tabularnewline
84 & 18.8 & 17.3769126933777 & 1.42308730662231 \tabularnewline
85 & 21.1 & 19.1700433642018 & 1.9299566357982 \tabularnewline
86 & 23.2 & 21.9187797929076 & 1.28122020709239 \tabularnewline
87 & 22.4 & 23.9354756527896 & -1.53547565278964 \tabularnewline
88 & 21.7 & 23.0068731953569 & -1.30687319535692 \tabularnewline
89 & 21.3 & 22.5663831731781 & -1.26638317317807 \tabularnewline
90 & 22.6 & 22.4174424296865 & 0.182557570313456 \tabularnewline
91 & 24 & 24.7862770472689 & -0.786277047268914 \tabularnewline
92 & 25.8 & 25.3772158704471 & 0.42278412955287 \tabularnewline
93 & 27.3 & 25.8417026358305 & 1.45829736416947 \tabularnewline
94 & 27.7 & 27.2457364380917 & 0.454263561908324 \tabularnewline
95 & 27.5 & 28.4914035204803 & -0.991403520480318 \tabularnewline
96 & 25.5 & 28.5573661625033 & -3.05736616250326 \tabularnewline
97 & 24.1 & 25.6952354619864 & -1.59523546198643 \tabularnewline
98 & 22.4 & 24.012769996179 & -1.61276999617899 \tabularnewline
99 & 21.3 & 21.5532967663838 & -0.253296766383752 \tabularnewline
100 & 20.7 & 20.4555082065366 & 0.244491793463386 \tabularnewline
101 & 20.3 & 20.33813692611 & -0.0381369261099778 \tabularnewline
102 & 18.9 & 20.5148603332559 & -1.61486033325593 \tabularnewline
103 & 16.7 & 19.9307447465519 & -3.23074474655193 \tabularnewline
104 & 14.5 & 16.7199007535203 & -2.21990075352031 \tabularnewline
105 & 13.2 & 12.7506243278222 & 0.449375672177823 \tabularnewline
106 & 12.1 & 10.9269327571936 & 1.17306724280638 \tabularnewline
107 & 11.2 & 10.6366526031454 & 0.563347396854589 \tabularnewline
108 & 10.1 & 10.1551906488713 & -0.055190648871335 \tabularnewline
109 & 9 & 8.83591838605022 & 0.164081613949776 \tabularnewline
110 & 9.3 & 7.72653635526088 & 1.57346364473912 \tabularnewline
111 & 9.8 & 7.78860763317628 & 2.01139236682372 \tabularnewline
112 & 9.7 & 8.66830439104761 & 1.03169560895239 \tabularnewline
113 & 8.9 & 9.23028052289784 & -0.330280522897844 \tabularnewline
114 & 8.6 & 8.94357320055438 & -0.343573200554378 \tabularnewline
115 & 8.3 & 9.55490108957633 & -1.25490108957633 \tabularnewline
116 & 8.1 & 8.70649301044537 & -0.606493010445371 \tabularnewline
117 & 7.4 & 7.14694729802462 & 0.253052701975385 \tabularnewline
118 & 7 & 5.88123173992482 & 1.11876826007518 \tabularnewline
119 & 6.9 & 6.17698670745687 & 0.723013292543135 \tabularnewline
120 & 7 & 6.50598105295384 & 0.49401894704616 \tabularnewline
121 & 5.9 & 6.50912552922007 & -0.609125529220068 \tabularnewline
122 & 5.6 & 5.45115043270998 & 0.148849567290024 \tabularnewline
123 & 4 & 4.65566305779743 & -0.655663057797434 \tabularnewline
124 & 3.2 & 2.9833554555011 & 0.2166445444989 \tabularnewline
125 & 2.8 & 2.5519812840909 & 0.248018715909097 \tabularnewline
126 & 2.8 & 2.75739945175977 & 0.042600548240225 \tabularnewline
127 & 2.7 & 3.68212527019111 & -0.98212527019111 \tabularnewline
128 & 1.9 & 3.19775891645608 & -1.29775891645608 \tabularnewline
129 & 1.8 & 1.00793652208778 & 0.792063477912219 \tabularnewline
130 & 1.5 & 0.343923249849836 & 1.15607675015016 \tabularnewline
131 & 1.1 & 0.691749085670209 & 0.408250914329791 \tabularnewline
132 & 0.4 & 0.705798648085017 & -0.305798648085017 \tabularnewline
133 & 0.3 & -0.250562615046708 & 0.550562615046708 \tabularnewline
134 & -1 & -0.124421872021783 & -0.875578127978217 \tabularnewline
135 & 0.7 & -2.04449140446737 & 2.74449140446737 \tabularnewline
136 & -0.3 & -0.0520236893408548 & -0.247976310659145 \tabularnewline
137 & -1 & -0.544741736509953 & -0.455258263490047 \tabularnewline
138 & -1.3 & -0.755092179488607 & -0.544907820511394 \tabularnewline
139 & -1.4 & -0.29374420634726 & -1.10625579365274 \tabularnewline
140 & -1.4 & -0.78107840299034 & -0.61892159700966 \tabularnewline
141 & -1.5 & -1.94496774398783 & 0.444967743987825 \tabularnewline
142 & -1.1 & -2.71599771760771 & 1.61599771760771 \tabularnewline
143 & -1.2 & -1.72895352640176 & 0.528953526401763 \tabularnewline
144 & -1 & -1.36846351569732 & 0.368463515697318 \tabularnewline
145 & -1.2 & -1.24132929909382 & 0.041329299093825 \tabularnewline
146 & -1.3 & -1.3773345173277 & 0.0773345173276963 \tabularnewline
147 & -1.8 & -1.68526127589978 & -0.114738724100222 \tabularnewline
148 & -1.3 & -2.5633219008803 & 1.2633219008803 \tabularnewline
149 & -2.2 & -1.4198144949581 & -0.780185505041901 \tabularnewline
150 & -2.68 & -1.74464477043211 & -0.935355229567894 \tabularnewline
151 & -1.4 & -1.55655355042429 & 0.156553550424286 \tabularnewline
152 & -1.7 & -0.498806068844684 & -1.20119393115532 \tabularnewline
153 & -0.8 & -1.88629129585825 & 1.08629129585825 \tabularnewline
154 & -0.6 & -1.63109539865033 & 1.03109539865033 \tabularnewline
155 & -0.9 & -1.01388746470607 & 0.113887464706069 \tabularnewline
156 & -1 & -0.867940537365736 & -0.132059462634264 \tabularnewline
157 & -0.2 & -1.12907200357572 & 0.929072003575724 \tabularnewline
158 & 0.7 & -0.191740568470797 & 0.891740568470797 \tabularnewline
159 & -0.2 & 0.62353422696251 & -0.82353422696251 \tabularnewline
160 & -0.3 & -0.551164374290592 & 0.251164374290592 \tabularnewline
161 & 0.1 & -0.396405242995965 & 0.496405242995965 \tabularnewline
162 & 0.5 & 0.760649035057251 & -0.260649035057251 \tabularnewline
163 & 0.5 & 2.07153570703528 & -1.57153570703528 \tabularnewline
164 & 0.3 & 1.56115568808543 & -1.26115568808543 \tabularnewline
165 & 0 & 0.404512066290722 & -0.404512066290722 \tabularnewline
166 & 0 & -0.850880556674228 & 0.850880556674228 \tabularnewline
167 & 1.3 & -0.618010421351273 & 1.91801042135127 \tabularnewline
168 & 0.4 & 1.33179890862214 & -0.931798908622138 \tabularnewline
169 & 1.2 & 0.41723602625333 & 0.78276397374667 \tabularnewline
170 & 0 & 1.20576195729568 & -1.20576195729568 \tabularnewline
171 & 0.8 & -0.405186252043557 & 1.20518625204356 \tabularnewline
172 & 1.6 & 0.359342251631595 & 1.2406577483684 \tabularnewline
173 & 1.7 & 1.59210225788772 & 0.107897742112276 \tabularnewline
174 & 1.4 & 2.41187123926787 & -1.01187123926787 \tabularnewline
175 & 1.5 & 2.88535210035856 & -1.38535210035856 \tabularnewline
176 & 1 & 2.55433027969098 & -1.55433027969098 \tabularnewline
177 & -0.1 & 1.12237113450947 & -1.22237113450947 \tabularnewline
178 & 0.2 & -1.00207933142927 & 1.20207933142927 \tabularnewline
179 & -0.3 & -0.507940342481063 & 0.207940342481063 \tabularnewline
180 & -0.3 & -0.772033632686892 & 0.472033632686892 \tabularnewline
181 & -1 & -0.452003139850663 & -0.547996860149337 \tabularnewline
182 & 0 & -1.45172301161575 & 1.45172301161575 \tabularnewline
183 & -0.8 & -0.395443290789622 & -0.404556709210378 \tabularnewline
184 & -1.3 & -1.36155501490529 & 0.0615550149052879 \tabularnewline
185 & -1.1 & -1.73691526414253 & 0.636915264142525 \tabularnewline
186 & -0.8 & -0.850616622748524 & 0.0506166227485241 \tabularnewline
187 & -0.9 & 0.413111706735613 & -1.31311170673561 \tabularnewline
188 & -0.7 & -0.0209666506871071 & -0.679033349312893 \tabularnewline
189 & -0.7 & -0.630179125452814 & -0.069820874547186 \tabularnewline
190 & -0.8 & -1.33548503890566 & 0.535485038905664 \tabularnewline
191 & -0.7 & -1.46504482013999 & 0.765044820139995 \tabularnewline
192 & -0.4 & -1.03486835039472 & 0.634868350394725 \tabularnewline
193 & 0.4 & -0.451339098138655 & 0.851339098138655 \tabularnewline
194 & 0.2 & 0.406479439271698 & -0.206479439271698 \tabularnewline
195 & 0.9 & -0.0673471489504772 & 0.967347148950477 \tabularnewline
196 & 1 & 0.6422606076058 & 0.3577393923942 \tabularnewline
197 & 0.7 & 1.00005392062575 & -0.300053920625749 \tabularnewline
198 & 0.3 & 1.23702715184622 & -0.937027151846215 \tabularnewline
199 & 0.5 & 1.58626219478125 & -1.08626219478125 \tabularnewline
200 & 0.9 & 1.54532252870981 & -0.645322528709806 \tabularnewline
201 & 1.1 & 1.15364272346646 & -0.0536427234664612 \tabularnewline
202 & 1.8 & 0.651972855965623 & 1.14802714403438 \tabularnewline
203 & 3 & 1.3541696953113 & 1.6458303046887 \tabularnewline
204 & 3.2 & 2.9848037582909 & 0.2151962417091 \tabularnewline
205 & 3.2 & 3.51640545507731 & -0.316405455077315 \tabularnewline
206 & 2.1 & 3.34432339372532 & -1.24432339372532 \tabularnewline
207 & 3 & 1.94905311434127 & 1.05094688565873 \tabularnewline
208 & 3.8 & 2.66567923340806 & 1.13432076659194 \tabularnewline
209 & 4.4 & 3.79870082783022 & 0.601299172169782 \tabularnewline
210 & 5 & 5.07681970255253 & -0.076819702552525 \tabularnewline
211 & 5.3 & 6.60546252216491 & -1.30546252216491 \tabularnewline
212 & 5.3 & 6.74723328053722 & -1.44723328053722 \tabularnewline
213 & 5.2 & 5.87560162578811 & -0.675601625788107 \tabularnewline
214 & 4.3 & 5.00204046045991 & -0.70204046045991 \tabularnewline
215 & 2.8 & 3.83665664818997 & -1.03665664818997 \tabularnewline
216 & 2.4 & 2.24720149564953 & 0.152798504350465 \tabularnewline
217 & 1.9 & 2.0460211530987 & -0.146021153098701 \tabularnewline
218 & 3.9 & 1.3572417139506 & 2.5427582860494 \tabularnewline
219 & 2.7 & 3.65808047607718 & -0.958080476077178 \tabularnewline
220 & 1.8 & 2.19872706624314 & -0.398727066243143 \tabularnewline
221 & 1.8 & 1.30134829634455 & 0.49865170365545 \tabularnewline
222 & 1.6 & 1.85041229921355 & -0.250412299213552 \tabularnewline
223 & 1.8 & 2.51631202089177 & -0.71631202089177 \tabularnewline
224 & 1.3 & 2.67824616724542 & -1.37824616724542 \tabularnewline
225 & 0.9 & 1.42001988902599 & -0.520019889025992 \tabularnewline
226 & 1.2 & 0.209131507663243 & 0.990868492336757 \tabularnewline
227 & 1.3 & 0.391385497146563 & 0.908614502853437 \tabularnewline
228 & 1.6 & 0.813030202384774 & 0.786969797615226 \tabularnewline
229 & 1.9 & 1.40375169997623 & 0.496248300023765 \tabularnewline
230 & 0.9 & 1.83288979826091 & -0.932889798260911 \tabularnewline
231 & 0.8 & 0.413479336880098 & 0.386520663119902 \tabularnewline
232 & 1.2 & 0.221620339062163 & 0.978379660937837 \tabularnewline
233 & 1.4 & 0.872936975559937 & 0.527063024440063 \tabularnewline
234 & 1.5 & 1.6054906013391 & -0.105490601339103 \tabularnewline
