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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_exponentialsmoothing.wasp
Title produced by softwareExponential Smoothing
Date of computationThu, 09 Dec 2010 19:08:42 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/09/t12919215894fd709vdf0p7p78.htm/, Retrieved Sun, 28 Apr 2024 19:16:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107337, Retrieved Sun, 28 Apr 2024 19:16:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD  [Exponential Smoothing] [ws8ExponentialSmo...] [2010-12-07 22:07:07] [8b2514d8f13517d765015fc185a22b4b]
-    D    [Exponential Smoothing] [exponential smoot...] [2010-12-09 18:18:02] [75b8170d590d2aca2c97c1862bb2167f]
-    D        [Exponential Smoothing] [exponential smoot...] [2010-12-09 19:08:42] [a4848c79f7a98c5639a543e143e21e11] [Current]
F               [Exponential Smoothing] [Classical Decompo...] [2010-12-10 17:59:49] [c895532cb7349383dee5125244983cc8]
-               [Exponential Smoothing] [Andere modellen: ...] [2010-12-10 18:01:08] [c895532cb7349383dee5125244983cc8]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
10
10
10
10
9.94
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
10.06
9.94
9.94
9.94
9.94
9.94
9.94
10.06
10.06
9.94
10.06
10.06
10.06
10.18
10.28
10.28
10.18
10.28
10.28
10.28
10.18
10.28
10.28
10.18
10.18
10.18
10.28
10.28
10.18
10.18
10.18
10.18
10.18
10.18
10.28
10.28
10.28
10.18
10.18
10.18
10.28
10.18
10.18
10.28
10.18
10.18
10.18
10.28
10.28
10.28
10.28
10.28
10.28
10.18
10.18
10.18
10.18
10.18
10.18
10.18
10.18
10.18
10.28
10.28
10.28
10.28
10.28
10.28
10.28
10.28
10.18
10.28
10.28
10.28
10.28
10.18
10.28
10.28
10.28
10.18
10.18
10.28
10.28
10.28
10.28
10.28
10.28
10.28
10.18
10.28
10.28
10.28
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.34
10.34
10.34
10.42
10.42
10.42
10.42
10.34
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.34
10.34
10.34
10.34
10.42
10.42
10.34
10.34
10.34
10.42
10.42
10.42
10.34
10.34
10.34
10.34
10.34
10.42
10.42
10.42
10.34
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.34
10.34
10.34
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.42
10.34
10.34
10.42
10.42
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.49
10.49
10.55
10.55
10.55
10.55
10.55
10.55
10.49
10.55
10.55
10.55
10.55
10.55
10.55
10.49
10.49
10.55
10.55
10.55
10.49
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.55
10.49
10.49
10.49
10.55
10.55
10.55
10.49
10.55
10.55
10.55
10.63
10.63
10.63
10.63
10.63
10.57
10.63
10.63
10.63
10.63
10.57
10.57
10.57
10.63
10.63
10.63
10.63
10.57
10.63
10.63
10.57
10.63
10.63
10.63
10.63
10.57
10.63
10.6
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.6
10.6
10.6
10.6
10.7
10.7
10.6
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.7
10.8
10.8
10.8
10.8
10.7
10.7
10.7
10.85
10.75
10.75
10.75
10.75
10.75
10.75
10.75
10.75
10.75
10.75
10.75
10.85
10.85
10.85
10.85
10.85
10.85
10.85
10.85
10.85
10.85
10.75
10.75
10.85
10.85
10.85
10.85
10.75
10.75
10.75
10.75
10.75

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107337&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107337&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.665911537998786
betaFALSE
gammaFALSE

\begin{tabular}{lllllllll}
\hline
Estimated Parameters of Exponential Smoothing \tabularnewline
Parameter & Value \tabularnewline
alpha & 0.665911537998786 \tabularnewline
beta & FALSE \tabularnewline
gamma & FALSE \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107337&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]0.665911537998786[/C][/ROW]
[ROW][C]beta[/C][C]FALSE[/C][/ROW]
[ROW][C]gamma[/C][C]FALSE[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107337&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.665911537998786
betaFALSE
gammaFALSE






Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
210100
310100
410100
510100
69.9410-0.0600000000000005
710.069.960045307720070.099954692279928
810.0610.02660629058640.0333937094136054
910.0610.04884354698150.0111564530185078
1010.0610.05627275776970.00372724223034204
1110.0610.05875477137580.00124522862424037
1210.0610.05958398348410.000416016515911721
1310.0610.0598610136820.000138986317967493
1410.0610.05995356627484.6433725209738e-05
1510.0610.05998448702821.55129718404368e-05
1610.0610.05999481729515.1827049034614e-06
1710.0610.05999826851811.73148191073835e-06
1810.0610.05999942153195.78468128509257e-07
1910.0610.05999980674051.93259527492273e-07
2010.0610.05999993543426.45657785014464e-08
219.9410.0599999784293-0.11999997842932
229.949.98009060823363-0.0400906082336299
239.949.95339380964547-0.013393809645466
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259.949.94149495140888-0.00149495140888334
269.949.94049944601696-0.000499446016959837
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3010.069.975622119434840.0843778805651603
3110.0610.03181032365510.0281896763449367
3210.0610.05058215438560.00941784561439185
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3410.2810.13885821077570.141141789224346
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7110.2810.27878631601770.00121368398230715
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8110.1810.1800154989794-1.54989793550442e-05
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8310.2810.246592883720.0334071162799834
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8810.2810.2798609578820.000139042118028954
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12810.4210.4171280906430.00287190935700643
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13610.4210.41992547864347.45213566251124e-05
13710.4210.41997510327462.4896725420831e-05
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13910.4210.41999722114952.77885050792293e-06
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17610.4210.41999157798338.42201670891995e-06
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18910.4210.41967945192630.000320548073720062
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19510.4210.41999955428014.45719910757703e-07
19610.4210.41999985109011.48909879982284e-07
19710.4210.41999995025094.97490724171712e-08
19810.3410.4199999833794-0.079999983379409
19910.3410.3667270714073-0.0267270714073486
20010.4210.34892920618030.0710707938197217
20110.4210.39625606779960.0237439322004356
20210.5510.41206742620930.137932573790705
20310.5510.50391831856240.0460816814376059
20410.5510.53460464192210.0153953580779191
20510.5510.54485658849780.00514341150221043
20610.5510.54828164556180.00171835443821244
20710.5510.54942591760860.000574082391436193
20810.5510.54980820569680.000191794303216142
20910.5510.54993592373626.40762637829084e-05
21010.5510.54997859285962.14071404176508e-05
21110.5510.54999284812147.15187861821676e-06
21210.4910.5499976106399-0.0599976106398721
21310.4910.5100445094624-0.0200445094624229
21410.5510.49669663933790.0533033606621309
21510.5510.53219196221690.0178080377831069
21610.5510.54405054004580.00594945995421803
21710.5510.54801235407420.00198764592584233
21810.5510.54933595042960.000664049570367808
21910.5510.54977814870030.00022185129965635
22010.4910.5499258820405-0.0599258820405062
22110.5510.5100205457650.0399794542350218
22210.5510.5366433256230.013356674377027
22310.5510.54553768919990.00446231080007209
22410.5510.54850919344780.00149080655216771
22510.5510.54950193873180.000498061268155325
22610.5510.54983360347690.000166396523059831
22710.4910.5499444088415-0.0599444088415293
22810.4910.5100267353554-0.0200267353554384
22910.5510.49669070121380.0533092987861963
23010.5510.53218997835820.0178100216418429
23110.5510.54404987726150.00595012273853079
23210.4910.5480121326456-0.0580121326455671
23310.5510.5093811841730.0406188158270329
23410.5510.5364297222920.0135702777079647
23510.5510.54546632679160.0045336732083836
23610.5510.54848535209060.00151464790940459
23710.5510.54949397360950.00050602639052677
23810.5510.54983094242150.000169057578542464
23910.5510.54994351981365.6480186405139e-05
24010.5510.54998113062141.88693786089544e-05
24110.5510.54999369595836.30404167800691e-06
24210.4910.5499978938924-0.0599978938924117
24310.4910.5100446040938-0.0200446040938278
24410.4910.4966966709531-0.00669667095312931
24510.5510.49223728049930.057762719500742
24610.5510.5307021418810.0192978581190104
24710.5510.54355280826110.00644719173889818
24810.4910.5478460676277-0.0578460676277253
24910.5510.50932570376660.0406742962334352
25010.5510.53641118692840.0135888130716104
25110.5510.54546013434050.00453986565951681
25210.6310.54848328326410.0815167167358801
25310.6310.60276620547830.0272337945216794
25410.6310.62090150347380.00909849652620487
25510.6310.6269602972890.00303970271096254
25610.6310.62898447039640.00101552960364693