235 & 1 & 2.60713551042693 & -1.60713551042693 \tabularnewline
236 & 1.3 & 1.98202806147811 & -0.682028061478115 \tabularnewline
237 & 1.5 & 1.6337793700408 & -0.133779370040802 \tabularnewline
238 & 1.4 & 1.15506141063601 & 0.244938589363985 \tabularnewline
239 & 1.9 & 0.781574491044166 & 1.11842550895583 \tabularnewline
240 & 2.8 & 1.56696643960813 & 1.23303356039187 \tabularnewline
241 & 2.2 & 2.80235008629653 & -0.602350086296525 \tabularnewline
242 & 2.7 & 2.17935239319526 & 0.520647606804737 \tabularnewline
243 & 3.3 & 2.51346739329587 & 0.78653260670413 \tabularnewline
244 & 3 & 3.11073274356044 & -0.110732743560436 \tabularnewline
245 & 3.4 & 2.91430282687095 & 0.485697173129054 \tabularnewline
246 & 4.4 & 3.75256455496144 & 0.647435445038565 \tabularnewline
247 & 5.6 & 5.65989921032425 & -0.0598992103242546 \tabularnewline
248 & 6.5 & 7.10597048972792 & -0.605970489727925 \tabularnewline
249 & 6.2 & 7.44814607157798 & -1.24814607157798 \tabularnewline
250 & 6.5 & 6.3584421610985 & 0.141557838901502 \tabularnewline
251 & 6.9 & 6.33117540124085 & 0.568824598759152 \tabularnewline
252 & 6.5 & 6.90373821563039 & -0.403738215630388 \tabularnewline
253 & 7.1 & 6.5079664718932 & 0.592033528106797 \tabularnewline
254 & 8.7 & 7.29086077037434 & 1.40913922962566 \tabularnewline
255 & 8.3 & 8.83216677973275 & -0.532166779732746 \tabularnewline
256 & 8.5 & 8.2864193279467 & 0.2135806720533 \tabularnewline
257 & 7.7 & 8.63280892784496 & -0.932808927844964 \tabularnewline
258 & 7.1 & 8.13040633446195 & -1.03040633446195 \tabularnewline
259 & 6.3 & 8.11783079233992 & -1.81783079233992 \tabularnewline
260 & 4.9 & 7.29137056400096 & -2.39137056400096 \tabularnewline
261 & 4.6 & 5.03442385502995 & -0.434423855029955 \tabularnewline
262 & 4 & 4.03844842912254 & -0.0384484291225355 \tabularnewline
263 & 2.4 & 3.08374353077145 & -0.683743530771449 \tabularnewline
264 & 1.2 & 1.42658717401789 & -0.226587174017891 \tabularnewline
265 & 1 & 0.298346981914913 & 0.701653018085087 \tabularnewline
266 & -1.6 & 0.291396599997748 & -1.89139659999775 \tabularnewline
267 & -1.2 & -2.86484260915128 & 1.66484260915128 \tabularnewline
268 & -1.5 & -2.44856003123726 & 0.948560031237256 \tabularnewline
269 & -1.4 & -2.51165806341789 & 1.11165806341789 \tabularnewline
270 & -1.7 & -1.79568432986243 & 0.0956843298624339 \tabularnewline
271 & -1.8 & -1.30641083863787 & -0.493589161362129 \tabularnewline
272 & -1.2 & -1.21351387406136 & 0.0135138740613583 \tabularnewline
273 & -0.8 & -0.970936666343992 & 0.170936666343992 \tabularnewline
274 & -0.5 & -1.15016828747076 & 0.650168287470763 \tabularnewline
275 & 0.6 & -1.1714278181147 & 1.7714278181147 \tabularnewline
276 & 1.9 & 0.228763797719974 & 1.67123620228003 \tabularnewline
277 & 1.5 & 1.98648836118765 & -0.486488361187646 \tabularnewline
278 & 2.7 & 1.5527453063301 & 1.1472546936699 \tabularnewline
279 & 2.4 & 2.83411763707238 & -0.434117637072384 \tabularnewline
280 & 2.8 & 2.26606197013766 & 0.533938029862341 \tabularnewline
281 & 3.1 & 2.77733945343579 & 0.322660546564209 \tabularnewline
282 & 2.9 & 3.5060095713751 & -0.606009571375104 \tabularnewline
283 & 3.3 & 4.00379974854531 & -0.703799748545307 \tabularnewline
284 & 3.5 & 4.60510781811001 & -1.10510781811001 \tabularnewline
285 & 3.6 & 4.30310272806617 & -0.703102728066167 \tabularnewline
286 & 4.4 & 3.68532460920494 & 0.714675390795056 \tabularnewline
287 & 5.1 & 4.15359080927419 & 0.946409190725808 \tabularnewline
288 & 4.6 & 4.99419263594929 & -0.394192635949286 \tabularnewline
289 & 4.9 & 4.55337101022566 & 0.346628989774343 \tabularnewline
290 & 4.9 & 5.02048215478285 & -0.120482154782849 \tabularnewline
291 & 5.4 & 4.81362005089153 & 0.586379949108469 \tabularnewline
292 & 5.3 & 5.23233500028834 & 0.0676649997116554 \tabularnewline
293 & 5.5 & 5.18865219735029 & 0.311347802649712 \tabularnewline
294 & 6.4 & 5.73201399073588 & 0.667986009264116 \tabularnewline
295 & 6.5 & 7.50741623666477 & -1.00741623666477 \tabularnewline
296 & 6.2 & 7.84937333141775 & -1.64937333141775 \tabularnewline
297 & 6.1 & 7.03197790187013 & -0.931977901870134 \tabularnewline
298 & 5.5 & 6.22633153737035 & -0.726331537370348 \tabularnewline
299 & 4.2 & 5.05897410361317 & -0.858974103613171 \tabularnewline
300 & 4.1 & 3.51606732712755 & 0.583932672872447 \tabularnewline
301 & 4.5 & 3.58647049608178 & 0.913529503918218 \tabularnewline
302 & 3.2 & 4.19030095409893 & -0.990300954098927 \tabularnewline
303 & 3.6 & 2.72591113078288 & 0.874088869217117 \tabularnewline
304 & 3.4 & 2.9224199797027 & 0.477580020297298 \tabularnewline
305 & 3 & 2.89185847851415 & 0.10814152148585 \tabularnewline
306 & 2.2 & 2.85341111422809 & -0.653411114228089 \tabularnewline
307 & 1.8 & 2.64600021126717 & -0.846000211267172 \tabularnewline
308 & 2 & 2.48257451119208 & -0.482574511192075 \tabularnewline
309 & 1.9 & 2.38266387736604 & -0.482663877366036 \tabularnewline
310 & 1.7 & 1.66570879186172 & 0.0342912081382842 \tabularnewline
311 & 2 & 0.977467228273897 & 1.0225327717261 \tabularnewline
312 & 2.5 & 1.37699752794511 & 1.12300247205489 \tabularnewline
313 & 2 & 2.15254880126207 & -0.152548801262072 \tabularnewline
314 & 3.2 & 1.63596899556111 & 1.56403100443889 \tabularnewline
315 & 2.1 & 3.10305811591053 & -1.00305811591053 \tabularnewline
316 & 2.4 & 1.64470416231707 & 0.755295837682926 \tabularnewline
317 & 2.1 & 2.00846191449789 & 0.0915380855021142 \tabularnewline
318 & 2.7 & 2.06031757866347 & 0.639682421336527 \tabularnewline
319 & 2.7 & 3.41328793246281 & -0.713287932462814 \tabularnewline
320 & 2.6 & 3.79390049128907 & -1.19390049128907 \tabularnewline
321 & 3.1 & 3.31096405353292 & -0.210964053532924 \tabularnewline
322 & 3.2 & 3.20561865458406 & -0.00561865458405997 \tabularnewline
323 & 3 & 2.86652367646354 & 0.133476323536462 \tabularnewline
324 & 2.5 & 2.61678671684923 & -0.116786716849234 \tabularnewline
325 & 2.5 & 2.11504216081509 & 0.384957839184913 \tabularnewline
326 & 2 & 2.27351209121993 & -0.273512091219933 \tabularnewline
327 & 2.4 & 1.60192210354676 & 0.79807789645324 \tabularnewline
328 & 1.8 & 1.98927994255226 & -0.189279942552261 \tabularnewline
329 & 2.5 & 1.32040268270286 & 1.17959731729714 \tabularnewline
330 & 2.3 & 2.49315551117126 & -0.193155511171263 \tabularnewline
331 & 2.3 & 2.91028077351033 & -0.61028077351033 \tabularnewline
332 & 2 & 3.30335028827789 & -1.30335028827789 \tabularnewline
333 & 1.6 & 2.72166855291108 & -1.12166855291108 \tabularnewline
334 & 1.6 & 1.56792176636802 & 0.0320782336319789 \tabularnewline
335 & 1.4 & 1.06281994772115 & 0.337180052278854 \tabularnewline
336 & 1.5 & 0.807124795849338 & 0.692875204150662 \tabularnewline
337 & 0.8 & 1.04920921519291 & -0.249209215192913 \tabularnewline
338 & 1.4 & 0.423353996539277 & 0.976646003460723 \tabularnewline
339 & 1.4 & 1.04681217783848 & 0.353187822161516 \tabularnewline
340 & 1.5 & 0.934950259529335 & 0.565049740470665 \tabularnewline
341 & 1.2 & 1.1727401319378 & 0.027259868062204 \tabularnewline
342 & 1.4 & 1.09615601468549 & 0.303843985314506 \tabularnewline
343 & 1.6 & 1.94581185973236 & -0.345811859732355 \tabularnewline
344 & 2 & 2.5793762784916 & -0.579376278491596 \tabularnewline
345 & 1.6 & 2.84656248132394 & -1.24656248132394 \tabularnewline
346 & 1.3 & 1.80184057510783 & -0.501840575107834 \tabularnewline
347 & 1.5 & 0.877457394660602 & 0.622542605339398 \tabularnewline
348 & 1.6 & 1.01407797246634 & 0.585922027533659 \tabularnewline
349 & 1.8 & 1.17408858534853 & 0.625911414651471 \tabularnewline
350 & 2.3 & 1.67686053347645 & 0.623139466523548 \tabularnewline
351 & 2.3 & 2.09788195637309 & 0.202118043626909 \tabularnewline
352 & 2.3 & 2.00616989016932 & 0.29383010983068 \tabularnewline
353 & 2 & 2.05445655836712 & -0.0544565583671215 \tabularnewline
354 & 1.9 & 2.00888154058055 & -0.108881540580555 \tabularnewline
355 & 1.8 & 2.44815305882133 & -0.648153058821331 \tabularnewline
356 & 1.3 & 2.75365028055713 & -1.45365028055713 \tabularnewline
357 & 1.9 & 1.98659910127703 & -0.0865991012770317 \tabularnewline
358 & 2.1 & 2.08874596321386 & 0.011254036786136 \tabularnewline
359 & 2.3 & 1.82198647064257 & 0.478013529357425 \tabularnewline
360 & 2.1 & 1.89895957956164 & 0.201040420438358 \tabularnewline
361 & 2.5 & 1.71810131235389 & 0.781898687646106 \tabularnewline
362 & 0.8 & 2.40503948457726 & -1.60503948457726 \tabularnewline
363 & 0.9 & 0.398780196043157 & 0.501219803956843 \tabularnewline
364 & 1.2 & 0.312972221634661 & 0.887027778365339 \tabularnewline
365 & 1.5 & 0.706768617237219 & 0.793231382762781 \tabularnewline
366 & 1.5 & 1.40369636419628 & 0.0963036358037166 \tabularnewline
367 & 1.4 & 1.98800417288625 & -0.588004172886253 \tabularnewline
368 & 1.8 & 2.29478819863209 & -0.494788198632087 \tabularnewline
369 & 1.6 & 2.67642627409759 & -1.07642627409759 \tabularnewline
370 & 1.9 & 1.8638116967111 & 0.0361883032889037 \tabularnewline
371 & 1.7 & 1.6551917172929 & 0.0448082827070977 \tabularnewline
372 & 1.8 & 1.24044433546608 & 0.559555664533919 \tabularnewline
373 & 1.5 & 1.42337554420031 & 0.0766244557996876 \tabularnewline
374 & 2.9 & 1.15856276685401 & 1.74143723314599 \tabularnewline
375 & 2.1 & 2.83522926949144 & -0.735229269491442 \tabularnewline
376 & 1.8 & 1.84939322206204 & -0.0493932220620359 \tabularnewline
377 & 1.8 & 1.43337430956648 & 0.366625690433521 \tabularnewline
378 & 1.9 & 1.68078106150233 & 0.219218938497666 \tabularnewline
379 & 2.1 & 2.34713079354966 & -0.247130793549655 \tabularnewline
380 & 2.3 & 3.04991926686779 & -0.749919266867793 \tabularnewline
381 & 2.5 & 3.18389906109695 & -0.683899061096946 \tabularnewline
382 & 2.5 & 2.91046656323908 & -0.410466563239082 \tabularnewline
383 & 2.2 & 2.30938866035028 & -0.109388660350278 \tabularnewline
384 & 1.9 & 1.78443759765318 & 0.115562402346818 \tabularnewline
385 & 1.7 & 1.44381337056729 & 0.256186629432713 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318754&T=2

[TABLE]
[ROW][C]Interpolation Forecasts of Exponential Smoothing[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Fitted[/C][C]Residuals[/C][/ROW]
[ROW][C]13[/C][C]9.31[/C][C]5.93045940170941[/C][C]3.37954059829059[/C][/ROW]
[ROW][C]14[/C][C]10.4[/C][C]10.543208114985[/C][C]-0.143208114985006[/C][/ROW]
[ROW][C]15[/C][C]11.3[/C][C]11.3665940535765[/C][C]-0.0665940535764964[/C][/ROW]
[ROW][C]16[/C][C]12.2[/C][C]12.0755827845954[/C][C]0.124417215404634[/C][/ROW]
[ROW][C]17[/C][C]14.19[/C][C]14.0804081130953[/C][C]0.109591886904655[/C][/ROW]
[ROW][C]18[/C][C]16.31[/C][C]16.2441075946648[/C][C]0.0658924053351555[/C][/ROW]
[ROW][C]19[/C][C]19.21[/C][C]19.8372438199022[/C][C]-0.627243819902219[/C][/ROW]
[ROW][C]20[/C][C]23.6[/C][C]20.6832079512475[/C][C]2.91679204875251[/C][/ROW]
[ROW][C]21[/C][C]26.4[/C][C]24.3478983197845[/C][C]2.05210168021553[/C][/ROW]
[ROW][C]22[/C][C]27.09[/C][C]27.8268005338568[/C][C]-0.736800533856769[/C][/ROW]
[ROW][C]23[/C][C]26.81[/C][C]29.5484621264018[/C][C]-2.73846212640177[/C][/ROW]
[ROW][C]24[/C][C]27.9[/C][C]28.6342133867029[/C][C]-0.734213386702859[/C][/ROW]
[ROW][C]25[/C][C]27.39[/C][C]29.3102688571063[/C][C]-1.92026885710631[/C][/ROW]
[ROW][C]26[/C][C]28.4[/C][C]28.4698604244248[/C][C]-0.069860424424796[/C][/ROW]
[ROW][C]27[/C][C]27.1[/C][C]29.0990817344459[/C][C]-1.99908173444589[/C][/ROW]
[ROW][C]28[/C][C]26.6[/C][C]27.4405038481516[/C][C]-0.840503848151577[/C][/ROW]
[ROW][C]29[/C][C]24.91[/C][C]27.8027897876453[/C][C]-2.89278978764527[/C][/ROW]
[ROW][C]30[/C][C]22.79[/C][C]25.9346556836229[/C][C]-3.14465568362294[/C][/ROW]
[ROW][C]31[/C][C]19.4[/C][C]24.7272799319316[/C][C]-5.32727993193165[/C][/ROW]
[ROW][C]32[/C][C]15.3[/C][C]18.9162735049154[/C][C]-3.61627350491544[/C][/ROW]
[ROW][C]33[/C][C]11.49[/C][C]12.8309742628468[/C][C]-1.34097426284677[/C][/ROW]
[ROW][C]34[/C][C]8.61[/C][C]8.78023958625643[/C][C]-0.170239586256431[/C][/ROW]
[ROW][C]35[/C][C]7.4[/C][C]6.79947137957332[/C][C]0.600528620426682[/C][/ROW]
[ROW][C]36[/C][C]6.6[/C][C]5.59328893082244[/C][C]1.00671106917756[/C][/ROW]
[ROW][C]37[/C][C]4.3[/C][C]4.55292187223308[/C][C]-0.25292187223308[/C][/ROW]
[ROW][C]38[/C][C]4.4[/C][C]2.41865694554992[/C][C]1.98134305445008[/C][/ROW]
[ROW][C]39[/C][C]3.4[/C][C]2.1795778213414[/C][C]1.2204221786586[/C][/ROW]
[ROW][C]40[/C][C]3.2[/C][C]1.48820295704685[/C][C]1.71179704295315[/C][/ROW]
[ROW][C]41[/C][C]2.7[/C][C]2.39006367363186[/C][C]0.309936326368141[/C][/ROW]
[ROW][C]42[/C][C]1.11[/C][C]2.32159699238916[/C][C]-1.21159699238916[/C][/ROW]
[ROW][C]43[/C][C]1.1[/C][C]1.91573854097443[/C][C]-0.815738540974426[/C][/ROW]
[ROW][C]44[/C][C]2.5[/C][C]0.321849590493457[/C][C]2.17815040950654[/C][/ROW]
[ROW][C]45[/C][C]2.91[/C][C]0.640334786411023[/C][C]2.26966521358898[/C][/ROW]
[ROW][C]46[/C][C]3.1[/C][C]1.48145485127289[/C][C]1.61854514872711[/C][/ROW]
[ROW][C]47[/C][C]3.7[/C][C]2.96668649221621[/C][C]0.733313507783793[/C][/ROW]
[ROW][C]48[/C][C]4.3[/C][C]3.68430554431238[/C][C]0.615694455687617[/C][/ROW]
[ROW][C]49[/C][C]2.2[/C][C]3.89821372937339[/C][C]-1.69821372937339[/C][/ROW]
[ROW][C]50[/C][C]1.8[/C][C]2.04948518621434[/C][C]-0.249485186214338[/C][/ROW]
[ROW][C]51[/C][C]1.6[/C][C]0.785486603887987[/C][C]0.814513396112013[/C][/ROW]
[ROW][C]52[/C][C]1.3[/C][C]0.786459921128816[/C][C]0.513540078871184[/C][/ROW]
[ROW][C]53[/C][C]3.6[/C][C]1.31248850795495[/C][C]2.28751149204505[/C][/ROW]
[ROW][C]54[/C][C]4.4[/C][C]4.13536719448735[/C][C]0.264632805512652[/C][/ROW]
[ROW][C]55[/C][C]4.7[/C][C]6.53495119622936[/C][C]-1.83495119622936[/C][/ROW]
[ROW][C]56[/C][C]4.9[/C][C]5.44562975022727[/C][C]-0.545629750227267[/C][/ROW]
[ROW][C]57[/C][C]4.5[/C][C]4.02997557135304[/C][C]0.470024428646957[/C][/ROW]
[ROW][C]58[/C][C]4.8[/C][C]3.64587656900075[/C][C]1.15412343099925[/C][/ROW]
[ROW][C]59[/C][C]4.4[/C][C]5.05287125864518[/C][C]-0.652871258645177[/C][/ROW]
[ROW][C]60[/C][C]4.5[/C][C]4.66228847874635[/C][C]-0.16228847874635[/C][/ROW]
[ROW][C]61[/C][C]5.5[/C][C]4.04836990413645[/C][C]1.45163009586355[/C][/ROW]
[ROW][C]62[/C][C]5.3[/C][C]5.80698345060329[/C][C]-0.506983450603295[/C][/ROW]
[ROW][C]63[/C][C]5.3[/C][C]4.91568762556769[/C][C]0.38431237443231[/C][/ROW]
[ROW][C]64[/C][C]7.1[/C][C]4.96090153543987[/C][C]2.13909846456013[/C][/ROW]
[ROW][C]65[/C][C]4.7[/C][C]7.85619051299111[/C][C]-3.15619051299111[/C][/ROW]
[ROW][C]66[/C][C]4.8[/C][C]5.31485632410792[/C][C]-0.514856324107923[/C][/ROW]
[ROW][C]67[/C][C]5.2[/C][C]6.54853725159877[/C][C]-1.34853725159877[/C][/ROW]
[ROW][C]68[/C][C]5.8[/C][C]5.79048552388295[/C][C]0.00951447611704825[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]4.84194942287199[/C][C]2.65805057712801[/C][/ROW]
[ROW][C]70[/C][C]7.9[/C][C]6.77861919664218[/C][C]1.12138080335782[/C][/ROW]
[ROW][C]71[/C][C]8.2[/C][C]8.26097706596958[/C][C]-0.060977065969583[/C][/ROW]
[ROW][C]72[/C][C]8.8[/C][C]8.78701351919799[/C][C]0.012986480802013[/C][/ROW]
[ROW][C]73[/C][C]10.3[/C][C]8.81158915450288[/C][C]1.48841084549712[/C][/ROW]
[ROW][C]74[/C][C]10.8[/C][C]10.8318414710479[/C][C]-0.0318414710479491[/C][/ROW]
[ROW][C]75[/C][C]12.2[/C][C]10.8904953995351[/C][C]1.30950460046494[/C][/ROW]
[ROW][C]76[/C][C]12.6[/C][C]12.5176098049285[/C][C]0.0823901950714827[/C][/ROW]
[ROW][C]77[/C][C]14[/C][C]13.3843913031924[/C][C]0.615608696807588[/C][/ROW]
[ROW][C]78[/C][C]15.1[/C][C]15.4147044514399[/C][C]-0.3147044514399[/C][/ROW]
[ROW][C]79[/C][C]16.2[/C][C]17.6882486975535[/C][C]-1.48824869755353[/C][/ROW]
[ROW][C]80[/C][C]16.4[/C][C]17.7873623935722[/C][C]-1.38736239357218[/C][/ROW]
[ROW][C]81[/C][C]15.7[/C][C]16.389951324582[/C][C]-0.689951324581973[/C][/ROW]
[ROW][C]82[/C][C]15.9[/C][C]15.2158505365481[/C][C]0.684149463451936[/C][/ROW]
[ROW][C]83[/C][C]16.7[/C][C]16.2441921699239[/C][C]0.455807830076079[/C][/ROW]
[ROW][C]84[/C][C]18.8[/C][C]17.3769126933777[/C][C]1.42308730662231[/C][/ROW]
[ROW][C]85[/C][C]21.1[/C][C]19.1700433642018[/C][C]1.9299566357982[/C][/ROW]
[ROW][C]86[/C][C]23.2[/C][C]21.9187797929076[/C][C]1.28122020709239[/C][/ROW]
[ROW][C]87[/C][C]22.4[/C][C]23.9354756527896[/C][C]-1.53547565278964[/C][/ROW]
[ROW][C]88[/C][C]21.7[/C][C]23.0068731953569[/C][C]-1.30687319535692[/C][/ROW]
[ROW][C]89[/C][C]21.3[/C][C]22.5663831731781[/C][C]-1.26638317317807[/C][/ROW]
[ROW][C]90[/C][C]22.6[/C][C]22.4174424296865[/C][C]0.182557570313456[/C][/ROW]
[ROW][C]91[/C][C]24[/C][C]24.7862770472689[/C][C]-0.786277047268914[/C][/ROW]
[ROW][C]92[/C][C]25.8[/C][C]25.3772158704471[/C][C]0.42278412955287[/C][/ROW]
[ROW][C]93[/C][C]27.3[/C][C]25.8417026358305[/C][C]1.45829736416947[/C][/ROW]
[ROW][C]94[/C][C]27.7[/C][C]27.2457364380917[/C][C]0.454263561908324[/C][/ROW]
[ROW][C]95[/C][C]27.5[/C][C]28.4914035204803[/C][C]-0.991403520480318[/C][/ROW]
[ROW][C]96[/C][C]25.5[/C][C]28.5573661625033[/C][C]-3.05736616250326[/C][/ROW]
[ROW][C]97[/C][C]24.1[/C][C]25.6952354619864[/C][C]-1.59523546198643[/C][/ROW]
[ROW][C]98[/C][C]22.4[/C][C]24.012769996179[/C][C]-1.61276999617899[/C][/ROW]
[ROW][C]99[/C][C]21.3[/C][C]21.5532967663838[/C][C]-0.253296766383752[/C][/ROW]
[ROW][C]100[/C][C]20.7[/C][C]20.4555082065366[/C][C]0.244491793463386[/C][/ROW]
[ROW][C]101[/C][C]20.3[/C][C]20.33813692611[/C][C]-0.0381369261099778[/C][/ROW]
[ROW][C]102[/C][C]18.9[/C][C]20.5148603332559[/C][C]-1.61486033325593[/C][/ROW]
[ROW][C]103[/C][C]16.7[/C][C]19.9307447465519[/C][C]-3.23074474655193[/C][/ROW]
[ROW][C]104[/C][C]14.5[/C][C]16.7199007535203[/C][C]-2.21990075352031[/C][/ROW]
[ROW][C]105[/C][C]13.2[/C][C]12.7506243278222[/C][C]0.449375672177823[/C][/ROW]