25710.5710.6296607232766-0.0596607232766022
25810.6310.58993195928140.0400680407186407
25910.6310.61661372990090.0133862700990921
26010.6310.62552780161070.00447219838933854
26110.6310.62850589011830.00149410988165855
26210.5710.6295008351276-0.0595008351275759
26310.5710.5898785424956-0.0198785424955599
26410.5710.5766411916892-0.00664119168916777
26510.6310.57221874551730.0577812544827108
26610.6310.61069594955740.0193040504426296
26710.6310.62355073947720.00644926052277128
26810.6310.62784537647090.00215462352909768
26910.5710.629280165139-0.059280165138972
27010.6310.58980481919850.0401951808015433
27110.6310.61657125386620.0134287461338491
27210.5710.6255136108575-0.0555136108575383
27310.6310.58854645687150.0414535431284708
27410.6310.61615084953170.0138491504682925
27510.6310.625373158620.00462684137997549
27610.6310.62845422567940.0015457743205598
27710.5710.6294835746346-0.059483574634644
27810.6310.5898727759640.0401272240359773
27910.610.6165939574374-0.0165939574374434
28010.710.60554384971880.0944561502812107
28110.710.6684432900260.0315567099740051
28210.710.6894572672990.0105427327010332
28310.710.69647779464660.00352220535337722
28410.710.69882327183060.00117672816936221
28510.710.69960686869570.00039313130429619
28610.710.69986865936720.000131340632817611
28710.710.699956120614.3879390016599e-05
28810.710.69998534040211.46595979249042e-05
28910.710.69999510239754.89760252442295e-06
29010.610.6999983637675-0.0999983637675044
29110.610.6334082995537-0.0334082995537237
29210.610.611161327416-0.0111613274159801
29310.610.6037288707103-0.00372887071029737
29410.710.60124577268060.0987542273193949
29510.710.66700735207870.0329926479212546
29610.610.6889775369986-0.088977536998641
29710.710.62972636848850.0702736315114674
29810.710.67652239052910.0234776094709055
29910.710.69215640156040.00784359843959948
30010.710.69737954426080.00262045573924041
30110.710.69912453597230.000875464027664918
30210.710.69970751756950.00029248243053992
30310.710.69990228499469.77150053813602e-05
30410.710.69996735454413.26454558621236e-05
30510.710.69998909352991.09064701394601e-05
30610.710.69999635627423.6437258348343e-06
30710.710.69999878267321.2173267602833e-06
30810.710.69999959330524.06694825372256e-07
30910.710.6999998641281.35872047835051e-07
31010.710.69999995460674.53932837984894e-08
31110.810.69999998483460.100000015165374
31210.810.76659114873330.0334088512666977
31310.810.78883848826310.011161511736919
31410.810.79627106771020.00372893228979621
31510.710.7987542067464-0.0987542067463973
31610.710.7329926410481-0.0329926410480539
31710.710.7110224607051-0.011022460705103
31810.8510.70368247694440.146317523055563
31910.7510.8011170037585-0.0511170037585398
32010.7510.7670776011678-0.0170776011678004
32110.7510.7557054295088-0.00570542950882036
32210.7510.7519061181697-0.00190611816965891
32310.7510.7506368120877-0.000636812087693173
32410.7510.750212751571-0.000212751570961345
32510.7510.7500710778451-7.10778451313843e-05
32610.7510.750023746288-2.37462879617567e-05
32710.7510.7500079333608-7.9333608233867e-06
32810.7510.7500026504443-2.65044431557726e-06
32910.7510.7500008854829-8.85482865697895e-07
33010.8510.75000029582960.0999997041703917
33110.8510.81659125263310.0334087473668632
33210.8510.83883852297480.0111614770251816
33310.8510.8462710793070.00372892069300512
33410.8510.84875421062070.00124578937925079
33510.8510.84958379614230.000416203857691144
33610.8510.84986095109330.000139048906694583
33710.8510.84995354536464.64546353811102e-05
33810.8510.84998448004231.55199576870046e-05
33910.8510.84999481496125.18503879476384e-06
34010.7510.8499982677384-0.0999982677383624
34110.7510.7834082674715-0.0334082674714953
34210.8510.76116131669770.0888386833023223
34310.8510.82032002092930.0296799790706856
34410.8510.840084261440.00991573855995398
34510.8510.84668726615490.00331273384510133
34610.7510.8488932538447-0.09889325384467
34710.7510.7830390950793-0.0330390950792623
34810.7510.7610379804609-0.0110379804609426
34910.7510.7536876619158-0.00368766191579617
35010.7510.7512320052978-0.00123200529782963

\begin{tabular}{lllllllll}
\hline
Interpolation Forecasts of Exponential Smoothing \tabularnewline
t & Observed & Fitted & Residuals \tabularnewline
2 & 10 & 10 & 0 \tabularnewline
3 & 10 & 10 & 0 \tabularnewline
4 & 10 & 10 & 0 \tabularnewline
5 & 10 & 10 & 0 \tabularnewline
6 & 9.94 & 10 & -0.0600000000000005 \tabularnewline
7 & 10.06 & 9.96004530772007 & 0.099954692279928 \tabularnewline
8 & 10.06 & 10.0266062905864 & 0.0333937094136054 \tabularnewline
9 & 10.06 & 10.0488435469815 & 0.0111564530185078 \tabularnewline
10 & 10.06 & 10.0562727577697 & 0.00372724223034204 \tabularnewline
11 & 10.06 & 10.0587547713758 & 0.00124522862424037 \tabularnewline
12 & 10.06 & 10.0595839834841 & 0.000416016515911721 \tabularnewline
13 & 10.06 & 10.059861013682 & 0.000138986317967493 \tabularnewline
14 & 10.06 & 10.0599535662748 & 4.6433725209738e-05 \tabularnewline
15 & 10.06 & 10.0599844870282 & 1.55129718404368e-05 \tabularnewline
16 & 10.06 & 10.0599948172951 & 5.1827049034614e-06 \tabularnewline
17 & 10.06 & 10.0599982685181 & 1.73148191073835e-06 \tabularnewline
18 & 10.06 & 10.0599994215319 & 5.78468128509257e-07 \tabularnewline
19 & 10.06 & 10.0599998067405 & 1.93259527492273e-07 \tabularnewline
20 & 10.06 & 10.0599999354342 & 6.45657785014464e-08 \tabularnewline
21 & 9.94 & 10.0599999784293 & -0.11999997842932 \tabularnewline
22 & 9.94 & 9.98009060823363 & -0.0400906082336299 \tabularnewline
23 & 9.94 & 9.95339380964547 & -0.013393809645466 \tabularnewline
24 & 9.94 & 9.94447471726479 & -0.00447471726478987 \tabularnewline
25 & 9.94 & 9.94149495140888 & -0.00149495140888334 \tabularnewline
26 & 9.94 & 9.94049944601696 & -0.000499446016959837 \tabularnewline
27 & 10.06 & 9.94016685915166 & 0.119833140848343 \tabularnewline
28 & 10.06 & 10.0199651302772 & 0.0400348697227972 \tabularnewline
29 & 9.94 & 10.0466248119479 & -0.106624811947892 \tabularnewline
30 & 10.06 & 9.97562211943484 & 0.0843778805651603 \tabularnewline
31 & 10.06 & 10.0318103236551 & 0.0281896763449367 \tabularnewline
32 & 10.06 & 10.0505821543856 & 0.00941784561439185 \tabularnewline
33 & 10.18 & 10.0568536064433 & 0.123146393556675 \tabularnewline
34 & 10.28 & 10.1388582107757 & 0.141141789224346 \tabularnewline
35 & 10.28 & 10.2328461567139 & 0.0471538432860612 \tabularnewline
36 & 10.18 & 10.2642464450191 & -0.0842464450191134 \tabularnewline
37 & 10.28 & 10.2081457652455 & 0.071854234754495 \tabularnewline
38 & 10.28 & 10.2559943292226 & 0.0240056707774041 \tabularnewline
39 & 10.28 & 10.2719799823707 & 0.00802001762933102 \tabularnewline
40 & 10.18 & 10.277320604645 & -0.0973206046449935 \tabularnewline
41 & 10.28 & 10.2125136911269 & 0.067486308873125 \tabularnewline
42 & 10.28 & 10.2574536028624 & 0.0225463971375603 \tabularnewline
43 & 10.18 & 10.2724675088566 & -0.0924675088566431 \tabularnewline
44 & 10.18 & 10.210892327819 & -0.0308923278190001 \tabularnewline
45 & 10.18 & 10.1903207702887 & -0.0103207702886863 \tabularnewline
46 & 10.28 & 10.1834480502724 & 0.0965519497275853 \tabularnewline
47 & 10.28 & 10.2477431076123 & 0.0322568923877071 \tabularnewline
48 & 10.18 & 10.2692233444333 & -0.0892233444332522 \tabularnewline
49 & 10.18 & 10.2098084899163 & -0.0298084899163094 \tabularnewline
50 & 10.18 & 10.1899586725507 & -0.00995867255071836 \tabularnewline
51 & 10.18 & 10.183327077596 & -0.00332707759604389 \tabularnewline
52 & 10.18 & 10.181111538237 & -0.00111153823702104 \tabularnewline
53 & 10.18 & 10.1803713521001 & -0.000371352100062339 \tabularnewline
54 & 10.28 & 10.180124064452 & 0.0998759355480292 \tabularnewline
55 & 10.28 & 10.2466326023018 & 0.0333673976981732 \tabularnewline
56 & 10.28 & 10.268852337422 & 0.0111476625779652 \tabularnewline
57 & 10.18 & 10.2762756945544 & -0.0962756945544196 \tabularnewline
58 & 10.18 & 10.2121645987218 & -0.0321645987217849 \tabularnewline
59 & 10.18 & 10.1907458213178 & -0.0107458213178475 \tabularnewline
60 & 10.28 & 10.183590054917 & 0.0964099450829803 \tabularnewline
61 & 10.18 & 10.2477905497256 & -0.067790549725606 \tabularnewline
62 & 10.18 & 10.202648040496 & -0.0226480404960441 \tabularnewline
63 & 10.28 & 10.1875664490167 & 0.0924335509833352 \tabularnewline
64 & 10.18 & 10.2491190171147 & -0.0691190171146658 \tabularnewline
65 & 10.18 & 10.2030918661229 & -0.0230918661228738 \tabularnewline
66 & 10.18 & 10.1877147260377 & -0.00771472603772949 \tabularnewline
67 & 10.28 & 10.1825774009567 & 0.097422599043293 \tabularnewline
68 & 10.28 & 10.2474522337215 & 0.032547766278535 \tabularnewline
69 & 10.28 & 10.2691261668224 & 0.0108738331775715 \tabularnewline
70 & 10.28 & 10.2763671777976 & 0.00363282220235206 \tabularnewline