[ROW][C]106[/C][C]12.1[/C][C]10.9269327571936[/C][C]1.17306724280638[/C][/ROW]
[ROW][C]107[/C][C]11.2[/C][C]10.6366526031454[/C][C]0.563347396854589[/C][/ROW]
[ROW][C]108[/C][C]10.1[/C][C]10.1551906488713[/C][C]-0.055190648871335[/C][/ROW]
[ROW][C]109[/C][C]9[/C][C]8.83591838605022[/C][C]0.164081613949776[/C][/ROW]
[ROW][C]110[/C][C]9.3[/C][C]7.72653635526088[/C][C]1.57346364473912[/C][/ROW]
[ROW][C]111[/C][C]9.8[/C][C]7.78860763317628[/C][C]2.01139236682372[/C][/ROW]
[ROW][C]112[/C][C]9.7[/C][C]8.66830439104761[/C][C]1.03169560895239[/C][/ROW]
[ROW][C]113[/C][C]8.9[/C][C]9.23028052289784[/C][C]-0.330280522897844[/C][/ROW]
[ROW][C]114[/C][C]8.6[/C][C]8.94357320055438[/C][C]-0.343573200554378[/C][/ROW]
[ROW][C]115[/C][C]8.3[/C][C]9.55490108957633[/C][C]-1.25490108957633[/C][/ROW]
[ROW][C]116[/C][C]8.1[/C][C]8.70649301044537[/C][C]-0.606493010445371[/C][/ROW]
[ROW][C]117[/C][C]7.4[/C][C]7.14694729802462[/C][C]0.253052701975385[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]5.88123173992482[/C][C]1.11876826007518[/C][/ROW]
[ROW][C]119[/C][C]6.9[/C][C]6.17698670745687[/C][C]0.723013292543135[/C][/ROW]
[ROW][C]120[/C][C]7[/C][C]6.50598105295384[/C][C]0.49401894704616[/C][/ROW]
[ROW][C]121[/C][C]5.9[/C][C]6.50912552922007[/C][C]-0.609125529220068[/C][/ROW]
[ROW][C]122[/C][C]5.6[/C][C]5.45115043270998[/C][C]0.148849567290024[/C][/ROW]
[ROW][C]123[/C][C]4[/C][C]4.65566305779743[/C][C]-0.655663057797434[/C][/ROW]
[ROW][C]124[/C][C]3.2[/C][C]2.9833554555011[/C][C]0.2166445444989[/C][/ROW]
[ROW][C]125[/C][C]2.8[/C][C]2.5519812840909[/C][C]0.248018715909097[/C][/ROW]
[ROW][C]126[/C][C]2.8[/C][C]2.75739945175977[/C][C]0.042600548240225[/C][/ROW]
[ROW][C]127[/C][C]2.7[/C][C]3.68212527019111[/C][C]-0.98212527019111[/C][/ROW]
[ROW][C]128[/C][C]1.9[/C][C]3.19775891645608[/C][C]-1.29775891645608[/C][/ROW]
[ROW][C]129[/C][C]1.8[/C][C]1.00793652208778[/C][C]0.792063477912219[/C][/ROW]
[ROW][C]130[/C][C]1.5[/C][C]0.343923249849836[/C][C]1.15607675015016[/C][/ROW]
[ROW][C]131[/C][C]1.1[/C][C]0.691749085670209[/C][C]0.408250914329791[/C][/ROW]
[ROW][C]132[/C][C]0.4[/C][C]0.705798648085017[/C][C]-0.305798648085017[/C][/ROW]
[ROW][C]133[/C][C]0.3[/C][C]-0.250562615046708[/C][C]0.550562615046708[/C][/ROW]
[ROW][C]134[/C][C]-1[/C][C]-0.124421872021783[/C][C]-0.875578127978217[/C][/ROW]
[ROW][C]135[/C][C]0.7[/C][C]-2.04449140446737[/C][C]2.74449140446737[/C][/ROW]
[ROW][C]136[/C][C]-0.3[/C][C]-0.0520236893408548[/C][C]-0.247976310659145[/C][/ROW]
[ROW][C]137[/C][C]-1[/C][C]-0.544741736509953[/C][C]-0.455258263490047[/C][/ROW]
[ROW][C]138[/C][C]-1.3[/C][C]-0.755092179488607[/C][C]-0.544907820511394[/C][/ROW]
[ROW][C]139[/C][C]-1.4[/C][C]-0.29374420634726[/C][C]-1.10625579365274[/C][/ROW]
[ROW][C]140[/C][C]-1.4[/C][C]-0.78107840299034[/C][C]-0.61892159700966[/C][/ROW]
[ROW][C]141[/C][C]-1.5[/C][C]-1.94496774398783[/C][C]0.444967743987825[/C][/ROW]
[ROW][C]142[/C][C]-1.1[/C][C]-2.71599771760771[/C][C]1.61599771760771[/C][/ROW]
[ROW][C]143[/C][C]-1.2[/C][C]-1.72895352640176[/C][C]0.528953526401763[/C][/ROW]
[ROW][C]144[/C][C]-1[/C][C]-1.36846351569732[/C][C]0.368463515697318[/C][/ROW]
[ROW][C]145[/C][C]-1.2[/C][C]-1.24132929909382[/C][C]0.041329299093825[/C][/ROW]
[ROW][C]146[/C][C]-1.3[/C][C]-1.3773345173277[/C][C]0.0773345173276963[/C][/ROW]
[ROW][C]147[/C][C]-1.8[/C][C]-1.68526127589978[/C][C]-0.114738724100222[/C][/ROW]
[ROW][C]148[/C][C]-1.3[/C][C]-2.5633219008803[/C][C]1.2633219008803[/C][/ROW]
[ROW][C]149[/C][C]-2.2[/C][C]-1.4198144949581[/C][C]-0.780185505041901[/C][/ROW]
[ROW][C]150[/C][C]-2.68[/C][C]-1.74464477043211[/C][C]-0.935355229567894[/C][/ROW]
[ROW][C]151[/C][C]-1.4[/C][C]-1.55655355042429[/C][C]0.156553550424286[/C][/ROW]
[ROW][C]152[/C][C]-1.7[/C][C]-0.498806068844684[/C][C]-1.20119393115532[/C][/ROW]
[ROW][C]153[/C][C]-0.8[/C][C]-1.88629129585825[/C][C]1.08629129585825[/C][/ROW]
[ROW][C]154[/C][C]-0.6[/C][C]-1.63109539865033[/C][C]1.03109539865033[/C][/ROW]
[ROW][C]155[/C][C]-0.9[/C][C]-1.01388746470607[/C][C]0.113887464706069[/C][/ROW]
[ROW][C]156[/C][C]-1[/C][C]-0.867940537365736[/C][C]-0.132059462634264[/C][/ROW]
[ROW][C]157[/C][C]-0.2[/C][C]-1.12907200357572[/C][C]0.929072003575724[/C][/ROW]
[ROW][C]158[/C][C]0.7[/C][C]-0.191740568470797[/C][C]0.891740568470797[/C][/ROW]
[ROW][C]159[/C][C]-0.2[/C][C]0.62353422696251[/C][C]-0.82353422696251[/C][/ROW]
[ROW][C]160[/C][C]-0.3[/C][C]-0.551164374290592[/C][C]0.251164374290592[/C][/ROW]
[ROW][C]161[/C][C]0.1[/C][C]-0.396405242995965[/C][C]0.496405242995965[/C][/ROW]
[ROW][C]162[/C][C]0.5[/C][C]0.760649035057251[/C][C]-0.260649035057251[/C][/ROW]
[ROW][C]163[/C][C]0.5[/C][C]2.07153570703528[/C][C]-1.57153570703528[/C][/ROW]
[ROW][C]164[/C][C]0.3[/C][C]1.56115568808543[/C][C]-1.26115568808543[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.404512066290722[/C][C]-0.404512066290722[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]-0.850880556674228[/C][C]0.850880556674228[/C][/ROW]
[ROW][C]167[/C][C]1.3[/C][C]-0.618010421351273[/C][C]1.91801042135127[/C][/ROW]
[ROW][C]168[/C][C]0.4[/C][C]1.33179890862214[/C][C]-0.931798908622138[/C][/ROW]
[ROW][C]169[/C][C]1.2[/C][C]0.41723602625333[/C][C]0.78276397374667[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]1.20576195729568[/C][C]-1.20576195729568[/C][/ROW]
[ROW][C]171[/C][C]0.8[/C][C]-0.405186252043557[/C][C]1.20518625204356[/C][/ROW]
[ROW][C]172[/C][C]1.6[/C][C]0.359342251631595[/C][C]1.2406577483684[/C][/ROW]
[ROW][C]173[/C][C]1.7[/C][C]1.59210225788772[/C][C]0.107897742112276[/C][/ROW]
[ROW][C]174[/C][C]1.4[/C][C]2.41187123926787[/C][C]-1.01187123926787[/C][/ROW]
[ROW][C]175[/C][C]1.5[/C][C]2.88535210035856[/C][C]-1.38535210035856[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]2.55433027969098[/C][C]-1.55433027969098[/C][/ROW]
[ROW][C]177[/C][C]-0.1[/C][C]1.12237113450947[/C][C]-1.22237113450947[/C][/ROW]
[ROW][C]178[/C][C]0.2[/C][C]-1.00207933142927[/C][C]1.20207933142927[/C][/ROW]
[ROW][C]179[/C][C]-0.3[/C][C]-0.507940342481063[/C][C]0.207940342481063[/C][/ROW]
[ROW][C]180[/C][C]-0.3[/C][C]-0.772033632686892[/C][C]0.472033632686892[/C][/ROW]
[ROW][C]181[/C][C]-1[/C][C]-0.452003139850663[/C][C]-0.547996860149337[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]-1.45172301161575[/C][C]1.45172301161575[/C][/ROW]
[ROW][C]183[/C][C]-0.8[/C][C]-0.395443290789622[/C][C]-0.404556709210378[/C][/ROW]
[ROW][C]184[/C][C]-1.3[/C][C]-1.36155501490529[/C][C]0.0615550149052879[/C][/ROW]
[ROW][C]185[/C][C]-1.1[/C][C]-1.73691526414253[/C][C]0.636915264142525[/C][/ROW]
[ROW][C]186[/C][C]-0.8[/C][C]-0.850616622748524[/C][C]0.0506166227485241[/C][/ROW]
[ROW][C]187[/C][C]-0.9[/C][C]0.413111706735613[/C][C]-1.31311170673561[/C][/ROW]
[ROW][C]188[/C][C]-0.7[/C][C]-0.0209666506871071[/C][C]-0.679033349312893[/C][/ROW]
[ROW][C]189[/C][C]-0.7[/C][C]-0.630179125452814[/C][C]-0.069820874547186[/C][/ROW]
[ROW][C]190[/C][C]-0.8[/C][C]-1.33548503890566[/C][C]0.535485038905664[/C][/ROW]
[ROW][C]191[/C][C]-0.7[/C][C]-1.46504482013999[/C][C]0.765044820139995[/C][/ROW]
[ROW][C]192[/C][C]-0.4[/C][C]-1.03486835039472[/C][C]0.634868350394725[/C][/ROW]
[ROW][C]193[/C][C]0.4[/C][C]-0.451339098138655[/C][C]0.851339098138655[/C][/ROW]
[ROW][C]194[/C][C]0.2[/C][C]0.406479439271698[/C][C]-0.206479439271698[/C][/ROW]
[ROW][C]195[/C][C]0.9[/C][C]-0.0673471489504772[/C][C]0.967347148950477[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0.6422606076058[/C][C]0.3577393923942[/C][/ROW]
[ROW][C]197[/C][C]0.7[/C][C]1.00005392062575[/C][C]-0.300053920625749[/C][/ROW]
[ROW][C]198[/C][C]0.3[/C][C]1.23702715184622[/C][C]-0.937027151846215[/C][/ROW]
[ROW][C]199[/C][C]0.5[/C][C]1.58626219478125[/C][C]-1.08626219478125[/C][/ROW]
[ROW][C]200[/C][C]0.9[/C][C]1.54532252870981[/C][C]-0.645322528709806[/C][/ROW]
[ROW][C]201[/C][C]1.1[/C][C]1.15364272346646[/C][C]-0.0536427234664612[/C][/ROW]
[ROW][C]202[/C][C]1.8[/C][C]0.651972855965623[/C][C]1.14802714403438[/C][/ROW]
[ROW][C]203[/C][C]3[/C][C]1.3541696953113[/C][C]1.6458303046887[/C][/ROW]
[ROW][C]204[/C][C]3.2[/C][C]2.9848037582909[/C][C]0.2151962417091[/C][/ROW]
[ROW][C]205[/C][C]3.2[/C][C]3.51640545507731[/C][C]-0.316405455077315[/C][/ROW]
[ROW][C]206[/C][C]2.1[/C][C]3.34432339372532[/C][C]-1.24432339372532[/C][/ROW]
[ROW][C]207[/C][C]3[/C][C]1.94905311434127[/C][C]1.05094688565873[/C][/ROW]
[ROW][C]208[/C][C]3.8[/C][C]2.66567923340806[/C][C]1.13432076659194[/C][/ROW]
[ROW][C]209[/C][C]4.4[/C][C]3.79870082783022[/C][C]0.601299172169782[/C][/ROW]
[ROW][C]210[/C][C]5[/C][C]5.07681970255253[/C][C]-0.076819702552525[/C][/ROW]
[ROW][C]211[/C][C]5.3[/C][C]6.60546252216491[/C][C]-1.30546252216491[/C][/ROW]
[ROW][C]212[/C][C]5.3[/C][C]6.74723328053722[/C][C]-1.44723328053722[/C][/ROW]
[ROW][C]213[/C][C]5.2[/C][C]5.87560162578811[/C][C]-0.675601625788107[/C][/ROW]
[ROW][C]214[/C][C]4.3[/C][C]5.00204046045991[/C][C]-0.70204046045991[/C][/ROW]
[ROW][C]215[/C][C]2.8[/C][C]3.83665664818997[/C][C]-1.03665664818997[/C][/ROW]
[ROW][C]216[/C][C]2.4[/C][C]2.24720149564953[/C][C]0.152798504350465[/C][/ROW]
[ROW][C]217[/C][C]1.9[/C][C]2.0460211530987[/C][C]-0.146021153098701[/C][/ROW]
[ROW][C]218[/C][C]3.9[/C][C]1.3572417139506[/C][C]2.5427582860494[/C][/ROW]
[ROW][C]219[/C][C]2.7[/C][C]3.65808047607718[/C][C]-0.958080476077178[/C][/ROW]
[ROW][C]220[/C][C]1.8[/C][C]2.19872706624314[/C][C]-0.398727066243143[/C][/ROW]
[ROW][C]221[/C][C]1.8[/C][C]1.30134829634455[/C][C]0.49865170365545[/C][/ROW]
[ROW][C]222[/C][C]1.6[/C][C]1.85041229921355[/C][C]-0.250412299213552[/C][/ROW]
[ROW][C]223[/C][C]1.8[/C][C]2.51631202089177[/C][C]-0.71631202089177[/C][/ROW]
[ROW][C]224[/C][C]1.3[/C][C]2.67824616724542[/C][C]-1.37824616724542[/C][/ROW]
[ROW][C]225[/C][C]0.9[/C][C]1.42001988902599[/C][C]-0.520019889025992[/C][/ROW]
[ROW][C]226[/C][C]1.2[/C][C]0.209131507663243[/C][C]0.990868492336757[/C][/ROW]
[ROW][C]227[/C][C]1.3[/C][C]0.391385497146563[/C][C]0.908614502853437[/C][/ROW]
[ROW][C]228[/C][C]1.6[/C][C]0.813030202384774[/C][C]0.786969797615226[/C][/ROW]
[ROW][C]229[/C][C]1.9[/C][C]1.40375169997623[/C][C]0.496248300023765[/C][/ROW]
[ROW][C]230[/C][C]0.9[/C][C]1.83288979826091[/C][C]-0.932889798260911[/C][/ROW]
[ROW][C]231[/C][C]0.8[/C][C]0.413479336880098[/C][C]0.386520663119902[/C][/ROW]
[ROW][C]232[/C][C]1.2[/C][C]0.221620339062163[/C][C]0.978379660937837[/C][/ROW]
[ROW][C]233[/C][C]1.4[/C][C]0.872936975559937[/C][C]0.527063024440063[/C][/ROW]
[ROW][C]234[/C][C]1.5[/C][C]1.6054906013391[/C][C]-0.105490601339103[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]2.60713551042693[/C][C]-1.60713551042693[/C][/ROW]
[ROW][C]236[/C][C]1.3[/C][C]1.98202806147811[/C][C]-0.682028061478115[/C][/ROW]
[ROW][C]237[/C][C]1.5[/C][C]1.6337793700408[/C][C]-0.133779370040802[/C][/ROW]
[ROW][C]238[/C][C]1.4[/C][C]1.15506141063601[/C][C]0.244938589363985[/C][/ROW]
[ROW][C]239[/C][C]1.9[/C][C]0.781574491044166[/C][C]1.11842550895583[/C][/ROW]
[ROW][C]240[/C][C]2.8[/C][C]1.56696643960813[/C][C]1.23303356039187[/C][/ROW]
[ROW][C]241[/C][C]2.2[/C][C]2.80235008629653[/C][C]-0.602350086296525[/C][/ROW]
[ROW][C]242[/C][C]2.7[/C][C]2.17935239319526[/C][C]0.520647606804737[/C][/ROW]
[ROW][C]243[/C][C]3.3[/C][C]2.51346739329587[/C][C]0.78653260670413[/C][/ROW]
[ROW][C]244[/C][C]3[/C][C]3.11073274356044[/C][C]-0.110732743560436[/C][/ROW]
[ROW][C]245[/C][C]3.4[/C][C]2.91430282687095[/C][C]0.485697173129054[/C][/ROW]
[ROW][C]246[/C][C]4.4[/C][C]3.75256455496144[/C][C]0.647435445038565[/C][/ROW]
[ROW][C]247[/C][C]5.6[/C][C]5.65989921032425[/C][C]-0.0598992103242546[/C][/ROW]
[ROW][C]248[/C][C]6.5[/C][C]7.10597048972792[/C][C]-0.605970489727925[/C][/ROW]
[ROW][C]249[/C][C]6.2[/C][C]7.44814607157798[/C][C]-1.24814607157798[/C][/ROW]
[ROW][C]250[/C][C]6.5[/C][C]6.3584421610985[/C][C]0.141557838901502[/C][/ROW]
[ROW][C]251[/C][C]6.9[/C][C]6.33117540124085[/C][C]0.568824598759152[/C][/ROW]
[ROW][C]252[/C][C]6.5[/C][C]6.90373821563039[/C][C]-0.403738215630388[/C][/ROW]
[ROW][C]253[/C][C]7.1[/C][C]6.5079664718932[/C][C]0.592033528106797[/C][/ROW]
[ROW][C]254[/C][C]8.7[/C][C]7.29086077037434[/C][C]1.40913922962566[/C][/ROW]
[ROW][C]255[/C][C]8.3[/C][C]8.83216677973275[/C][C]-0.532166779732746[/C][/ROW]
[ROW][C]256[/C][C]8.5[/C][C]8.2864193279467[/C][C]0.2135806720533[/C][/ROW]
[ROW][C]257[/C][C]7.7[/C][C]8.63280892784496[/C][C]-0.932808927844964[/C][/ROW]
[ROW][C]258[/C][C]7.1[/C][C]8.13040633446195[/C][C]-1.03040633446195[/C][/ROW]
[ROW][C]259[/C][C]6.3[/C][C]8.11783079233992[/C][C]-1.81783079233992[/C][/ROW]
[ROW][C]260[/C][C]4.9[/C][C]7.29137056400096[/C][C]-2.39137056400096[/C][/ROW]
[ROW][C]261[/C][C]4.6[/C][C]5.03442385502995[/C][C]-0.434423855029955[/C][/ROW]
[ROW][C]262[/C][C]4[/C][C]4.03844842912254[/C][C]-0.0384484291225355[/C][/ROW]
[ROW][C]263[/C][C]2.4[/C][C]3.08374353077145[/C][C]-0.683743530771449[/C][/ROW]
[ROW][C]264[/C][C]1.2[/C][C]1.42658717401789[/C][C]-0.226587174017891[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]0.298346981914913[/C][C]0.701653018085087[/C][/ROW]
[ROW][C]266[/C][C]-1.6[/C][C]0.291396599997748[/C][C]-1.89139659999775[/C][/ROW]
[ROW][C]267[/C][C]-1.2[/C][C]-2.86484260915128[/C][C]1.66484260915128[/C][/ROW]
[ROW][C]268[/C][C]-1.5[/C][C]-2.44856003123726[/C][C]0.948560031237256[/C][/ROW]
[ROW][C]269[/C][C]-1.4[/C][C]-2.51165806341789[/C][C]1.11165806341789[/C][/ROW]
[ROW][C]270[/C][C]-1.7[/C][C]-1.79568432986243[/C][C]0.0956843298624339[/C][/ROW]
[ROW][C]271[/C][C]-1.8[/C][C]-1.30641083863787[/C][C]-0.493589161362129[/C][/ROW]
[ROW][C]272[/C][C]-1.2[/C][C]-1.21351387406136[/C][C]0.0135138740613583[/C][/ROW]
[ROW][C]273[/C][C]-0.8[/C][C]-0.970936666343992[/C][C]0.170936666343992[/C][/ROW]
[ROW][C]274[/C][C]-0.5[/C][C]-1.15016828747076[/C][C]0.650168287470763[/C][/ROW]
[ROW][C]275[/C][C]0.6[/C][C]-1.1714278181147[/C][C]1.7714278181147[/C][/ROW]
[ROW][C]276[/C][C]1.9[/C][C]0.228763797719974[/C][C]1.67123620228003[/C][/ROW]
[ROW][C]277[/C][C]1.5[/C][C]1.98648836118765[/C][C]-0.486488361187646[/C][/ROW]
[ROW][C]278[/C][C]2.7[/C][C]1.5527453063301[/C][C]1.1472546936699[/C][/ROW]
[ROW][C]279[/C][C]2.4[/C][C]2.83411763707238[/C][C]-0.434117637072384[/C][/ROW]
[ROW][C]280[/C][C]2.8[/C][C]2.26606197013766[/C][C]0.533938029862341[/C][/ROW]
[ROW][C]281[/C][C]3.1[/C][C]2.77733945343579[/C][C]0.322660546564209[/C][/ROW]
[ROW][C]282[/C][C]2.9[/C][C]3.5060095713751[/C][C]-0.606009571375104[/C][/ROW]
[ROW][C]283[/C][C]3.3[/C][C]4.00379974854531[/C][C]-0.703799748545307[/C][/ROW]
[ROW][C]284[/C][C]3.5[/C][C]4.60510781811001[/C][C]-1.10510781811001[/C][/ROW]
[ROW][C]285[/C][C]3.6[/C][C]4.30310272806617[/C][C]-0.703102728066167[/C][/ROW]
[ROW][C]286[/C][C]4.4[/C][C]3.68532460920494[/C][C]0.714675390795056[/C][/ROW]
[ROW][C]287[/C][C]5.1[/C][C]4.15359080927419[/C][C]0.946409190725808[/C][/ROW]
[ROW][C]288[/C][C]4.6[/C][C]4.99419263594929[/C][C]-0.394192635949286[/C][/ROW]
[ROW][C]289[/C][C]4.9[/C][C]4.55337101022566[/C][C]0.346628989774343[/C][/ROW]
[ROW][C]290[/C][C]4.9[/C][C]5.02048215478285[/C][C]-0.120482154782849[/C][/ROW]
[ROW][C]291[/C][C]5.4[/C][C]4.81362005089153[/C][C]0.586379949108469[/C][/ROW]
[ROW][C]292[/C][C]5.3[/C][C]5.23233500028834[/C][C]0.0676649997116554[/C][/ROW]