71 & 10.28 & 10.2787863160177 & 0.00121368398230715 \tabularnewline
72 & 10.28 & 10.279594522185 & 0.000405477815004218 \tabularnewline
73 & 10.18 & 10.2798645345404 & -0.0998645345404086 \tabularnewline
74 & 10.18 & 10.2133635887531 & -0.0333635887530725 \tabularnewline
75 & 10.18 & 10.1911463900534 & -0.011146390053355 \tabularnewline
76 & 10.18 & 10.1837238803098 & -0.00372388030979032 \tabularnewline
77 & 10.18 & 10.1812441054454 & -0.0012441054453749 \tabularnewline
78 & 10.18 & 10.1804156412748 & -0.000415641274813083 \tabularnewline
79 & 10.18 & 10.1801388609542 & -0.000138860954246312 \tabularnewline
80 & 10.18 & 10.1800463918426 & -4.63918426358845e-05 \tabularnewline
81 & 10.18 & 10.1800154989794 & -1.54989793550442e-05 \tabularnewline
82 & 10.28 & 10.1800051780302 & 0.0999948219698243 \tabularnewline
83 & 10.28 & 10.24659288372 & 0.0334071162799834 \tabularnewline
84 & 10.28 & 10.2688390679021 & 0.0111609320978747 \tabularnewline
85 & 10.28 & 10.2762712613609 & 0.00372873863907941 \tabularnewline
86 & 10.28 & 10.2787542714429 & 0.00124572855713367 \tabularnewline
87 & 10.28 & 10.2795838164623 & 0.000416183537723214 \tabularnewline
88 & 10.28 & 10.279860957882 & 0.000139042118028954 \tabularnewline
89 & 10.28 & 10.2799535476326 & 4.64523673660011e-05 \tabularnewline
90 & 10.18 & 10.2799844808 & -0.09998448080003 \tabularnewline
91 & 10.28 & 10.2134036614145 & 0.0665963385855282 \tabularnewline
92 & 10.28 & 10.257750931667 & 0.0222490683329504 \tabularnewline
93 & 10.28 & 10.2725668429797 & 0.00743315702031566 \tabularnewline
94 & 10.28 & 10.2775166680033 & 0.00248333199673034 \tabularnewline
95 & 10.18 & 10.2791703474326 & -0.0991703474325742 \tabularnewline
96 & 10.28 & 10.2131316688499 & 0.0668683311501255 \tabularnewline
97 & 10.28 & 10.2576600620895 & 0.0223399379105338 \tabularnewline
98 & 10.28 & 10.2725364845023 & 0.00746351549773294 \tabularnewline
99 & 10.18 & 10.2775065255862 & -0.0975065255862404 \tabularnewline
100 & 10.18 & 10.2125758051682 & -0.0325758051681895 \tabularnewline
101 & 10.28 & 10.1908832006471 & 0.089116799352908 \tabularnewline
102 & 10.28 & 10.2502271055657 & 0.0297728944342843 \tabularnewline
103 & 10.28 & 10.2700532194891 & 0.00994678051087483 \tabularnewline
104 & 10.28 & 10.2766768953973 & 0.00332310460274243 \tabularnewline
105 & 10.28 & 10.2788897890942 & 0.0011102109058001 \tabularnewline
106 & 10.28 & 10.279629091346 & 0.000370908654016233 \tabularnewline
107 & 10.28 & 10.2798760836982 & 0.000123916301763671 \tabularnewline
108 & 10.18 & 10.2799586009933 & -0.099958600993327 \tabularnewline
109 & 10.28 & 10.2133950152697 & 0.0666049847303452 \tabularnewline
110 & 10.28 & 10.2577480430898 & 0.0222519569101749 \tabularnewline
111 & 10.28 & 10.2725658779394 & 0.00743412206063709 \tabularnewline
112 & 10.42 & 10.2775163455944 & 0.142483654405568 \tabularnewline
113 & 10.42 & 10.3723978550393 & 0.0476021449606687 \tabularnewline
114 & 10.42 & 10.4040966726021 & 0.0159033273978686 \tabularnewline
115 & 10.42 & 10.4146868818089 & 0.00531311819105618 \tabularnewline
116 & 10.42 & 10.4182249485151 & 0.00177505148488066 \tabularnewline
117 & 10.42 & 10.4194069757794 & 0.000593024220556515 \tabularnewline
118 & 10.42 & 10.4198018774502 & 0.000198122549775803 \tabularnewline
119 & 10.42 & 10.4199338095421 & 6.61904579430939e-05 \tabularnewline
120 & 10.42 & 10.4199778865317 & 2.21134682938384e-05 \tabularnewline
121 & 10.42 & 10.4199926121454 & 7.38785461251723e-06 \tabularnewline
122 & 10.34 & 10.419997531803 & -0.0799975318030146 \tabularnewline
123 & 10.34 & 10.366726252364 & -0.0267262523639626 \tabularnewline
124 & 10.34 & 10.3489289325473 & -0.00892893254733274 \tabularnewline
125 & 10.42 & 10.3429830533421 & 0.0770169466579489 \tabularnewline
126 & 10.42 & 10.394269526743 & 0.0257304732569832 \tabularnewline
127 & 10.42 & 10.411403745763 & 0.00859625423698951 \tabularnewline
128 & 10.42 & 10.417128090643 & 0.00287190935700643 \tabularnewline
129 & 10.34 & 10.4190405282199 & -0.0790405282199114 \tabularnewline
130 & 10.42 & 10.3664065285088 & 0.0535934714912472 \tabularnewline
131 & 10.42 & 10.4020950395362 & 0.0179049604638166 \tabularnewline
132 & 10.42 & 10.4140181592965 & 0.00598184070354968 \tabularnewline
133 & 10.42 & 10.4180015360394 & 0.00199846396058589 \tabularnewline
134 & 10.42 & 10.419332336249 & 0.000667663750956393 \tabularnewline
135 & 10.42 & 10.4197769412443 & 0.000223058755690175 \tabularnewline
136 & 10.42 & 10.4199254786434 & 7.45213566251124e-05 \tabularnewline
137 & 10.42 & 10.4199751032746 & 2.4896725420831e-05 \tabularnewline
138 & 10.42 & 10.4199916822913 & 8.317708704908e-06 \tabularnewline
139 & 10.42 & 10.4199972211495 & 2.77885050792293e-06 \tabularnewline
140 & 10.42 & 10.4199990716181 & 9.28381892251195e-07 \tabularnewline
141 & 10.42 & 10.4199996898383 & 3.10161677674614e-07 \tabularnewline
142 & 10.42 & 10.4199998963786 & 1.03621438540813e-07 \tabularnewline
143 & 10.42 & 10.4199999653813 & 3.4618727440261e-08 \tabularnewline
144 & 10.42 & 10.4199999884343 & 1.15657172727879e-08 \tabularnewline
145 & 10.42 & 10.419999996136 & 3.86397225327073e-09 \tabularnewline
146 & 10.42 & 10.4199999987091 & 1.29090871325843e-09 \tabularnewline
147 & 10.34 & 10.4199999995687 & -0.079999999568722 \tabularnewline
148 & 10.34 & 10.366727076816 & -0.0267270768160124 \tabularnewline
149 & 10.34 & 10.3489292079873 & -0.00892920798725072 \tabularnewline
150 & 10.34 & 10.3429831453634 & -0.0029831453633502 \tabularnewline
151 & 10.42 & 10.3409966344464 & 0.079003365553632 \tabularnewline
152 & 10.42 & 10.3936058871093 & 0.026394112890733 \tabularnewline
153 & 10.34 & 10.4111820314184 & -0.0711820314184486 \tabularnewline
154 & 10.34 & 10.3637810953987 & -0.0237810953987108 \tabularnewline
155 & 10.34 & 10.3479449895865 & -0.00794498958645917 \tabularnewline
156 & 10.42 & 10.3426543293516 & 0.0773456706484446 \tabularnewline
157 & 10.42 & 10.3941597038506 & 0.0258402961493918 \tabularnewline
158 & 10.42 & 10.4113670552018 & 0.00863294479820631 \tabularnewline
159 & 10.34 & 10.4171158327498 & -0.0771158327498256 \tabularnewline
160 & 10.34 & 10.3657635099593 & -0.025763509959333 \tabularnewline
161 & 10.34 & 10.3486072914181 & -0.00860729141806615 \tabularnewline
162 & 10.34 & 10.3428755967519 & -0.00287559675185811 \tabularnewline
163 & 10.34 & 10.3409607036962 & -0.000960703696163634 \tabularnewline
164 & 10.42 & 10.3403209600203 & 0.0796790399797107 \tabularnewline
165 & 10.42 & 10.3933801520794 & 0.0266198479205553 \tabularnewline
166 & 10.42 & 10.4111066159495 & 0.00889338405048434 \tabularnewline
167 & 10.34 & 10.4170288230006 & -0.0770288230005871 \tabularnewline
168 & 10.42 & 10.365734441006 & 0.0542655589939702 \tabularnewline
169 & 10.42 & 10.4018705028561 & 0.0181294971439314 \tabularnewline
170 & 10.42 & 10.4139431441823 & 0.0060568558176719 \tabularnewline
171 & 10.42 & 10.4179764743553 & 0.00202352564468988 \tabularnewline
172 & 10.42 & 10.4193239634295 & 0.000676036570453675 \tabularnewline
173 & 10.42 & 10.4197741439819 & 0.000225856018079895 \tabularnewline
174 & 10.42 & 10.4199245441103 & 7.54558897142488e-05 \tabularnewline
175 & 10.42 & 10.4199747910579 & 2.52089421444168e-05 \tabularnewline
176 & 10.42 & 10.4199915779833 & 8.42201670891995e-06 \tabularnewline
177 & 10.42 & 10.4199971863014 & 2.81369860921643e-06 \tabularnewline
178 & 10.42 & 10.4199990599758 & 9.40024241558035e-07 \tabularnewline
179 & 10.42 & 10.4199996859487 & 3.14051252559011e-07 \tabularnewline
180 & 10.42 & 10.4199998950791 & 1.04920900412253e-07 \tabularnewline
181 & 10.34 & 10.4199999649471 & -0.0799999649471381 \tabularnewline
182 & 10.34 & 10.3667270652493 & -0.0267270652493412 \tabularnewline
183 & 10.34 & 10.348929204123 & -0.00892920412295872 \tabularnewline
184 & 10.42 & 10.3429831440723 & 0.0770168559276652 \tabularnewline
185 & 10.42 & 10.394269557055 & 0.0257304429450436 \tabularnewline
186 & 10.42 & 10.4114037558899 & 0.0085962441101195 \tabularnewline
187 & 10.42 & 10.4171280940263 & 0.00287190597373765 \tabularnewline
188 & 10.42 & 10.4190405293502 & 0.000959470649778638 \tabularnewline
189 & 10.42 & 10.4196794519263 & 0.000320548073720062 \tabularnewline
190 & 10.42 & 10.4198929085871 & 0.000107091412946403 \tabularnewline
191 & 10.42 & 10.4199642219946 & 3.57780054454082e-05 \tabularnewline
192 & 10.42 & 10.4199880469812 & 1.19530188129602e-05 \tabularnewline
193 & 10.42 & 10.4199960066343 & 3.9933656719171e-06 \tabularnewline
194 & 10.42 & 10.4199986658626 & 1.33413739611399e-06 \tabularnewline
195 & 10.42 & 10.4199995542801 & 4.45719910757703e-07 \tabularnewline
196 & 10.42 & 10.4199998510901 & 1.48909879982284e-07 \tabularnewline
197 & 10.42 & 10.4199999502509 & 4.97490724171712e-08 \tabularnewline
198 & 10.34 & 10.4199999833794 & -0.079999983379409 \tabularnewline
199 & 10.34 & 10.3667270714073 & -0.0267270714073486 \tabularnewline
200 & 10.42 & 10.3489292061803 & 0.0710707938197217 \tabularnewline
201 & 10.42 & 10.3962560677996 & 0.0237439322004356 \tabularnewline
202 & 10.55 & 10.4120674262093 & 0.137932573790705 \tabularnewline
203 & 10.55 & 10.5039183185624 & 0.0460816814376059 \tabularnewline
204 & 10.55 & 10.5346046419221 & 0.0153953580779191 \tabularnewline
205 & 10.55 & 10.5448565884978 & 0.00514341150221043 \tabularnewline
206 & 10.55 & 10.5482816455618 & 0.00171835443821244 \tabularnewline
207 & 10.55 & 10.5494259176086 & 0.000574082391436193 \tabularnewline
208 & 10.55 & 10.5498082056968 & 0.000191794303216142 \tabularnewline
209 & 10.55 & 10.5499359237362 & 6.40762637829084e-05 \tabularnewline
210 & 10.55 & 10.5499785928596 & 2.14071404176508e-05 \tabularnewline
211 & 10.55 & 10.5499928481214 & 7.15187861821676e-06 \tabularnewline
212 & 10.49 & 10.5499976106399 & -0.0599976106398721 \tabularnewline
213 & 10.49 & 10.5100445094624 & -0.0200445094624229 \tabularnewline
214 & 10.55 & 10.4966966393379 & 0.0533033606621309 \tabularnewline
215 & 10.55 & 10.5321919622169 & 0.0178080377831069 \tabularnewline
216 & 10.55 & 10.5440505400458 & 0.00594945995421803 \tabularnewline
217 & 10.55 & 10.5480123540742 & 0.00198764592584233 \tabularnewline
218 & 10.55 & 10.5493359504296 & 0.000664049570367808 \tabularnewline
219 & 10.55 & 10.5497781487003 & 0.00022185129965635 \tabularnewline
220 & 10.49 & 10.5499258820405 & -0.0599258820405062 \tabularnewline
221 & 10.55 & 10.510020545765 & 0.0399794542350218 \tabularnewline
222 & 10.55 & 10.536643325623 & 0.013356674377027 \tabularnewline
223 & 10.55 & 10.5455376891999 & 0.00446231080007209 \tabularnewline
224 & 10.55 & 10.5485091934478 & 0.00149080655216771 \tabularnewline
225 & 10.55 & 10.5495019387318 & 0.000498061268155325 \tabularnewline
226 & 10.55 & 10.5498336034769 & 0.000166396523059831 \tabularnewline
227 & 10.49 & 10.5499444088415 & -0.0599444088415293 \tabularnewline
228 & 10.49 & 10.5100267353554 & -0.0200267353554384 \tabularnewline
229 & 10.55 & 10.4966907012138 & 0.0533092987861963 \tabularnewline
230 & 10.55 & 10.5321899783582 & 0.0178100216418429 \tabularnewline
231 & 10.55 & 10.5440498772615 & 0.00595012273853079 \tabularnewline
232 & 10.49 & 10.5480121326456 & -0.0580121326455671 \tabularnewline
233 & 10.55 & 10.509381184173 & 0.0406188158270329 \tabularnewline
234 & 10.55 & 10.536429722292 & 0.0135702777079647 \tabularnewline
235 & 10.55 & 10.5454663267916 & 0.0045336732083836 \tabularnewline
236 & 10.55 & 10.5484853520906 & 0.00151464790940459 \tabularnewline
237 & 10.55 & 10.5494939736095 & 0.00050602639052677 \tabularnewline
238 & 10.55 & 10.5498309424215 & 0.000169057578542464 \tabularnewline
239 & 10.55 & 10.5499435198136 & 5.6480186405139e-05 \tabularnewline
240 & 10.55 & 10.5499811306214 & 1.88693786089544e-05 \tabularnewline
241 & 10.55 & 10.5499936959583 & 6.30404167800691e-06 \tabularnewline
242 & 10.49 & 10.5499978938924 & -0.0599978938924117 \tabularnewline
243 & 10.49 & 10.5100446040938 & -0.0200446040938278 \tabularnewline
244 & 10.49 & 10.4966966709531 & -0.00669667095312931 \tabularnewline
245 & 10.55 & 10.4922372804993 & 0.057762719500742 \tabularnewline
246 & 10.55 & 10.530702141881 & 0.0192978581190104 \tabularnewline
247 & 10.55 & 10.5435528082611 & 0.00644719173889818 \tabularnewline
248 & 10.49 & 10.5478460676277 & -0.0578460676277253 \tabularnewline
249 & 10.55 & 10.5093257037666 & 0.0406742962334352 \tabularnewline
250 & 10.55 & 10.5364111869284 & 0.0135888130716104 \tabularnewline
251 & 10.55 & 10.5454601343405 & 0.00453986565951681 \tabularnewline
252 & 10.63 & 10.5484832832641 & 0.0815167167358801 \tabularnewline
253 & 10.63 & 10.6027662054783 & 0.0272337945216794 \tabularnewline
254 & 10.63 & 10.6209015034738 & 0.00909849652620487 \tabularnewline
255 & 10.63 & 10.626960297289 & 0.00303970271096254 \tabularnewline
256 & 10.63 & 10.6289844703964 & 0.00101552960364693 \tabularnewline
257 & 10.57 & 10.6296607232766 & -0.0596607232766022 \tabularnewline
258 & 10.63 & 10.5899319592814 & 0.0400680407186407 \tabularnewline
259 & 10.63 & 10.6166137299009 & 0.0133862700990921 \tabularnewline
260 & 10.63 & 10.6255278016107 & 0.00447219838933854 \tabularnewline
261 & 10.63 & 10.6285058901183 & 0.00149410988165855 \tabularnewline
262 & 10.57 & 10.6295008351276 & -0.0595008351275759 \tabularnewline
263 & 10.57 & 10.5898785424956 & -0.0198785424955599 \tabularnewline
264 & 10.57 & 10.5766411916892 & -0.00664119168916777 \tabularnewline
265 & 10.63 & 10.5722187455173 & 0.0577812544827108 \tabularnewline
266 & 10.63 & 10.6106959495574 & 0.0193040504426296 \tabularnewline
267 & 10.63 & 10.6235507394772 & 0.00644926052277128 \tabularnewline
268 & 10.63 & 10.6278453764709 & 0.00215462352909768 \tabularnewline
269 & 10.57 & 10.629280165139 & -0.059280165138972 \tabularnewline
270 & 10.63 & 10.5898048191985 & 0.0401951808015433 \tabularnewline
271 & 10.63 & 10.6165712538662 & 0.0134287461338491 \tabularnewline
272 & 10.57 & 10.6255136108575 & -0.0555136108575383 \tabularnewline
273 & 10.63 & 10.5885464568715 & 0.0414535431284708 \tabularnewline
274 & 10.63 & 10.6161508495317 & 0.0138491504682925 \tabularnewline
275 & 10.63 & 10.62537315862 & 0.00462684137997549 \tabularnewline
276 & 10.63 & 10.6284542256794 & 0.0015457743205598 \tabularnewline
277 & 10.57 & 10.6294835746346 & -0.059483574634644 \tabularnewline
278 & 10.63 & 10.589872775964 & 0.0401272240359773 \tabularnewline
279 & 10.6 & 10.6165939574374 & -0.0165939574374434 \tabularnewline
280 & 10.7 & 10.6055438497188 & 0.0944561502812107 \tabularnewline
281 & 10.7 & 10.668443290026 & 0.0315567099740051 \tabularnewline
282 & 10.7 & 10.689457267299 & 0.0105427327010332 \tabularnewline
283 & 10.7 & 10.6964777946466 & 0.00352220535337722 \tabularnewline
284 & 10.7 & 10.6988232718306 & 0.00117672816936221 \tabularnewline
285 & 10.7 & 10.6996068686957 & 0.00039313130429619 \tabularnewline
286 & 10.7 & 10.6998686593672 & 0.000131340632817611 \tabularnewline
287 & 10.7 & 10.69995612061 & 4.3879390016599e-05 \tabularnewline
288 & 10.7 & 10.6999853404021 & 1.46595979249042e-05 \tabularnewline
289 & 10.7 & 10.6999951023975 & 4.89760252442295e-06 \tabularnewline
290 & 10.6 & 10.6999983637675 & -0.0999983637675044 \tabularnewline
291 & 10.6 & 10.6334082995537 & -0.0334082995537237 \tabularnewline
292 & 10.6 & 10.611161327416 & -0.0111613274159801 \tabularnewline
293 & 10.6 & 10.6037288707103 & -0.00372887071029737 \tabularnewline
294 & 10.7 & 10.6012457726806 & 0.0987542273193949 \tabularnewline
295 & 10.7 & 10.6670073520787 & 0.0329926479212546 \tabularnewline
296 & 10.6 & 10.6889775369986 & -0.088977536998641 \tabularnewline
297 & 10.7 & 10.6297263684885 & 0.0702736315114674 \tabularnewline
298 & 10.7 & 10.6765223905291 & 0.0234776094709055 \tabularnewline
299 & 10.7 & 10.6921564015604 & 0.00784359843959948 \tabularnewline
300 & 10.7 & 10.6973795442608 & 0.00262045573924041 \tabularnewline
301 & 10.7 & 10.6991245359723 & 0.000875464027664918 \tabularnewline
302 & 10.7 & 10.6997075175695 & 0.00029248243053992 \tabularnewline
303 & 10.7 & 10.6999022849946 & 9.77150053813602e-05 \tabularnewline
304 & 10.7 & 10.6999673545441 & 3.26454558621236e-05 \tabularnewline
305 & 10.7 & 10.6999890935299 & 1.09064701394601e-05 \tabularnewline
306 & 10.7 & 10.6999963562742 & 3.6437258348343e-06 \tabularnewline
307 & 10.7 & 10.6999987826732 & 1.2173267602833e-06 \tabularnewline
308 & 10.7 & 10.6999995933052 & 4.06694825372256e-07 \tabularnewline
309 & 10.7 & 10.699999864128 & 1.35872047835051e-07 \tabularnewline
310 & 10.7 & 10.6999999546067 & 4.53932837984894e-08 \tabularnewline
311 & 10.8 & 10.6999999848346 & 0.100000015165374 \tabularnewline
312 & 10.8 & 10.7665911487333 & 0.0334088512666977 \tabularnewline
313 & 10.8 & 10.7888384882631 & 0.011161511736919 \tabularnewline
314 & 10.8 & 10.7962710677102 & 0.00372893228979621 \tabularnewline
315 & 10.7 & 10.7987542067464 & -0.0987542067463973 \tabularnewline
316 & 10.7 & 10.7329926410481 & -0.0329926410480539 \tabularnewline
317 & 10.7 & 10.7110224607051 & -0.011022460705103 \tabularnewline
318 & 10.85 & 10.7036824769444 & 0.146317523055563 \tabularnewline
319 & 10.75 & 10.8011170037585 & -0.0511170037585398 \tabularnewline
320 & 10.75 & 10.7670776011678 & -0.0170776011678004 \tabularnewline
321 & 10.75 & 10.7557054295088 & -0.00570542950882036 \tabularnewline
322 & 10.75 & 10.7519061181697 & -0.00190611816965891 \tabularnewline
323 & 10.75 & 10.7506368120877 & -0.000636812087693173 \tabularnewline
324 & 10.75 & 10.750212751571 & -0.000212751570961345 \tabularnewline