[ROW][C]293[/C][C]5.5[/C][C]5.18865219735029[/C][C]0.311347802649712[/C][/ROW]
[ROW][C]294[/C][C]6.4[/C][C]5.73201399073588[/C][C]0.667986009264116[/C][/ROW]
[ROW][C]295[/C][C]6.5[/C][C]7.50741623666477[/C][C]-1.00741623666477[/C][/ROW]
[ROW][C]296[/C][C]6.2[/C][C]7.84937333141775[/C][C]-1.64937333141775[/C][/ROW]
[ROW][C]297[/C][C]6.1[/C][C]7.03197790187013[/C][C]-0.931977901870134[/C][/ROW]
[ROW][C]298[/C][C]5.5[/C][C]6.22633153737035[/C][C]-0.726331537370348[/C][/ROW]
[ROW][C]299[/C][C]4.2[/C][C]5.05897410361317[/C][C]-0.858974103613171[/C][/ROW]
[ROW][C]300[/C][C]4.1[/C][C]3.51606732712755[/C][C]0.583932672872447[/C][/ROW]
[ROW][C]301[/C][C]4.5[/C][C]3.58647049608178[/C][C]0.913529503918218[/C][/ROW]
[ROW][C]302[/C][C]3.2[/C][C]4.19030095409893[/C][C]-0.990300954098927[/C][/ROW]
[ROW][C]303[/C][C]3.6[/C][C]2.72591113078288[/C][C]0.874088869217117[/C][/ROW]
[ROW][C]304[/C][C]3.4[/C][C]2.9224199797027[/C][C]0.477580020297298[/C][/ROW]
[ROW][C]305[/C][C]3[/C][C]2.89185847851415[/C][C]0.10814152148585[/C][/ROW]
[ROW][C]306[/C][C]2.2[/C][C]2.85341111422809[/C][C]-0.653411114228089[/C][/ROW]
[ROW][C]307[/C][C]1.8[/C][C]2.64600021126717[/C][C]-0.846000211267172[/C][/ROW]
[ROW][C]308[/C][C]2[/C][C]2.48257451119208[/C][C]-0.482574511192075[/C][/ROW]
[ROW][C]309[/C][C]1.9[/C][C]2.38266387736604[/C][C]-0.482663877366036[/C][/ROW]
[ROW][C]310[/C][C]1.7[/C][C]1.66570879186172[/C][C]0.0342912081382842[/C][/ROW]
[ROW][C]311[/C][C]2[/C][C]0.977467228273897[/C][C]1.0225327717261[/C][/ROW]
[ROW][C]312[/C][C]2.5[/C][C]1.37699752794511[/C][C]1.12300247205489[/C][/ROW]
[ROW][C]313[/C][C]2[/C][C]2.15254880126207[/C][C]-0.152548801262072[/C][/ROW]
[ROW][C]314[/C][C]3.2[/C][C]1.63596899556111[/C][C]1.56403100443889[/C][/ROW]
[ROW][C]315[/C][C]2.1[/C][C]3.10305811591053[/C][C]-1.00305811591053[/C][/ROW]
[ROW][C]316[/C][C]2.4[/C][C]1.64470416231707[/C][C]0.755295837682926[/C][/ROW]
[ROW][C]317[/C][C]2.1[/C][C]2.00846191449789[/C][C]0.0915380855021142[/C][/ROW]
[ROW][C]318[/C][C]2.7[/C][C]2.06031757866347[/C][C]0.639682421336527[/C][/ROW]
[ROW][C]319[/C][C]2.7[/C][C]3.41328793246281[/C][C]-0.713287932462814[/C][/ROW]
[ROW][C]320[/C][C]2.6[/C][C]3.79390049128907[/C][C]-1.19390049128907[/C][/ROW]
[ROW][C]321[/C][C]3.1[/C][C]3.31096405353292[/C][C]-0.210964053532924[/C][/ROW]
[ROW][C]322[/C][C]3.2[/C][C]3.20561865458406[/C][C]-0.00561865458405997[/C][/ROW]
[ROW][C]323[/C][C]3[/C][C]2.86652367646354[/C][C]0.133476323536462[/C][/ROW]
[ROW][C]324[/C][C]2.5[/C][C]2.61678671684923[/C][C]-0.116786716849234[/C][/ROW]
[ROW][C]325[/C][C]2.5[/C][C]2.11504216081509[/C][C]0.384957839184913[/C][/ROW]
[ROW][C]326[/C][C]2[/C][C]2.27351209121993[/C][C]-0.273512091219933[/C][/ROW]
[ROW][C]327[/C][C]2.4[/C][C]1.60192210354676[/C][C]0.79807789645324[/C][/ROW]
[ROW][C]328[/C][C]1.8[/C][C]1.98927994255226[/C][C]-0.189279942552261[/C][/ROW]
[ROW][C]329[/C][C]2.5[/C][C]1.32040268270286[/C][C]1.17959731729714[/C][/ROW]
[ROW][C]330[/C][C]2.3[/C][C]2.49315551117126[/C][C]-0.193155511171263[/C][/ROW]
[ROW][C]331[/C][C]2.3[/C][C]2.91028077351033[/C][C]-0.61028077351033[/C][/ROW]
[ROW][C]332[/C][C]2[/C][C]3.30335028827789[/C][C]-1.30335028827789[/C][/ROW]
[ROW][C]333[/C][C]1.6[/C][C]2.72166855291108[/C][C]-1.12166855291108[/C][/ROW]
[ROW][C]334[/C][C]1.6[/C][C]1.56792176636802[/C][C]0.0320782336319789[/C][/ROW]
[ROW][C]335[/C][C]1.4[/C][C]1.06281994772115[/C][C]0.337180052278854[/C][/ROW]
[ROW][C]336[/C][C]1.5[/C][C]0.807124795849338[/C][C]0.692875204150662[/C][/ROW]
[ROW][C]337[/C][C]0.8[/C][C]1.04920921519291[/C][C]-0.249209215192913[/C][/ROW]
[ROW][C]338[/C][C]1.4[/C][C]0.423353996539277[/C][C]0.976646003460723[/C][/ROW]
[ROW][C]339[/C][C]1.4[/C][C]1.04681217783848[/C][C]0.353187822161516[/C][/ROW]
[ROW][C]340[/C][C]1.5[/C][C]0.934950259529335[/C][C]0.565049740470665[/C][/ROW]
[ROW][C]341[/C][C]1.2[/C][C]1.1727401319378[/C][C]0.027259868062204[/C][/ROW]
[ROW][C]342[/C][C]1.4[/C][C]1.09615601468549[/C][C]0.303843985314506[/C][/ROW]
[ROW][C]343[/C][C]1.6[/C][C]1.94581185973236[/C][C]-0.345811859732355[/C][/ROW]
[ROW][C]344[/C][C]2[/C][C]2.5793762784916[/C][C]-0.579376278491596[/C][/ROW]
[ROW][C]345[/C][C]1.6[/C][C]2.84656248132394[/C][C]-1.24656248132394[/C][/ROW]
[ROW][C]346[/C][C]1.3[/C][C]1.80184057510783[/C][C]-0.501840575107834[/C][/ROW]
[ROW][C]347[/C][C]1.5[/C][C]0.877457394660602[/C][C]0.622542605339398[/C][/ROW]
[ROW][C]348[/C][C]1.6[/C][C]1.01407797246634[/C][C]0.585922027533659[/C][/ROW]
[ROW][C]349[/C][C]1.8[/C][C]1.17408858534853[/C][C]0.625911414651471[/C][/ROW]
[ROW][C]350[/C][C]2.3[/C][C]1.67686053347645[/C][C]0.623139466523548[/C][/ROW]
[ROW][C]351[/C][C]2.3[/C][C]2.09788195637309[/C][C]0.202118043626909[/C][/ROW]
[ROW][C]352[/C][C]2.3[/C][C]2.00616989016932[/C][C]0.29383010983068[/C][/ROW]
[ROW][C]353[/C][C]2[/C][C]2.05445655836712[/C][C]-0.0544565583671215[/C][/ROW]
[ROW][C]354[/C][C]1.9[/C][C]2.00888154058055[/C][C]-0.108881540580555[/C][/ROW]
[ROW][C]355[/C][C]1.8[/C][C]2.44815305882133[/C][C]-0.648153058821331[/C][/ROW]
[ROW][C]356[/C][C]1.3[/C][C]2.75365028055713[/C][C]-1.45365028055713[/C][/ROW]
[ROW][C]357[/C][C]1.9[/C][C]1.98659910127703[/C][C]-0.0865991012770317[/C][/ROW]
[ROW][C]358[/C][C]2.1[/C][C]2.08874596321386[/C][C]0.011254036786136[/C][/ROW]
[ROW][C]359[/C][C]2.3[/C][C]1.82198647064257[/C][C]0.478013529357425[/C][/ROW]
[ROW][C]360[/C][C]2.1[/C][C]1.89895957956164[/C][C]0.201040420438358[/C][/ROW]
[ROW][C]361[/C][C]2.5[/C][C]1.71810131235389[/C][C]0.781898687646106[/C][/ROW]
[ROW][C]362[/C][C]0.8[/C][C]2.40503948457726[/C][C]-1.60503948457726[/C][/ROW]
[ROW][C]363[/C][C]0.9[/C][C]0.398780196043157[/C][C]0.501219803956843[/C][/ROW]
[ROW][C]364[/C][C]1.2[/C][C]0.312972221634661[/C][C]0.887027778365339[/C][/ROW]
[ROW][C]365[/C][C]1.5[/C][C]0.706768617237219[/C][C]0.793231382762781[/C][/ROW]
[ROW][C]366[/C][C]1.5[/C][C]1.40369636419628[/C][C]0.0963036358037166[/C][/ROW]
[ROW][C]367[/C][C]1.4[/C][C]1.98800417288625[/C][C]-0.588004172886253[/C][/ROW]
[ROW][C]368[/C][C]1.8[/C][C]2.29478819863209[/C][C]-0.494788198632087[/C][/ROW]
[ROW][C]369[/C][C]1.6[/C][C]2.67642627409759[/C][C]-1.07642627409759[/C][/ROW]
[ROW][C]370[/C][C]1.9[/C][C]1.8638116967111[/C][C]0.0361883032889037[/C][/ROW]
[ROW][C]371[/C][C]1.7[/C][C]1.6551917172929[/C][C]0.0448082827070977[/C][/ROW]
[ROW][C]372[/C][C]1.8[/C][C]1.24044433546608[/C][C]0.559555664533919[/C][/ROW]
[ROW][C]373[/C][C]1.5[/C][C]1.42337554420031[/C][C]0.0766244557996876[/C][/ROW]
[ROW][C]374[/C][C]2.9[/C][C]1.15856276685401[/C][C]1.74143723314599[/C][/ROW]
[ROW][C]375[/C][C]2.1[/C][C]2.83522926949144[/C][C]-0.735229269491442[/C][/ROW]
[ROW][C]376[/C][C]1.8[/C][C]1.84939322206204[/C][C]-0.0493932220620359[/C][/ROW]
[ROW][C]377[/C][C]1.8[/C][C]1.43337430956648[/C][C]0.366625690433521[/C][/ROW]
[ROW][C]378[/C][C]1.9[/C][C]1.68078106150233[/C][C]0.219218938497666[/C][/ROW]
[ROW][C]379[/C][C]2.1[/C][C]2.34713079354966[/C][C]-0.247130793549655[/C][/ROW]
[ROW][C]380[/C][C]2.3[/C][C]3.04991926686779[/C][C]-0.749919266867793[/C][/ROW]
[ROW][C]381[/C][C]2.5[/C][C]3.18389906109695[/C][C]-0.683899061096946[/C][/ROW]
[ROW][C]382[/C][C]2.5[/C][C]2.91046656323908[/C][C]-0.410466563239082[/C][/ROW]
[ROW][C]383[/C][C]2.2[/C][C]2.30938866035028[/C][C]-0.109388660350278[/C][/ROW]
[ROW][C]384[/C][C]1.9[/C][C]1.78443759765318[/C][C]0.115562402346818[/C][/ROW]
[ROW][C]385[/C][C]1.7[/C][C]1.44381337056729[/C][C]0.256186629432713[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318754&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318754&T=2