325 & 10.75 & 10.7500710778451 & -7.10778451313843e-05 \tabularnewline
326 & 10.75 & 10.750023746288 & -2.37462879617567e-05 \tabularnewline
327 & 10.75 & 10.7500079333608 & -7.9333608233867e-06 \tabularnewline
328 & 10.75 & 10.7500026504443 & -2.65044431557726e-06 \tabularnewline
329 & 10.75 & 10.7500008854829 & -8.85482865697895e-07 \tabularnewline
330 & 10.85 & 10.7500002958296 & 0.0999997041703917 \tabularnewline
331 & 10.85 & 10.8165912526331 & 0.0334087473668632 \tabularnewline
332 & 10.85 & 10.8388385229748 & 0.0111614770251816 \tabularnewline
333 & 10.85 & 10.846271079307 & 0.00372892069300512 \tabularnewline
334 & 10.85 & 10.8487542106207 & 0.00124578937925079 \tabularnewline
335 & 10.85 & 10.8495837961423 & 0.000416203857691144 \tabularnewline
336 & 10.85 & 10.8498609510933 & 0.000139048906694583 \tabularnewline
337 & 10.85 & 10.8499535453646 & 4.64546353811102e-05 \tabularnewline
338 & 10.85 & 10.8499844800423 & 1.55199576870046e-05 \tabularnewline
339 & 10.85 & 10.8499948149612 & 5.18503879476384e-06 \tabularnewline
340 & 10.75 & 10.8499982677384 & -0.0999982677383624 \tabularnewline
341 & 10.75 & 10.7834082674715 & -0.0334082674714953 \tabularnewline
342 & 10.85 & 10.7611613166977 & 0.0888386833023223 \tabularnewline
343 & 10.85 & 10.8203200209293 & 0.0296799790706856 \tabularnewline
344 & 10.85 & 10.84008426144 & 0.00991573855995398 \tabularnewline
345 & 10.85 & 10.8466872661549 & 0.00331273384510133 \tabularnewline
346 & 10.75 & 10.8488932538447 & -0.09889325384467 \tabularnewline
347 & 10.75 & 10.7830390950793 & -0.0330390950792623 \tabularnewline
348 & 10.75 & 10.7610379804609 & -0.0110379804609426 \tabularnewline
349 & 10.75 & 10.7536876619158 & -0.00368766191579617 \tabularnewline
350 & 10.75 & 10.7512320052978 & -0.00123200529782963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107337&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]2[/C][C]10[/C][C]10[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]10[/C][C]10[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]10[/C][C]10[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]10[/C][C]10[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]9.94[/C][C]10[/C][C]-0.0600000000000005[/C][/ROW]
[ROW][C]7[/C][C]10.06[/C][C]9.96004530772007[/C][C]0.099954692279928[/C][/ROW]
[ROW][C]8[/C][C]10.06[/C][C]10.0266062905864[/C][C]0.0333937094136054[/C][/ROW]
[ROW][C]9[/C][C]10.06[/C][C]10.0488435469815[/C][C]0.0111564530185078[/C][/ROW]
[ROW][C]10[/C][C]10.06[/C][C]10.0562727577697[/C][C]0.00372724223034204[/C][/ROW]
[ROW][C]11[/C][C]10.06[/C][C]10.0587547713758[/C][C]0.00124522862424037[/C][/ROW]
[ROW][C]12[/C][C]10.06[/C][C]10.0595839834841[/C][C]0.000416016515911721[/C][/ROW]
[ROW][C]13[/C][C]10.06[/C][C]10.059861013682[/C][C]0.000138986317967493[/C][/ROW]
[ROW][C]14[/C][C]10.06[/C][C]10.0599535662748[/C][C]4.6433725209738e-05[/C][/ROW]
[ROW][C]15[/C][C]10.06[/C][C]10.0599844870282[/C][C]1.55129718404368e-05[/C][/ROW]
[ROW][C]16[/C][C]10.06[/C][C]10.0599948172951[/C][C]5.1827049034614e-06[/C][/ROW]
[ROW][C]17[/C][C]10.06[/C][C]10.0599982685181[/C][C]1.73148191073835e-06[/C][/ROW]
[ROW][C]18[/C][C]10.06[/C][C]10.0599994215319[/C][C]5.78468128509257e-07[/C][/ROW]
[ROW][C]19[/C][C]10.06[/C][C]10.0599998067405[/C][C]1.93259527492273e-07[/C][/ROW]
[ROW][C]20[/C][C]10.06[/C][C]10.0599999354342[/C][C]6.45657785014464e-08[/C][/ROW]
[ROW][C]21[/C][C]9.94[/C][C]10.0599999784293[/C][C]-0.11999997842932[/C][/ROW]
[ROW][C]22[/C][C]9.94[/C][C]9.98009060823363[/C][C]-0.0400906082336299[/C][/ROW]
[ROW][C]23[/C][C]9.94[/C][C]9.95339380964547[/C][C]-0.013393809645466[/C][/ROW]
[ROW][C]24[/C][C]9.94[/C][C]9.94447471726479[/C][C]-0.00447471726478987[/C][/ROW]
[ROW][C]25[/C][C]9.94[/C][C]9.94149495140888[/C][C]-0.00149495140888334[/C][/ROW]
[ROW][C]26[/C][C]9.94[/C][C]9.94049944601696[/C][C]-0.000499446016959837[/C][/ROW]
[ROW][C]27[/C][C]10.06[/C][C]9.94016685915166[/C][C]0.119833140848343[/C][/ROW]
[ROW][C]28[/C][C]10.06[/C][C]10.0199651302772[/C][C]0.0400348697227972[/C][/ROW]
[ROW][C]29[/C][C]9.94[/C][C]10.0466248119479[/C][C]-0.106624811947892[/C][/ROW]
[ROW][C]30[/C][C]10.06[/C][C]9.97562211943484[/C][C]0.0843778805651603[/C][/ROW]
[ROW][C]31[/C][C]10.06[/C][C]10.0318103236551[/C][C]0.0281896763449367[/C][/ROW]
[ROW][C]32[/C][C]10.06[/C][C]10.0505821543856[/C][C]0.00941784561439185[/C][/ROW]
[ROW][C]33[/C][C]10.18[/C][C]10.0568536064433[/C][C]0.123146393556675[/C][/ROW]
[ROW][C]34[/C][C]10.28[/C][C]10.1388582107757[/C][C]0.141141789224346[/C][/ROW]
[ROW][C]35[/C][C]10.28[/C][C]10.2328461567139[/C][C]0.0471538432860612[/C][/ROW]
[ROW][C]36[/C][C]10.18[/C][C]10.2642464450191[/C][C]-0.0842464450191134[/C][/ROW]
[ROW][C]37[/C][C]10.28[/C][C]10.2081457652455[/C][C]0.071854234754495[/C][/ROW]
[ROW][C]38[/C][C]10.28[/C][C]10.2559943292226[/C][C]0.0240056707774041[/C][/ROW]
[ROW][C]39[/C][C]10.28[/C][C]10.2719799823707[/C][C]0.00802001762933102[/C][/ROW]
[ROW][C]40[/C][C]10.18[/C][C]10.277320604645[/C][C]-0.0973206046449935[/C][/ROW]
[ROW][C]41[/C][C]10.28[/C][C]10.2125136911269[/C][C]0.067486308873125[/C][/ROW]
[ROW][C]42[/C][C]10.28[/C][C]10.2574536028624[/C][C]0.0225463971375603[/C][/ROW]
[ROW][C]43[/C][C]10.18[/C][C]10.2724675088566[/C][C]-0.0924675088566431[/C][/ROW]
[ROW][C]44[/C][C]10.18[/C][C]10.210892327819[/C][C]-0.0308923278190001[/C][/ROW]
[ROW][C]45[/C][C]10.18[/C][C]10.1903207702887[/C][C]-0.0103207702886863[/C][/ROW]
[ROW][C]46[/C][C]10.28[/C][C]10.1834480502724[/C][C]0.0965519497275853[/C][/ROW]
[ROW][C]47[/C][C]10.28[/C][C]10.2477431076123[/C][C]0.0322568923877071[/C][/ROW]
[ROW][C]48[/C][C]10.18[/C][C]10.2692233444333[/C][C]-0.0892233444332522[/C][/ROW]
[ROW][C]49[/C][C]10.18[/C][C]10.2098084899163[/C][C]-0.0298084899163094[/C][/ROW]
[ROW][C]50[/C][C]10.18[/C][C]10.1899586725507[/C][C]-0.00995867255071836[/C][/ROW]
[ROW][C]51[/C][C]10.18[/C][C]10.183327077596[/C][C]-0.00332707759604389[/C][/ROW]
[ROW][C]52[/C][C]10.18[/C][C]10.181111538237[/C][C]-0.00111153823702104[/C][/ROW]
[ROW][C]53[/C][C]10.18[/C][C]10.1803713521001[/C][C]-0.000371352100062339[/C][/ROW]
[ROW][C]54[/C][C]10.28[/C][C]10.180124064452[/C][C]0.0998759355480292[/C][/ROW]
[ROW][C]55[/C][C]10.28[/C][C]10.2466326023018[/C][C]0.0333673976981732[/C][/ROW]
[ROW][C]56[/C][C]10.28[/C][C]10.268852337422[/C][C]0.0111476625779652[/C][/ROW]
[ROW][C]57[/C][C]10.18[/C][C]10.2762756945544[/C][C]-0.0962756945544196[/C][/ROW]
[ROW][C]58[/C][C]10.18[/C][C]10.2121645987218[/C][C]-0.0321645987217849[/C][/ROW]
[ROW][C]59[/C][C]10.18[/C][C]10.1907458213178[/C][C]-0.0107458213178475[/C][/ROW]
[ROW][C]60[/C][C]10.28[/C][C]10.183590054917[/C][C]0.0964099450829803[/C][/ROW]
[ROW][C]61[/C][C]10.18[/C][C]10.2477905497256[/C][C]-0.067790549725606[/C][/ROW]
[ROW][C]62[/C][C]10.18[/C][C]10.202648040496[/C][C]-0.0226480404960441[/C][/ROW]
[ROW][C]63[/C][C]10.28[/C][C]10.1875664490167[/C][C]0.0924335509833352[/C][/ROW]
[ROW][C]64[/C][C]10.18[/C][C]10.2491190171147[/C][C]-0.0691190171146658[/C][/ROW]
[ROW][C]65[/C][C]10.18[/C][C]10.2030918661229[/C][C]-0.0230918661228738[/C][/ROW]
[ROW][C]66[/C][C]10.18[/C][C]10.1877147260377[/C][C]-0.00771472603772949[/C][/ROW]
[ROW][C]67[/C][C]10.28[/C][C]10.1825774009567[/C][C]0.097422599043293[/C][/ROW]
[ROW][C]68[/C][C]10.28[/C][C]10.2474522337215[/C][C]0.032547766278535[/C][/ROW]
[ROW][C]69[/C][C]10.28[/C][C]10.2691261668224[/C][C]0.0108738331775715[/C][/ROW]
[ROW][C]70[/C][C]10.28[/C][C]10.2763671777976[/C][C]0.00363282220235206[/C][/ROW]
[ROW][C]71[/C][C]10.28[/C][C]10.2787863160177[/C][C]0.00121368398230715[/C][/ROW]
[ROW][C]72[/C][C]10.28[/C][C]10.279594522185[/C][C]0.000405477815004218[/C][/ROW]
[ROW][C]73[/C][C]10.18[/C][C]10.2798645345404[/C][C]-0.0998645345404086[/C][/ROW]
[ROW][C]74[/C][C]10.18[/C][C]10.2133635887531[/C][C]-0.0333635887530725[/C][/ROW]
[ROW][C]75[/C][C]10.18[/C][C]10.1911463900534[/C][C]-0.011146390053355[/C][/ROW]
[ROW][C]76[/C][C]10.18[/C][C]10.1837238803098[/C][C]-0.00372388030979032[/C][/ROW]
[ROW][C]77[/C][C]10.18[/C][C]10.1812441054454[/C][C]-0.0012441054453749[/C][/ROW]
[ROW][C]78[/C][C]10.18[/C][C]10.1804156412748[/C][C]-0.000415641274813083[/C][/ROW]
[ROW][C]79[/C][C]10.18[/C][C]10.1801388609542[/C][C]-0.000138860954246312[/C][/ROW]
[ROW][C]80[/C][C]10.18[/C][C]10.1800463918426[/C][C]-4.63918426358845e-05[/C][/ROW]
[ROW][C]81[/C][C]10.18[/C][C]10.1800154989794[/C][C]-1.54989793550442e-05[/C][/ROW]
[ROW][C]82[/C][C]10.28[/C][C]10.1800051780302[/C][C]0.0999948219698243[/C][/ROW]
[ROW][C]83[/C][C]10.28[/C][C]10.24659288372[/C][C]0.0334071162799834[/C][/ROW]
[ROW][C]84[/C][C]10.28[/C][C]10.2688390679021[/C][C]0.0111609320978747[/C][/ROW]
[ROW][C]85[/C][C]10.28[/C][C]10.2762712613609[/C][C]0.00372873863907941[/C][/ROW]
[ROW][C]86[/C][C]10.28[/C][C]10.2787542714429[/C][C]0.00124572855713367[/C][/ROW]
[ROW][C]87[/C][C]10.28[/C][C]10.2795838164623[/C][C]0.000416183537723214[/C][/ROW]
[ROW][C]88[/C][C]10.28[/C][C]10.279860957882[/C][C]0.000139042118028954[/C][/ROW]
[ROW][C]89[/C][C]10.28[/C][C]10.2799535476326[/C][C]4.64523673660011e-05[/C][/ROW]
[ROW][C]90[/C][C]10.18[/C][C]10.2799844808[/C][C]-0.09998448080003[/C][/ROW]
[ROW][C]91[/C][C]10.28[/C][C]10.2134036614145[/C][C]0.0665963385855282[/C][/ROW]
[ROW][C]92[/C][C]10.28[/C][C]10.257750931667[/C][C]0.0222490683329504[/C][/ROW]
[ROW][C]93[/C][C]10.28[/C][C]10.2725668429797[/C][C]0.00743315702031566[/C][/ROW]
[ROW][C]94[/C][C]10.28[/C][C]10.2775166680033[/C][C]0.00248333199673034[/C][/ROW]
[ROW][C]95[/C][C]10.18[/C][C]10.2791703474326[/C][C]-0.0991703474325742[/C][/ROW]
[ROW][C]96[/C][C]10.28[/C][C]10.2131316688499[/C][C]0.0668683311501255[/C][/ROW]
[ROW][C]97[/C][C]10.28[/C][C]10.2576600620895[/C][C]0.0223399379105338[/C][/ROW]
[ROW][C]98[/C][C]10.28[/C][C]10.2725364845023[/C][C]0.00746351549773294[/C][/ROW]
[ROW][C]99[/C][C]10.18[/C][C]10.2775065255862[/C][C]-0.0975065255862404[/C][/ROW]
[ROW][C]100[/C][C]10.18[/C][C]10.2125758051682[/C][C]-0.0325758051681895[/C][/ROW]
[ROW][C]101[/C][C]10.28[/C][C]10.1908832006471[/C][C]0.089116799352908[/C][/ROW]
[ROW][C]102[/C][C]10.28[/C][C]10.2502271055657[/C][C]0.0297728944342843[/C][/ROW]
[ROW][C]103[/C][C]10.28[/C][C]10.2700532194891[/C][C]0.00994678051087483[/C][/ROW]
[ROW][C]104[/C][C]10.28[/C][C]10.2766768953973[/C][C]0.00332310460274243[/C][/ROW]
[ROW][C]105[/C][C]10.28[/C][C]10.2788897890942[/C][C]0.0011102109058001[/C][/ROW]
[ROW][C]106[/C][C]10.28[/C][C]10.279629091346[/C][C]0.000370908654016233[/C][/ROW]
[ROW][C]107[/C][C]10.28[/C][C]10.2798760836982[/C][C]0.000123916301763671[/C][/ROW]
[ROW][C]108[/C][C]10.18[/C][C]10.2799586009933[/C][C]-0.099958600993327[/C][/ROW]
[ROW][C]109[/C][C]10.28[/C][C]10.2133950152697[/C][C]0.0666049847303452[/C][/ROW]
[ROW][C]110[/C][C]10.28[/C][C]10.2577480430898[/C][C]0.0222519569101749[/C][/ROW]
[ROW][C]111[/C][C]10.28[/C][C]10.2725658779394[/C][C]0.00743412206063709[/C][/ROW]
[ROW][C]112[/C][C]10.42[/C][C]10.2775163455944[/C][C]0.142483654405568[/C][/ROW]
[ROW][C]113[/C][C]10.42[/C][C]10.3723978550393[/C][C]0.0476021449606687[/C][/ROW]
[ROW][C]114[/C][C]10.42[/C][C]10.4040966726021[/C][C]0.0159033273978686[/C][/ROW]
[ROW][C]115[/C][C]10.42[/C][C]10.4146868818089[/C][C]0.00531311819105618[/C][/ROW]
[ROW][C]116[/C][C]10.42[/C][C]10.4182249485151[/C][C]0.00177505148488066[/C][/ROW]
[ROW][C]117[/C][C]10.42[/C][C]10.4194069757794[/C][C]0.000593024220556515[/C][/ROW]
[ROW][C]118[/C][C]10.42[/C][C]10.4198018774502[/C][C]0.000198122549775803[/C][/ROW]
[ROW][C]119[/C][C]10.42[/C][C]10.4199338095421[/C][C]6.61904579430939e-05[/C][/ROW]
[ROW][C]120[/C][C]10.42[/C][C]10.4199778865317[/C][C]2.21134682938384e-05[/C][/ROW]
[ROW][C]121[/C][C]10.42[/C][C]10.4199926121454[/C][C]7.38785461251723e-06[/C][/ROW]
[ROW][C]122[/C][C]10.34[/C][C]10.419997531803[/C][C]-0.0799975318030146[/C][/ROW]
[ROW][C]123[/C][C]10.34[/C][C]10.366726252364[/C][C]-0.0267262523639626[/C][/ROW]
[ROW][C]124[/C][C]10.34[/C][C]10.3489289325473[/C][C]-0.00892893254733274[/C][/ROW]
[ROW][C]125[/C][C]10.42[/C][C]10.3429830533421[/C][C]0.0770169466579489[/C][/ROW]
[ROW][C]126[/C][C]10.42[/C][C]10.394269526743[/C][C]0.0257304732569832[/C][/ROW]
[ROW][C]127[/C][C]10.42[/C][C]10.411403745763[/C][C]0.00859625423698951[/C][/ROW]
[ROW][C]128[/C][C]10.42[/C][C]10.417128090643[/C][C]0.00287190935700643[/C][/ROW]
[ROW][C]129[/C][C]10.34[/C][C]10.4190405282199[/C][C]-0.0790405282199114[/C][/ROW]
[ROW][C]130[/C][C]10.42[/C][C]10.3664065285088[/C][C]0.0535934714912472[/C][/ROW]
[ROW][C]131[/C][C]10.42[/C][C]10.4020950395362[/C][C]0.0179049604638166[/C][/ROW]
[ROW][C]132[/C][C]10.42[/C][C]10.4140181592965[/C][C]0.00598184070354968[/C][/ROW]
[ROW][C]133[/C][C]10.42[/C][C]10.4180015360394[/C][C]0.00199846396058589[/C][/ROW]
[ROW][C]134[/C][C]10.42[/C][C]10.419332336249[/C][C]0.000667663750956393[/C][/ROW]
[ROW][C]135[/C][C]10.42[/C][C]10.4197769412443[/C][C]0.000223058755690175[/C][/ROW]
[ROW][C]136[/C][C]10.42[/C][C]10.4199254786434[/C][C]7.45213566251124e-05[/C][/ROW]
[ROW][C]137[/C][C]10.42[/C][C]10.4199751032746[/C][C]2.4896725420831e-05[/C][/ROW]
[ROW][C]138[/C][C]10.42[/C][C]10.4199916822913[/C][C]8.317708704908e-06[/C][/ROW]
[ROW][C]139[/C][C]10.42[/C][C]10.4199972211495[/C][C]2.77885050792293e-06[/C][/ROW]
[ROW][C]140[/C][C]10.42[/C][C]10.4199990716181[/C][C]9.28381892251195e-07[/C][/ROW]
[ROW][C]141[/C][C]10.42[/C][C]10.4199996898383[/C][C]3.10161677674614e-07[/C][/ROW]
[ROW][C]142[/C][C]10.42[/C][C]10.4199998963786[/C][C]1.03621438540813e-07[/C][/ROW]
[ROW][C]143[/C][C]10.42[/C][C]10.4199999653813[/C][C]3.4618727440261e-08[/C][/ROW]
[ROW][C]144[/C][C]10.42[/C][C]10.4199999884343[/C][C]1.15657172727879e-08[/C][/ROW]
[ROW][C]145[/C][C]10.42[/C][C]10.419999996136[/C][C]3.86397225327073e-09[/C][/ROW]
[ROW][C]146[/C][C]10.42[/C][C]10.4199999987091[/C][C]1.29090871325843e-09[/C][/ROW]
[ROW][C]147[/C][C]10.34[/C][C]10.4199999995687[/C][C]-0.079999999568722[/C][/ROW]
[ROW][C]148[/C][C]10.34[/C][C]10.366727076816[/C][C]-0.0267270768160124[/C][/ROW]
[ROW][C]149[/C][C]10.34[/C][C]10.3489292079873[/C][C]-0.00892920798725072[/C][/ROW]
[ROW][C]150[/C][C]10.34[/C][C]10.3429831453634[/C][C]-0.0029831453633502[/C][/ROW]
[ROW][C]151[/C][C]10.42[/C][C]10.3409966344464[/C][C]0.079003365553632[/C][/ROW]
[ROW][C]152[/C][C]10.42[/C][C]10.3936058871093[/C][C]0.026394112890733[/C][/ROW]
[ROW][C]153[/C][C]10.34[/C][C]10.4111820314184[/C][C]-0.0711820314184486[/C][/ROW]
[ROW][C]154[/C][C]10.34[/C][C]10.3637810953987[/C][C]-0.0237810953987108[/C][/ROW]
[ROW][C]155[/C][C]10.34[/C][C]10.3479449895865[/C][C]-0.00794498958645917[/C][/ROW]
[ROW][C]156[/C][C]10.42[/C][C]10.3426543293516[/C][C]0.0773456706484446[/C][/ROW]
[ROW][C]157[/C][C]10.42[/C][C]10.3941597038506[/C][C]0.0258402961493918[/C][/ROW]
[ROW][C]158[/C][C]10.42[/C][C]10.4113670552018[/C][C]0.00863294479820631[/C][/ROW]
[ROW][C]159[/C][C]10.34[/C][C]10.4171158327498[/C][C]-0.0771158327498256[/C][/ROW]
[ROW][C]160[/C][C]10.34[/C][C]10.3657635099593[/C][C]-0.025763509959333[/C][/ROW]
[ROW][C]161[/C][C]10.34[/C][C]10.3486072914181[/C][C]-0.00860729141806615[/C][/ROW]
[ROW][C]162[/C][C]10.34[/C][C]10.3428755967519[/C][C]-0.00287559675185811[/C][/ROW]
[ROW][C]163[/C][C]10.34[/C][C]10.3409607036962[/C][C]-0.000960703696163634[/C][/ROW]
[ROW][C]164[/C][C]10.42[/C][C]10.3403209600203[/C][C]0.0796790399797107[/C][/ROW]
[ROW][C]165[/C][C]10.42[/C][C]10.3933801520794[/C][C]0.0266198479205553[/C][/ROW]
[ROW][C]166[/C][C]10.42[/C][C]10.4111066159495[/C][C]0.00889338405048434[/C][/ROW]
[ROW][C]167[/C][C]10.34[/C][C]10.4170288230006[/C][C]-0.0770288230005871[/C][/ROW]
[ROW][C]168[/C][C]10.42[/C][C]10.365734441006[/C][C]0.0542655589939702[/C][/ROW]
[ROW][C]169[/C][C]10.42[/C][C]10.4018705028561[/C][C]0.0181294971439314[/C][/ROW]
[ROW][C]170[/C][C]10.42[/C][C]10.4139431441823[/C][C]0.0060568558176719[/C][/ROW]
[ROW][C]171[/C][C]10.42[/C][C]10.4179764743553[/C][C]0.00202352564468988[/C][/ROW]
[ROW][C]172[/C][C]10.42[/C][C]10.4193239634295[/C][C]0.000676036570453675[/C][/ROW]
[ROW][C]173[/C][C]10.42[/C][C]10.4197741439819[/C][C]0.000225856018079895[/C][/ROW]
[ROW][C]174[/C][C]10.42[/C][C]10.4199245441103[/C][C]7.54558897142488e-05[/C][/ROW]
[ROW][C]175[/C][C]10.42[/C][C]10.4199747910579[/C][C]2.52089421444168e-05[/C][/ROW]
[ROW][C]176[/C][C]10.42[/C][C]10.4199915779833[/C][C]8.42201670891995e-06[/C][/ROW]
[ROW][C]177[/C][C]10.42[/C][C]10.4199971863014[/C][C]2.81369860921643e-06[/C][/ROW]
[ROW][C]178[/C][C]10.42[/C][C]10.4199990599758[/C][C]9.40024241558035e-07[/C][/ROW]
[ROW][C]179[/C][C]10.42[/C][C]10.4199996859487[/C][C]3.14051252559011e-07[/C][/ROW]
[ROW][C]180[/C][C]10.42[/C][C]10.4199998950791[/C][C]1.04920900412253e-07[/C][/ROW]
[ROW][C]181[/C][C]10.34[/C][C]10.4199999649471[/C][C]-0.0799999649471381[/C][/ROW]
[ROW][C]182[/C][C]10.34[/C][C]10.3667270652493[/C][C]-0.0267270652493412[/C][/ROW]
[ROW][C]183[/C][C]10.34[/C][C]10.348929204123[/C][C]-0.00892920412295872[/C][/ROW]
[ROW][C]184[/C][C]10.42[/C][C]10.3429831440723[/C][C]0.0770168559276652[/C][/ROW]
[ROW][C]185[/C][C]10.42[/C][C]10.394269557055[/C][C]0.0257304429450436[/C][/ROW]
[ROW][C]186[/C][C]10.42[/C][C]10.4114037558899[/C][C]0.0085962441101195[/C][/ROW]
[ROW][C]187[/C][C]10.42[/C][C]10.4171280940263[/C][C]0.00287190597373765[/C][/ROW]
[ROW][C]188[/C][C]10.42[/C][C]10.4190405293502[/C][C]0.000959470649778638[/C][/ROW]
[ROW][C]189[/C][C]10.42[/C][C]10.4196794519263[/C][C]0.000320548073720062[/C][/ROW]
[ROW][C]190[/C][C]10.42[/C][C]10.4198929085871[/C][C]0.000107091412946403[/C][/ROW]
[ROW][C]191[/C][C]10.42[/C][C]10.4199642219946[/C][C]3.57780054454082e-05[/C][/ROW]
[ROW][C]192[/C][C]10.42[/C][C]10.4199880469812[/C][C]1.19530188129602e-05[/C][/ROW]