As an alternative you can also use a QR Code:

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

Interpolation Forecasts of Exponential Smoothing
t	Observed	Fitted	Residuals
13	9.31	5.93045940170941	3.37954059829059
14	10.4	10.543208114985	-0.143208114985006
15	11.3	11.3665940535765	-0.0665940535764964
16	12.2	12.0755827845954	0.124417215404634
17	14.19	14.0804081130953	0.109591886904655
18	16.31	16.2441075946648	0.0658924053351555
19	19.21	19.8372438199022	-0.627243819902219
20	23.6	20.6832079512475	2.91679204875251
21	26.4	24.3478983197845	2.05210168021553
22	27.09	27.8268005338568	-0.736800533856769
23	26.81	29.5484621264018	-2.73846212640177
24	27.9	28.6342133867029	-0.734213386702859
25	27.39	29.3102688571063	-1.92026885710631
26	28.4	28.4698604244248	-0.069860424424796
27	27.1	29.0990817344459	-1.99908173444589
28	26.6	27.4405038481516	-0.840503848151577
29	24.91	27.8027897876453	-2.89278978764527
30	22.79	25.9346556836229	-3.14465568362294
31	19.4	24.7272799319316	-5.32727993193165
32	15.3	18.9162735049154	-3.61627350491544
33	11.49	12.8309742628468	-1.34097426284677
34	8.61	8.78023958625643	-0.170239586256431
35	7.4	6.79947137957332	0.600528620426682
36	6.6	5.59328893082244	1.00671106917756
37	4.3	4.55292187223308	-0.25292187223308
38	4.4	2.41865694554992	1.98134305445008
39	3.4	2.1795778213414	1.2204221786586
40	3.2	1.48820295704685	1.71179704295315
41	2.7	2.39006367363186	0.309936326368141
42	1.11	2.32159699238916	-1.21159699238916
43	1.1	1.91573854097443	-0.815738540974426
44	2.5	0.321849590493457	2.17815040950654
45	2.91	0.640334786411023	2.26966521358898
46	3.1	1.48145485127289	1.61854514872711
47	3.7	2.96668649221621	0.733313507783793
48	4.3	3.68430554431238	0.615694455687617
49	2.2	3.89821372937339	-1.69821372937339
50	1.8	2.04948518621434	-0.249485186214338
51	1.6	0.785486603887987	0.814513396112013
52	1.3	0.786459921128816	0.513540078871184
53	3.6	1.31248850795495	2.28751149204505
54	4.4	4.13536719448735	0.264632805512652
55	4.7	6.53495119622936	-1.83495119622936
56	4.9	5.44562975022727	-0.545629750227267
57	4.5	4.02997557135304	0.470024428646957
58	4.8	3.64587656900075	1.15412343099925
59	4.4	5.05287125864518	-0.652871258645177
60	4.5	4.66228847874635	-0.16228847874635
61	5.5	4.04836990413645	1.45163009586355
62	5.3	5.80698345060329	-0.506983450603295
63	5.3	4.91568762556769	0.38431237443231
64	7.1	4.96090153543987	2.13909846456013
65	4.7	7.85619051299111	-3.15619051299111
66	4.8	5.31485632410792	-0.514856324107923
67	5.2	6.54853725159877	-1.34853725159877
68	5.8	5.79048552388295	0.00951447611704825
69	7.5	4.84194942287199	2.65805057712801
70	7.9	6.77861919664218	1.12138080335782
71	8.2	8.26097706596958	-0.060977065969583
72	8.8	8.78701351919799	0.012986480802013
73	10.3	8.81158915450288	1.48841084549712
74	10.8	10.8318414710479	-0.0318414710479491
75	12.2	10.8904953995351	1.30950460046494
76	12.6	12.5176098049285	0.0823901950714827
77	14	13.3843913031924	0.615608696807588
78	15.1	15.4147044514399	-0.3147044514399
79	16.2	17.6882486975535	-1.48824869755353
80	16.4	17.7873623935722	-1.38736239357218
81	15.7	16.389951324582	-0.689951324581973
82	15.9	15.2158505365481	0.684149463451936
83	16.7	16.2441921699239	0.455807830076079
84	18.8	17.3769126933777	1.42308730662231
85	21.1	19.1700433642018	1.9299566357982
86	23.2	21.9187797929076	1.28122020709239
87	22.4	23.9354756527896	-1.53547565278964
88	21.7	23.0068731953569	-1.30687319535692
89	21.3	22.5663831731781	-1.26638317317807
90	22.6	22.4174424296865	0.182557570313456
91	24	24.7862770472689	-0.786277047268914
92	25.8	25.3772158704471	0.42278412955287
93	27.3	25.8417026358305	1.45829736416947
94	27.7	27.2457364380917	0.454263561908324
95	27.5	28.4914035204803	-0.991403520480318
96	25.5	28.5573661625033	-3.05736616250326
97	24.1	25.6952354619864	-1.59523546198643
98	22.4	24.012769996179	-1.61276999617899
99	21.3	21.5532967663838	-0.253296766383752
100	20.7	20.4555082065366	0.244491793463386
101	20.3	20.33813692611	-0.0381369261099778
102	18.9	20.5148603332559	-1.61486033325593
103	16.7	19.9307447465519	-3.23074474655193
104	14.5	16.7199007535203	-2.21990075352031
105	13.2	12.7506243278222	0.449375672177823
106	12.1	10.9269327571936	1.17306724280638
107	11.2	10.6366526031454	0.563347396854589
108	10.1	10.1551906488713	-0.055190648871335
109	9	8.83591838605022	0.164081613949776
110	9.3	7.72653635526088	1.57346364473912
111	9.8	7.78860763317628	2.01139236682372
112	9.7	8.66830439104761	1.03169560895239
113	8.9	9.23028052289784	-0.330280522897844
114	8.6	8.94357320055438	-0.343573200554378
115	8.3	9.55490108957633	-1.25490108957633
116	8.1	8.70649301044537	-0.606493010445371
117	7.4	7.14694729802462	0.253052701975385
118	7	5.88123173992482	1.11876826007518
119	6.9	6.17698670745687	0.723013292543135
120	7	6.50598105295384	0.49401894704616
121	5.9	6.50912552922007	-0.609125529220068
122	5.6	5.45115043270998	0.148849567290024
123	4	4.65566305779743	-0.655663057797434
124	3.2	2.9833554555011	0.2166445444989
125	2.8	2.5519812840909	0.248018715909097
126	2.8	2.75739945175977	0.042600548240225
127	2.7	3.68212527019111	-0.98212527019111
128	1.9	3.19775891645608	-1.29775891645608
129	1.8	1.00793652208778	0.792063477912219
130	1.5	0.343923249849836	1.15607675015016
131	1.1	0.691749085670209	0.408250914329791
132	0.4	0.705798648085017	-0.305798648085017
133	0.3	-0.250562615046708	0.550562615046708
134	-1	-0.124421872021783	-0.875578127978217
135	0.7	-2.04449140446737	2.74449140446737
136	-0.3	-0.0520236893408548	-0.247976310659145
137	-1	-0.544741736509953	-0.455258263490047
138	-1.3	-0.755092179488607	-0.544907820511394
139	-1.4	-0.29374420634726	-1.10625579365274
140	-1.4	-0.78107840299034	-0.61892159700966
141	-1.5	-1.94496774398783	0.444967743987825
142	-1.1	-2.71599771760771	1.61599771760771
143	-1.2	-1.72895352640176	0.528953526401763
144	-1	-1.36846351569732	0.368463515697318
145	-1.2	-1.24132929909382	0.041329299093825
146	-1.3	-1.3773345173277	0.0773345173276963
147	-1.8	-1.68526127589978	-0.114738724100222
148	-1.3	-2.5633219008803	1.2633219008803
149	-2.2	-1.4198144949581	-0.780185505041901
150	-2.68	-1.74464477043211	-0.935355229567894
151	-1.4	-1.55655355042429	0.156553550424286
152	-1.7	-0.498806068844684	-1.20119393115532
153	-0.8	-1.88629129585825	1.08629129585825
154	-0.6	-1.63109539865033	1.03109539865033
155	-0.9	-1.01388746470607	0.113887464706069
156	-1	-0.867940537365736	-0.132059462634264
157	-0.2	-1.12907200357572	0.929072003575724
158	0.7	-0.191740568470797	0.891740568470797
159	-0.2	0.62353422696251	-0.82353422696251
160	-0.3	-0.551164374290592	0.251164374290592
161	0.1	-0.396405242995965	0.496405242995965
162	0.5	0.760649035057251	-0.260649035057251
163	0.5	2.07153570703528	-1.57153570703528
164	0.3	1.56115568808543	-1.26115568808543
165	0	0.404512066290722	-0.404512066290722
166	0	-0.850880556674228	0.850880556674228
167	1.3	-0.618010421351273	1.91801042135127
168	0.4	1.33179890862214	-0.931798908622138
169	1.2	0.41723602625333	0.78276397374667
170	0	1.20576195729568	-1.20576195729568
171	0.8	-0.405186252043557	1.20518625204356
172	1.6	0.359342251631595	1.2406577483684
173	1.7	1.59210225788772	0.107897742112276
174	1.4	2.41187123926787	-1.01187123926787
175	1.5	2.88535210035856	-1.38535210035856
176	1	2.55433027969098	-1.55433027969098
177	-0.1	1.12237113450947	-1.22237113450947
178	0.2	-1.00207933142927	1.20207933142927
179	-0.3	-0.507940342481063	0.207940342481063
180	-0.3	-0.772033632686892	0.472033632686892
181	-1	-0.452003139850663	-0.547996860149337
182	0	-1.45172301161575	1.45172301161575
183	-0.8	-0.395443290789622	-0.404556709210378
184	-1.3	-1.36155501490529	0.0615550149052879
185	-1.1	-1.73691526414253	0.636915264142525
186	-0.8	-0.850616622748524	0.0506166227485241
187	-0.9	0.413111706735613	-1.31311170673561
188	-0.7	-0.0209666506871071	-0.679033349312893
189	-0.7	-0.630179125452814	-0.069820874547186
190	-0.8	-1.33548503890566	0.535485038905664
191	-0.7	-1.46504482013999	0.765044820139995
192	-0.4	-1.03486835039472	0.634868350394725
193	0.4	-0.451339098138655	0.851339098138655
194	0.2	0.406479439271698	-0.206479439271698
195	0.9	-0.0673471489504772	0.967347148950477
196	1	0.6422606076058	0.3577393923942
197	0.7	1.00005392062575	-0.300053920625749
198	0.3	1.23702715184622	-0.937027151846215
199	0.5	1.58626219478125	-1.08626219478125
200	0.9	1.54532252870981	-0.645322528709806
201	1.1	1.15364272346646	-0.0536427234664612
202	1.8	0.651972855965623	1.14802714403438
203	3	1.3541696953113	1.6458303046887
204	3.2	2.9848037582909	0.2151962417091
205	3.2	3.51640545507731	-0.316405455077315
206	2.1	3.34432339372532	-1.24432339372532
207	3	1.94905311434127	1.05094688565873
208	3.8	2.66567923340806	1.13432076659194
209	4.4	3.79870082783022	0.601299172169782
210	5	5.07681970255253	-0.076819702552525
211	5.3	6.60546252216491	-1.30546252216491
212	5.3	6.74723328053722	-1.44723328053722
213	5.2	5.87560162578811	-0.675601625788107
214	4.3	5.00204046045991	-0.70204046045991
215	2.8	3.83665664818997	-1.03665664818997
216	2.4	2.24720149564953	0.152798504350465
217	1.9	2.0460211530987	-0.146021153098701
218	3.9	1.3572417139506	2.5427582860494
219	2.7	3.65808047607718	-0.958080476077178
220	1.8	2.19872706624314	-0.398727066243143
221	1.8	1.30134829634455	0.49865170365545
222	1.6	1.85041229921355	-0.250412299213552
223	1.8	2.51631202089177	-0.71631202089177
224	1.3	2.67824616724542	-1.37824616724542
225	0.9	1.42001988902599	-0.520019889025992
226	1.2	0.209131507663243	0.990868492336757
227	1.3	0.391385497146563	0.908614502853437
228	1.6	0.813030202384774	0.786969797615226
229	1.9	1.40375169997623	0.496248300023765
230	0.9	1.83288979826091	-0.932889798260911
231	0.8	0.413479336880098	0.386520663119902
232	1.2	0.221620339062163	0.978379660937837
233	1.4	0.872936975559937	0.527063024440063
234	1.5	1.6054906013391	-0.105490601339103
235	1	2.60713551042693	-1.60713551042693
236	1.3	1.98202806147811	-0.682028061478115
237	1.5	1.6337793700408	-0.133779370040802
238	1.4	1.15506141063601	0.244938589363985
239	1.9	0.781574491044166	1.11842550895583
240	2.8	1.56696643960813	1.23303356039187
241	2.2	2.80235008629653	-0.602350086296525
242	2.7	2.17935239319526	0.520647606804737
243	3.3	2.51346739329587	0.78653260670413
244	3	3.11073274356044	-0.110732743560436
245	3.4	2.91430282687095	0.485697173129054
246	4.4	3.75256455496144	0.647435445038565
247	5.6	5.65989921032425	-0.0598992103242546
248	6.5	7.10597048972792	-0.605970489727925
249	6.2	7.44814607157798	-1.24814607157798
250	6.5	6.3584421610985	0.141557838901502
251	6.9	6.33117540124085	0.568824598759152
252	6.5	6.90373821563039	-0.403738215630388
253	7.1	6.5079664718932	0.592033528106797
254	8.7	7.29086077037434	1.40913922962566
255	8.3	8.83216677973275	-0.532166779732746
256	8.5	8.2864193279467	0.2135806720533
257	7.7	8.63280892784496	-0.932808927844964
258	7.1	8.13040633446195	-1.03040633446195
259	6.3	8.11783079233992	-1.81783079233992
260	4.9	7.29137056400096	-2.39137056400096
261	4.6	5.03442385502995	-0.434423855029955
262	4	4.03844842912254	-0.0384484291225355
263	2.4	3.08374353077145	-0.683743530771449
264	1.2	1.42658717401789	-0.226587174017891
265	1	0.298346981914913	0.701653018085087
266	-1.6	0.291396599997748	-1.89139659999775
267	-1.2	-2.86484260915128	1.66484260915128
268	-1.5	-2.44856003123726	0.948560031237256
269	-1.4	-2.51165806341789	1.11165806341789
270	-1.7	-1.79568432986243	0.0956843298624339
271	-1.8	-1.30641083863787	-0.493589161362129
272	-1.2	-1.21351387406136	0.0135138740613583
273	-0.8	-0.970936666343992	0.170936666343992
274	-0.5	-1.15016828747076	0.650168287470763
275	0.6	-1.1714278181147	1.7714278181147
276	1.9	0.228763797719974	1.67123620228003
277	1.5	1.98648836118765	-0.486488361187646
278	2.7	1.5527453063301	1.1472546936699
279	2.4	2.83411763707238	-0.434117637072384
280	2.8	2.26606197013766	0.533938029862341
281	3.1	2.77733945343579	0.322660546564209
282	2.9	3.5060095713751	-0.606009571375104
283	3.3	4.00379974854531	-0.703799748545307
284	3.5	4.60510781811001	-1.10510781811001
285	3.6	4.30310272806617	-0.703102728066167
286	4.4	3.68532460920494	0.714675390795056
287	5.1	4.15359080927419	0.946409190725808
288	4.6	4.99419263594929	-0.394192635949286
289	4.9	4.55337101022566	0.346628989774343
290	4.9	5.02048215478285	-0.120482154782849
291	5.4	4.81362005089153	0.586379949108469
292	5.3	5.23233500028834	0.0676649997116554
293	5.5	5.18865219735029	0.311347802649712
294	6.4	5.73201399073588	0.667986009264116
295	6.5	7.50741623666477	-1.00741623666477
296	6.2	7.84937333141775	-1.64937333141775
297	6.1	7.03197790187013	-0.931977901870134
298	5.5	6.22633153737035	-0.726331537370348
299	4.2	5.05897410361317	-0.858974103613171
300	4.1	3.51606732712755	0.583932672872447
301	4.5	3.58647049608178	0.913529503918218
302	3.2	4.19030095409893	-0.990300954098927
303	3.6	2.72591113078288	0.874088869217117
304	3.4	2.9224199797027	0.477580020297298
305	3	2.89185847851415	0.10814152148585
306	2.2	2.85341111422809	-0.653411114228089
307	1.8	2.64600021126717	-0.846000211267172
308	2	2.48257451119208	-0.482574511192075
309	1.9	2.38266387736604	-0.482663877366036
310	1.7	1.66570879186172	0.0342912081382842
311	2	0.977467228273897	1.0225327717261
312	2.5	1.37699752794511	1.12300247205489
313	2	2.15254880126207	-0.152548801262072
314	3.2	1.63596899556111	1.56403100443889
315	2.1	3.10305811591053	-1.00305811591053
316	2.4	1.64470416231707	0.755295837682926
317	2.1	2.00846191449789	0.0915380855021142
318	2.7	2.06031757866347	0.639682421336527
319	2.7	3.41328793246281	-0.713287932462814
320	2.6	3.79390049128907	-1.19390049128907
321	3.1	3.31096405353292	-0.210964053532924
322	3.2	3.20561865458406	-0.00561865458405997
323	3	2.86652367646354	0.133476323536462
324	2.5	2.61678671684923	-0.116786716849234
325	2.5	2.11504216081509	0.384957839184913
326	2	2.27351209121993	-0.273512091219933
327	2.4	1.60192210354676	0.79807789645324
328	1.8	1.98927994255226	-0.189279942552261
329	2.5	1.32040268270286	1.17959731729714
330	2.3	2.49315551117126	-0.193155511171263
331	2.3	2.91028077351033	-0.61028077351033
332	2	3.30335028827789	-1.30335028827789
333	1.6	2.72166855291108	-1.12166855291108
334	1.6	1.56792176636802	0.0320782336319789
335	1.4	1.06281994772115	0.337180052278854
336	1.5	0.807124795849338	0.692875204150662
337	0.8	1.04920921519291	-0.249209215192913
338	1.4	0.423353996539277	0.976646003460723
339	1.4	1.04681217783848	0.353187822161516
340	1.5	0.934950259529335	0.565049740470665
341	1.2	1.1727401319378	0.027259868062204
342	1.4	1.09615601468549	0.303843985314506
343	1.6	1.94581185973236	-0.345811859732355
344	2	2.5793762784916	-0.579376278491596
345	1.6	2.84656248132394	-1.24656248132394
346	1.3	1.80184057510783	-0.501840575107834
347	1.5	0.877457394660602	0.622542605339398
348	1.6	1.01407797246634	0.585922027533659
349	1.8	1.17408858534853	0.625911414651471
350	2.3	1.67686053347645	0.623139466523548
351	2.3	2.09788195637309	0.202118043626909
352	2.3	2.00616989016932	0.29383010983068
353	2	2.05445655836712	-0.0544565583671215
354	1.9	2.00888154058055	-0.108881540580555
355	1.8	2.44815305882133	-0.648153058821331
356	1.3	2.75365028055713	-1.45365028055713
357	1.9	1.98659910127703	-0.0865991012770317
358	2.1	2.08874596321386	0.011254036786136
359	2.3	1.82198647064257	0.478013529357425
360	2.1	1.89895957956164	0.201040420438358
361	2.5	1.71810131235389	0.781898687646106
362	0.8	2.40503948457726	-1.60503948457726
363	0.9	0.398780196043157	0.501219803956843
364	1.2	0.312972221634661	0.887027778365339
365	1.5	0.706768617237219	0.793231382762781
366	1.5	1.40369636419628	0.0963036358037166
367	1.4	1.98800417288625	-0.588004172886253
368	1.8	2.29478819863209	-0.494788198632087
369	1.6	2.67642627409759	-1.07642627409759
370	1.9	1.8638116967111	0.0361883032889037
371	1.7	1.6551917172929	0.0448082827070977
372	1.8	1.24044433546608	0.559555664533919
373	1.5	1.42337554420031	0.0766244557996876
374	2.9	1.15856276685401	1.74143723314599
375	2.1	2.83522926949144	-0.735229269491442
376	1.8	1.84939322206204	-0.0493932220620359
377	1.8	1.43337430956648	0.366625690433521
378	1.9	1.68078106150233	0.219218938497666
379	2.1	2.34713079354966	-0.247130793549655
380	2.3	3.04991926686779	-0.749919266867793
381	2.5	3.18389906109695	-0.683899061096946
382	2.5	2.91046656323908	-0.410466563239082
383	2.2	2.30938866035028	-0.109388660350278
384	1.9	1.78443759765318	0.115562402346818
385	1.7	1.44381337056729	0.256186629432713