[ROW][C]193[/C][C]10.42[/C][C]10.4199960066343[/C][C]3.9933656719171e-06[/C][/ROW]
[ROW][C]194[/C][C]10.42[/C][C]10.4199986658626[/C][C]1.33413739611399e-06[/C][/ROW]
[ROW][C]195[/C][C]10.42[/C][C]10.4199995542801[/C][C]4.45719910757703e-07[/C][/ROW]
[ROW][C]196[/C][C]10.42[/C][C]10.4199998510901[/C][C]1.48909879982284e-07[/C][/ROW]
[ROW][C]197[/C][C]10.42[/C][C]10.4199999502509[/C][C]4.97490724171712e-08[/C][/ROW]
[ROW][C]198[/C][C]10.34[/C][C]10.4199999833794[/C][C]-0.079999983379409[/C][/ROW]
[ROW][C]199[/C][C]10.34[/C][C]10.3667270714073[/C][C]-0.0267270714073486[/C][/ROW]
[ROW][C]200[/C][C]10.42[/C][C]10.3489292061803[/C][C]0.0710707938197217[/C][/ROW]
[ROW][C]201[/C][C]10.42[/C][C]10.3962560677996[/C][C]0.0237439322004356[/C][/ROW]
[ROW][C]202[/C][C]10.55[/C][C]10.4120674262093[/C][C]0.137932573790705[/C][/ROW]
[ROW][C]203[/C][C]10.55[/C][C]10.5039183185624[/C][C]0.0460816814376059[/C][/ROW]
[ROW][C]204[/C][C]10.55[/C][C]10.5346046419221[/C][C]0.0153953580779191[/C][/ROW]
[ROW][C]205[/C][C]10.55[/C][C]10.5448565884978[/C][C]0.00514341150221043[/C][/ROW]
[ROW][C]206[/C][C]10.55[/C][C]10.5482816455618[/C][C]0.00171835443821244[/C][/ROW]
[ROW][C]207[/C][C]10.55[/C][C]10.5494259176086[/C][C]0.000574082391436193[/C][/ROW]
[ROW][C]208[/C][C]10.55[/C][C]10.5498082056968[/C][C]0.000191794303216142[/C][/ROW]
[ROW][C]209[/C][C]10.55[/C][C]10.5499359237362[/C][C]6.40762637829084e-05[/C][/ROW]
[ROW][C]210[/C][C]10.55[/C][C]10.5499785928596[/C][C]2.14071404176508e-05[/C][/ROW]
[ROW][C]211[/C][C]10.55[/C][C]10.5499928481214[/C][C]7.15187861821676e-06[/C][/ROW]
[ROW][C]212[/C][C]10.49[/C][C]10.5499976106399[/C][C]-0.0599976106398721[/C][/ROW]
[ROW][C]213[/C][C]10.49[/C][C]10.5100445094624[/C][C]-0.0200445094624229[/C][/ROW]
[ROW][C]214[/C][C]10.55[/C][C]10.4966966393379[/C][C]0.0533033606621309[/C][/ROW]
[ROW][C]215[/C][C]10.55[/C][C]10.5321919622169[/C][C]0.0178080377831069[/C][/ROW]
[ROW][C]216[/C][C]10.55[/C][C]10.5440505400458[/C][C]0.00594945995421803[/C][/ROW]
[ROW][C]217[/C][C]10.55[/C][C]10.5480123540742[/C][C]0.00198764592584233[/C][/ROW]
[ROW][C]218[/C][C]10.55[/C][C]10.5493359504296[/C][C]0.000664049570367808[/C][/ROW]
[ROW][C]219[/C][C]10.55[/C][C]10.5497781487003[/C][C]0.00022185129965635[/C][/ROW]
[ROW][C]220[/C][C]10.49[/C][C]10.5499258820405[/C][C]-0.0599258820405062[/C][/ROW]
[ROW][C]221[/C][C]10.55[/C][C]10.510020545765[/C][C]0.0399794542350218[/C][/ROW]
[ROW][C]222[/C][C]10.55[/C][C]10.536643325623[/C][C]0.013356674377027[/C][/ROW]
[ROW][C]223[/C][C]10.55[/C][C]10.5455376891999[/C][C]0.00446231080007209[/C][/ROW]
[ROW][C]224[/C][C]10.55[/C][C]10.5485091934478[/C][C]0.00149080655216771[/C][/ROW]
[ROW][C]225[/C][C]10.55[/C][C]10.5495019387318[/C][C]0.000498061268155325[/C][/ROW]
[ROW][C]226[/C][C]10.55[/C][C]10.5498336034769[/C][C]0.000166396523059831[/C][/ROW]
[ROW][C]227[/C][C]10.49[/C][C]10.5499444088415[/C][C]-0.0599444088415293[/C][/ROW]
[ROW][C]228[/C][C]10.49[/C][C]10.5100267353554[/C][C]-0.0200267353554384[/C][/ROW]
[ROW][C]229[/C][C]10.55[/C][C]10.4966907012138[/C][C]0.0533092987861963[/C][/ROW]
[ROW][C]230[/C][C]10.55[/C][C]10.5321899783582[/C][C]0.0178100216418429[/C][/ROW]
[ROW][C]231[/C][C]10.55[/C][C]10.5440498772615[/C][C]0.00595012273853079[/C][/ROW]
[ROW][C]232[/C][C]10.49[/C][C]10.5480121326456[/C][C]-0.0580121326455671[/C][/ROW]
[ROW][C]233[/C][C]10.55[/C][C]10.509381184173[/C][C]0.0406188158270329[/C][/ROW]
[ROW][C]234[/C][C]10.55[/C][C]10.536429722292[/C][C]0.0135702777079647[/C][/ROW]
[ROW][C]235[/C][C]10.55[/C][C]10.5454663267916[/C][C]0.0045336732083836[/C][/ROW]
[ROW][C]236[/C][C]10.55[/C][C]10.5484853520906[/C][C]0.00151464790940459[/C][/ROW]
[ROW][C]237[/C][C]10.55[/C][C]10.5494939736095[/C][C]0.00050602639052677[/C][/ROW]
[ROW][C]238[/C][C]10.55[/C][C]10.5498309424215[/C][C]0.000169057578542464[/C][/ROW]
[ROW][C]239[/C][C]10.55[/C][C]10.5499435198136[/C][C]5.6480186405139e-05[/C][/ROW]
[ROW][C]240[/C][C]10.55[/C][C]10.5499811306214[/C][C]1.88693786089544e-05[/C][/ROW]
[ROW][C]241[/C][C]10.55[/C][C]10.5499936959583[/C][C]6.30404167800691e-06[/C][/ROW]
[ROW][C]242[/C][C]10.49[/C][C]10.5499978938924[/C][C]-0.0599978938924117[/C][/ROW]
[ROW][C]243[/C][C]10.49[/C][C]10.5100446040938[/C][C]-0.0200446040938278[/C][/ROW]
[ROW][C]244[/C][C]10.49[/C][C]10.4966966709531[/C][C]-0.00669667095312931[/C][/ROW]
[ROW][C]245[/C][C]10.55[/C][C]10.4922372804993[/C][C]0.057762719500742[/C][/ROW]
[ROW][C]246[/C][C]10.55[/C][C]10.530702141881[/C][C]0.0192978581190104[/C][/ROW]
[ROW][C]247[/C][C]10.55[/C][C]10.5435528082611[/C][C]0.00644719173889818[/C][/ROW]
[ROW][C]248[/C][C]10.49[/C][C]10.5478460676277[/C][C]-0.0578460676277253[/C][/ROW]
[ROW][C]249[/C][C]10.55[/C][C]10.5093257037666[/C][C]0.0406742962334352[/C][/ROW]
[ROW][C]250[/C][C]10.55[/C][C]10.5364111869284[/C][C]0.0135888130716104[/C][/ROW]
[ROW][C]251[/C][C]10.55[/C][C]10.5454601343405[/C][C]0.00453986565951681[/C][/ROW]
[ROW][C]252[/C][C]10.63[/C][C]10.5484832832641[/C][C]0.0815167167358801[/C][/ROW]
[ROW][C]253[/C][C]10.63[/C][C]10.6027662054783[/C][C]0.0272337945216794[/C][/ROW]
[ROW][C]254[/C][C]10.63[/C][C]10.6209015034738[/C][C]0.00909849652620487[/C][/ROW]
[ROW][C]255[/C][C]10.63[/C][C]10.626960297289[/C][C]0.00303970271096254[/C][/ROW]
[ROW][C]256[/C][C]10.63[/C][C]10.6289844703964[/C][C]0.00101552960364693[/C][/ROW]
[ROW][C]257[/C][C]10.57[/C][C]10.6296607232766[/C][C]-0.0596607232766022[/C][/ROW]
[ROW][C]258[/C][C]10.63[/C][C]10.5899319592814[/C][C]0.0400680407186407[/C][/ROW]
[ROW][C]259[/C][C]10.63[/C][C]10.6166137299009[/C][C]0.0133862700990921[/C][/ROW]
[ROW][C]260[/C][C]10.63[/C][C]10.6255278016107[/C][C]0.00447219838933854[/C][/ROW]
[ROW][C]261[/C][C]10.63[/C][C]10.6285058901183[/C][C]0.00149410988165855[/C][/ROW]
[ROW][C]262[/C][C]10.57[/C][C]10.6295008351276[/C][C]-0.0595008351275759[/C][/ROW]
[ROW][C]263[/C][C]10.57[/C][C]10.5898785424956[/C][C]-0.0198785424955599[/C][/ROW]
[ROW][C]264[/C][C]10.57[/C][C]10.5766411916892[/C][C]-0.00664119168916777[/C][/ROW]
[ROW][C]265[/C][C]10.63[/C][C]10.5722187455173[/C][C]0.0577812544827108[/C][/ROW]
[ROW][C]266[/C][C]10.63[/C][C]10.6106959495574[/C][C]0.0193040504426296[/C][/ROW]
[ROW][C]267[/C][C]10.63[/C][C]10.6235507394772[/C][C]0.00644926052277128[/C][/ROW]
[ROW][C]268[/C][C]10.63[/C][C]10.6278453764709[/C][C]0.00215462352909768[/C][/ROW]
[ROW][C]269[/C][C]10.57[/C][C]10.629280165139[/C][C]-0.059280165138972[/C][/ROW]
[ROW][C]270[/C][C]10.63[/C][C]10.5898048191985[/C][C]0.0401951808015433[/C][/ROW]
[ROW][C]271[/C][C]10.63[/C][C]10.6165712538662[/C][C]0.0134287461338491[/C][/ROW]
[ROW][C]272[/C][C]10.57[/C][C]10.6255136108575[/C][C]-0.0555136108575383[/C][/ROW]
[ROW][C]273[/C][C]10.63[/C][C]10.5885464568715[/C][C]0.0414535431284708[/C][/ROW]
[ROW][C]274[/C][C]10.63[/C][C]10.6161508495317[/C][C]0.0138491504682925[/C][/ROW]
[ROW][C]275[/C][C]10.63[/C][C]10.62537315862[/C][C]0.00462684137997549[/C][/ROW]
[ROW][C]276[/C][C]10.63[/C][C]10.6284542256794[/C][C]0.0015457743205598[/C][/ROW]
[ROW][C]277[/C][C]10.57[/C][C]10.6294835746346[/C][C]-0.059483574634644[/C][/ROW]
[ROW][C]278[/C][C]10.63[/C][C]10.589872775964[/C][C]0.0401272240359773[/C][/ROW]
[ROW][C]279[/C][C]10.6[/C][C]10.6165939574374[/C][C]-0.0165939574374434[/C][/ROW]
[ROW][C]280[/C][C]10.7[/C][C]10.6055438497188[/C][C]0.0944561502812107[/C][/ROW]
[ROW][C]281[/C][C]10.7[/C][C]10.668443290026[/C][C]0.0315567099740051[/C][/ROW]
[ROW][C]282[/C][C]10.7[/C][C]10.689457267299[/C][C]0.0105427327010332[/C][/ROW]
[ROW][C]283[/C][C]10.7[/C][C]10.6964777946466[/C][C]0.00352220535337722[/C][/ROW]
[ROW][C]284[/C][C]10.7[/C][C]10.6988232718306[/C][C]0.00117672816936221[/C][/ROW]
[ROW][C]285[/C][C]10.7[/C][C]10.6996068686957[/C][C]0.00039313130429619[/C][/ROW]
[ROW][C]286[/C][C]10.7[/C][C]10.6998686593672[/C][C]0.000131340632817611[/C][/ROW]
[ROW][C]287[/C][C]10.7[/C][C]10.69995612061[/C][C]4.3879390016599e-05[/C][/ROW]
[ROW][C]288[/C][C]10.7[/C][C]10.6999853404021[/C][C]1.46595979249042e-05[/C][/ROW]
[ROW][C]289[/C][C]10.7[/C][C]10.6999951023975[/C][C]4.89760252442295e-06[/C][/ROW]
[ROW][C]290[/C][C]10.6[/C][C]10.6999983637675[/C][C]-0.0999983637675044[/C][/ROW]
[ROW][C]291[/C][C]10.6[/C][C]10.6334082995537[/C][C]-0.0334082995537237[/C][/ROW]
[ROW][C]292[/C][C]10.6[/C][C]10.611161327416[/C][C]-0.0111613274159801[/C][/ROW]
[ROW][C]293[/C][C]10.6[/C][C]10.6037288707103[/C][C]-0.00372887071029737[/C][/ROW]
[ROW][C]294[/C][C]10.7[/C][C]10.6012457726806[/C][C]0.0987542273193949[/C][/ROW]
[ROW][C]295[/C][C]10.7[/C][C]10.6670073520787[/C][C]0.0329926479212546[/C][/ROW]
[ROW][C]296[/C][C]10.6[/C][C]10.6889775369986[/C][C]-0.088977536998641[/C][/ROW]
[ROW][C]297[/C][C]10.7[/C][C]10.6297263684885[/C][C]0.0702736315114674[/C][/ROW]