Extrapolation Forecasts of Exponential Smoothing
t	Forecast	95% Lower Bound	95% Upper Bound
386	1.41707914095025	-0.691768566360247	3.52592684826075
387	0.965786941195831	-2.15930634687806	4.09088022926973
388	0.498641157115451	-3.6012400999151	4.598522414146
389	-0.0467726851101649	-5.12784186391269	5.03429649369236
390	-0.415692221338512	-6.50112496294651	5.66974052026949
391	-0.287582824075551	-7.40771483406764	6.83254918591654
392	0.348255912530003	-7.84016268451336	8.53667450957336
393	1.04636152816949	-8.24534552996034	10.3380685862993
394	1.40320436482978	-9.02726605601832	11.8336747856779
395	1.24804456953816	-10.3566290199282	12.8527181590045
396	0.901972379690805	-11.9120277126732	13.7159724720548
397	0.506240216773908	-13.5517372873592	14.5642177209071

\begin{tabular}{lllllllll}
\hline
Extrapolation Forecasts of Exponential Smoothing \tabularnewline
t & Forecast & 95% Lower Bound & 95% Upper Bound \tabularnewline
386 & 1.41707914095025 & -0.691768566360247 & 3.52592684826075 \tabularnewline
387 & 0.965786941195831 & -2.15930634687806 & 4.09088022926973 \tabularnewline
388 & 0.498641157115451 & -3.6012400999151 & 4.598522414146 \tabularnewline
389 & -0.0467726851101649 & -5.12784186391269 & 5.03429649369236 \tabularnewline
390 & -0.415692221338512 & -6.50112496294651 & 5.66974052026949 \tabularnewline
391 & -0.287582824075551 & -7.40771483406764 & 6.83254918591654 \tabularnewline
392 & 0.348255912530003 & -7.84016268451336 & 8.53667450957336 \tabularnewline
393 & 1.04636152816949 & -8.24534552996034 & 10.3380685862993 \tabularnewline
394 & 1.40320436482978 & -9.02726605601832 & 11.8336747856779 \tabularnewline
395 & 1.24804456953816 & -10.3566290199282 & 12.8527181590045 \tabularnewline
396 & 0.901972379690805 & -11.9120277126732 & 13.7159724720548 \tabularnewline
397 & 0.506240216773908 & -13.5517372873592 & 14.5642177209071 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318754&T=3

[TABLE]
[ROW][C]Extrapolation Forecasts of Exponential Smoothing[/C][/ROW]
[ROW][C]t[/C][C]Forecast[/C][C]95% Lower Bound[/C][C]95% Upper Bound[/C][/ROW]
[ROW][C]386[/C][C]1.41707914095025[/C][C]-0.691768566360247[/C][C]3.52592684826075[/C][/ROW]
[ROW][C]387[/C][C]0.965786941195831[/C][C]-2.15930634687806[/C][C]4.09088022926973[/C][/ROW]
[ROW][C]388[/C][C]0.498641157115451[/C][C]-3.6012400999151[/C][C]4.598522414146[/C][/ROW]
[ROW][C]389[/C][C]-0.0467726851101649[/C][C]-5.12784186391269[/C][C]5.03429649369236[/C][/ROW]
[ROW][C]390[/C][C]-0.415692221338512[/C][C]-6.50112496294651[/C][C]5.66974052026949[/C][/ROW]
[ROW][C]391[/C][C]-0.287582824075551[/C][C]-7.40771483406764[/C][C]6.83254918591654[/C][/ROW]
[ROW][C]392[/C][C]0.348255912530003[/C][C]-7.84016268451336[/C][C]8.53667450957336[/C][/ROW]
[ROW][C]393[/C][C]1.04636152816949[/C][C]-8.24534552996034[/C][C]10.3380685862993[/C][/ROW]
[ROW][C]394[/C][C]1.40320436482978[/C][C]-9.02726605601832[/C][C]11.8336747856779[/C][/ROW]
[ROW][C]395[/C][C]1.24804456953816[/C][C]-10.3566290199282[/C][C]12.8527181590045[/C][/ROW]
[ROW][C]396[/C][C]0.901972379690805[/C][C]-11.9120277126732[/C][C]13.7159724720548[/C][/ROW]
[ROW][C]397[/C][C]0.506240216773908[/C][C]-13.5517372873592[/C][C]14.5642177209071[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318754&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318754&T=3

As an alternative you can also use a QR Code:

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

Extrapolation Forecasts of Exponential Smoothing
t	Forecast	95% Lower Bound	95% Upper Bound
386	1.41707914095025	-0.691768566360247	3.52592684826075
387	0.965786941195831	-2.15930634687806	4.09088022926973
388	0.498641157115451	-3.6012400999151	4.598522414146
389	-0.0467726851101649	-5.12784186391269	5.03429649369236
390	-0.415692221338512	-6.50112496294651	5.66974052026949
391	-0.287582824075551	-7.40771483406764	6.83254918591654
392	0.348255912530003	-7.84016268451336	8.53667450957336
393	1.04636152816949	-8.24534552996034	10.3380685862993
394	1.40320436482978	-9.02726605601832	11.8336747856779
395	1.24804456953816	-10.3566290199282	12.8527181590045
396	0.901972379690805	-11.9120277126732	13.7159724720548
397	0.506240216773908	-13.5517372873592	14.5642177209071

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = Triple ; par3 = additive ; par4 = 12 ;

Parameters (R input):

par1 = 12 ; par2 = Triple ; par3 = additive ; par4 = 12 ;

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

par1 <- as.numeric(par1)
par4 <- as.numeric(par4)
if (par2 == 'Single') K <- 1
if (par2 == 'Double') K <- 2
if (par2 == 'Triple') K <- par1
nx <- length(x)
nxmK <- nx - K
x <- ts(x, frequency = par1)
if (par2 == 'Single') fit <- HoltWinters(x, gamma=F, beta=F)
if (par2 == 'Double') fit <- HoltWinters(x, gamma=F)
if (par2 == 'Triple') fit <- HoltWinters(x, seasonal=par3)
fit
myresid <- x - fit$fitted[,'xhat']
bitmap(file='test1.png')
op <- par(mfrow=c(2,1))
plot(fit,ylab='Observed (black) / Fitted (red)',main='Interpolation Fit of Exponential Smoothing')
plot(myresid,ylab='Residuals',main='Interpolation Prediction Errors')
par(op)
dev.off()
bitmap(file='test2.png')
p <- predict(fit, par4, prediction.interval=TRUE)
np <- length(p[,1])
plot(fit,p,ylab='Observed (black) / Fitted (red)',main='Extrapolation Fit of Exponential Smoothing')
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(myresid),lag.max = nx/2,main='Residual ACF')
spectrum(myresid,main='Residals Periodogram')
cpgram(myresid,main='Residal Cumulative Periodogram')
qqnorm(myresid,main='Residual Normal QQ Plot')
qqline(myresid)
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Estimated Parameters of Exponential Smoothing',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,fit$alpha)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,fit$beta)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'gamma',header=TRUE)
a<-table.element(a,fit$gamma)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Interpolation Forecasts of Exponential Smoothing',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Fitted',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nxmK) {
a<-table.row.start(a)
a<-table.element(a,i+K,header=TRUE)
a<-table.element(a,x[i+K])
a<-table.element(a,fit$fitted[i,'xhat'])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Extrapolation Forecasts of Exponential Smoothing',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Forecast',header=TRUE)
a<-table.element(a,'95% Lower Bound',header=TRUE)
a<-table.element(a,'95% Upper Bound',header=TRUE)
a<-table.row.end(a)
for (i in 1:np) {
a<-table.row.start(a)
a<-table.element(a,nx+i,header=TRUE)
a<-table.element(a,p[i,'fit'])
a<-table.element(a,p[i,'lwr'])
a<-table.element(a,p[i,'upr'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code