[ROW][C]298[/C][C]10.7[/C][C]10.6765223905291[/C][C]0.0234776094709055[/C][/ROW]
[ROW][C]299[/C][C]10.7[/C][C]10.6921564015604[/C][C]0.00784359843959948[/C][/ROW]
[ROW][C]300[/C][C]10.7[/C][C]10.6973795442608[/C][C]0.00262045573924041[/C][/ROW]
[ROW][C]301[/C][C]10.7[/C][C]10.6991245359723[/C][C]0.000875464027664918[/C][/ROW]
[ROW][C]302[/C][C]10.7[/C][C]10.6997075175695[/C][C]0.00029248243053992[/C][/ROW]
[ROW][C]303[/C][C]10.7[/C][C]10.6999022849946[/C][C]9.77150053813602e-05[/C][/ROW]
[ROW][C]304[/C][C]10.7[/C][C]10.6999673545441[/C][C]3.26454558621236e-05[/C][/ROW]
[ROW][C]305[/C][C]10.7[/C][C]10.6999890935299[/C][C]1.09064701394601e-05[/C][/ROW]
[ROW][C]306[/C][C]10.7[/C][C]10.6999963562742[/C][C]3.6437258348343e-06[/C][/ROW]
[ROW][C]307[/C][C]10.7[/C][C]10.6999987826732[/C][C]1.2173267602833e-06[/C][/ROW]
[ROW][C]308[/C][C]10.7[/C][C]10.6999995933052[/C][C]4.06694825372256e-07[/C][/ROW]
[ROW][C]309[/C][C]10.7[/C][C]10.699999864128[/C][C]1.35872047835051e-07[/C][/ROW]
[ROW][C]310[/C][C]10.7[/C][C]10.6999999546067[/C][C]4.53932837984894e-08[/C][/ROW]
[ROW][C]311[/C][C]10.8[/C][C]10.6999999848346[/C][C]0.100000015165374[/C][/ROW]
[ROW][C]312[/C][C]10.8[/C][C]10.7665911487333[/C][C]0.0334088512666977[/C][/ROW]
[ROW][C]313[/C][C]10.8[/C][C]10.7888384882631[/C][C]0.011161511736919[/C][/ROW]
[ROW][C]314[/C][C]10.8[/C][C]10.7962710677102[/C][C]0.00372893228979621[/C][/ROW]
[ROW][C]315[/C][C]10.7[/C][C]10.7987542067464[/C][C]-0.0987542067463973[/C][/ROW]
[ROW][C]316[/C][C]10.7[/C][C]10.7329926410481[/C][C]-0.0329926410480539[/C][/ROW]
[ROW][C]317[/C][C]10.7[/C][C]10.7110224607051[/C][C]-0.011022460705103[/C][/ROW]
[ROW][C]318[/C][C]10.85[/C][C]10.7036824769444[/C][C]0.146317523055563[/C][/ROW]
[ROW][C]319[/C][C]10.75[/C][C]10.8011170037585[/C][C]-0.0511170037585398[/C][/ROW]
[ROW][C]320[/C][C]10.75[/C][C]10.7670776011678[/C][C]-0.0170776011678004[/C][/ROW]
[ROW][C]321[/C][C]10.75[/C][C]10.7557054295088[/C][C]-0.00570542950882036[/C][/ROW]
[ROW][C]322[/C][C]10.75[/C][C]10.7519061181697[/C][C]-0.00190611816965891[/C][/ROW]
[ROW][C]323[/C][C]10.75[/C][C]10.7506368120877[/C][C]-0.000636812087693173[/C][/ROW]
[ROW][C]324[/C][C]10.75[/C][C]10.750212751571[/C][C]-0.000212751570961345[/C][/ROW]
[ROW][C]325[/C][C]10.75[/C][C]10.7500710778451[/C][C]-7.10778451313843e-05[/C][/ROW]
[ROW][C]326[/C][C]10.75[/C][C]10.750023746288[/C][C]-2.37462879617567e-05[/C][/ROW]
[ROW][C]327[/C][C]10.75[/C][C]10.7500079333608[/C][C]-7.9333608233867e-06[/C][/ROW]
[ROW][C]328[/C][C]10.75[/C][C]10.7500026504443[/C][C]-2.65044431557726e-06[/C][/ROW]
[ROW][C]329[/C][C]10.75[/C][C]10.7500008854829[/C][C]-8.85482865697895e-07[/C][/ROW]
[ROW][C]330[/C][C]10.85[/C][C]10.7500002958296[/C][C]0.0999997041703917[/C][/ROW]
[ROW][C]331[/C][C]10.85[/C][C]10.8165912526331[/C][C]0.0334087473668632[/C][/ROW]
[ROW][C]332[/C][C]10.85[/C][C]10.8388385229748[/C][C]0.0111614770251816[/C][/ROW]
[ROW][C]333[/C][C]10.85[/C][C]10.846271079307[/C][C]0.00372892069300512[/C][/ROW]
[ROW][C]334[/C][C]10.85[/C][C]10.8487542106207[/C][C]0.00124578937925079[/C][/ROW]
[ROW][C]335[/C][C]10.85[/C][C]10.8495837961423[/C][C]0.000416203857691144[/C][/ROW]
[ROW][C]336[/C][C]10.85[/C][C]10.8498609510933[/C][C]0.000139048906694583[/C][/ROW]
[ROW][C]337[/C][C]10.85[/C][C]10.8499535453646[/C][C]4.64546353811102e-05[/C][/ROW]
[ROW][C]338[/C][C]10.85[/C][C]10.8499844800423[/C][C]1.55199576870046e-05[/C][/ROW]
[ROW][C]339[/C][C]10.85[/C][C]10.8499948149612[/C][C]5.18503879476384e-06[/C][/ROW]
[ROW][C]340[/C][C]10.75[/C][C]10.8499982677384[/C][C]-0.0999982677383624[/C][/ROW]
[ROW][C]341[/C][C]10.75[/C][C]10.7834082674715[/C][C]-0.0334082674714953[/C][/ROW]
[ROW][C]342[/C][C]10.85[/C][C]10.7611613166977[/C][C]0.0888386833023223[/C][/ROW]
[ROW][C]343[/C][C]10.85[/C][C]10.8203200209293[/C][C]0.0296799790706856[/C][/ROW]
[ROW][C]344[/C][C]10.85[/C][C]10.84008426144[/C][C]0.00991573855995398[/C][/ROW]
[ROW][C]345[/C][C]10.85[/C][C]10.8466872661549[/C][C]0.00331273384510133[/C][/ROW]
[ROW][C]346[/C][C]10.75[/C][C]10.8488932538447[/C][C]-0.09889325384467[/C][/ROW]
[ROW][C]347[/C][C]10.75[/C][C]10.7830390950793[/C][C]-0.0330390950792623[/C][/ROW]
[ROW][C]348[/C][C]10.75[/C][C]10.7610379804609[/C][C]-0.0110379804609426[/C][/ROW]
[ROW][C]349[/C][C]10.75[/C][C]10.7536876619158[/C][C]-0.00368766191579617[/C][/ROW]
[ROW][C]350[/C][C]10.75[/C][C]10.7512320052978[/C][C]-0.00123200529782963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107337&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107337&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
210100
310100
410100
510100
69.9410-0.0600000000000005
710.069.960045307720070.099954692279928
810.0610.02660629058640.0333937094136054
910.0610.04884354698150.0111564530185078
1010.0610.05627275776970.00372724223034204
1110.0610.05875477137580.00124522862424037
1210.0610.05958398348410.000416016515911721
1310.0610.0598610136820.000138986317967493
1410.0610.05995356627484.6433725209738e-05
1510.0610.05998448702821.55129718404368e-05
1610.0610.05999481729515.1827049034614e-06
1710.0610.05999826851811.73148191073835e-06
1810.0610.05999942153195.78468128509257e-07
1910.0610.05999980674051.93259527492273e-07
2010.0610.05999993543426.45657785014464e-08
219.9410.0599999784293-0.11999997842932
229.949.98009060823363-0.0400906082336299
239.949.95339380964547-0.013393809645466
249.949.94447471726479-0.00447471726478987
259.949.94149495140888-0.00149495140888334
269.949.94049944601696-0.000499446016959837
2710.069.940166859151660.119833140848343
2810.0610.01996513027720.0400348697227972
299.9410.0466248119479-0.106624811947892
3010.069.975622119434840.0843778805651603
3110.0610.03181032365510.0281896763449367
3210.0610.05058215438560.00941784561439185
3310.1810.05685360644330.123146393556675
3410.2810.13885821077570.141141789224346
3510.2810.23284615671390.0471538432860612
3610.1810.2642464450191-0.0842464450191134
3710.2810.20814576524550.071854234754495
3810.2810.25599432922260.0240056707774041
3910.2810.27197998237070.00802001762933102
4010.1810.277320604645-0.0973206046449935
4110.2810.21251369112690.067486308873125
4210.2810.25745360286240.0225463971375603
4310.1810.2724675088566-0.0924675088566431
4410.1810.210892327819-0.0308923278190001
4510.1810.1903207702887-0.0103207702886863
4610.2810.18344805027240.0965519497275853
4710.2810.24774310761230.0322568923877071
4810.1810.2692233444333-0.0892233444332522
4910.1810.2098084899163-0.0298084899163094
5010.1810.1899586725507-0.00995867255071836
5110.1810.183327077596-0.00332707759604389
5210.1810.181111538237-0.00111153823702104
5310.1810.1803713521001-0.000371352100062339
5410.2810.1801240644520.0998759355480292
5510.2810.24663260230180.0333673976981732
5610.2810.2688523374220.0111476625779652
5710.1810.2762756945544-0.0962756945544196
5810.1810.2121645987218-0.0321645987217849
5910.1810.1907458213178-0.0107458213178475
6010.2810.1835900549170.0964099450829803
6110.1810.2477905497256-0.067790549725606
6210.1810.202648040496-0.0226480404960441
6310.2810.18756644901670.0924335509833352
6410.1810.2491190171147-0.0691190171146658
6510.1810.2030918661229-0.0230918661228738
6610.1810.1877147260377-0.00771472603772949
6710.2810.18257740095670.097422599043293
6810.2810.24745223372150.032547766278535
6910.2810.26912616682240.0108738331775715
7010.2810.27636717779760.00363282220235206
7110.2810.27878631601770.00121368398230715
7210.2810.2795945221850.000405477815004218
7310.1810.2798645345404-0.0998645345404086
7410.1810.2133635887531-0.0333635887530725
7510.1810.1911463900534-0.011146390053355
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8010.1810.1800463918426-4.63918426358845e-05
8110.1810.1800154989794-1.54989793550442e-05
8210.2810.18000517803020.0999948219698243
8310.2810.246592883720.0334071162799834
8410.2810.26883906790210.0111609320978747
8510.2810.27627126136090.00372873863907941
8610.2810.27875427144290.00124572855713367
8710.2810.27958381646230.000416183537723214
8810.2810.2798609578820.000139042118028954
8910.2810.27995354763264.64523673660011e-05
9010.1810.2799844808-0.09998448080003
9110.2810.21340366141450.0665963385855282
9210.2810.2577509316670.0222490683329504
9310.2810.27256684297970.00743315702031566
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9510.1810.2791703474326-0.0991703474325742
9610.2810.21313166884990.0668683311501255
9710.2810.25766006208950.0223399379105338
9810.2810.27253648450230.00746351549773294
9910.1810.2775065255862-0.0975065255862404
10010.1810.2125758051682-0.0325758051681895
10110.2810.19088320064710.089116799352908
10210.2810.25022710556570.0297728944342843
10310.2810.27005321948910.00994678051087483
10410.2810.27667689539730.00332310460274243
10510.2810.27888978909420.0011102109058001
10610.2810.2796290913460.000370908654016233
10710.2810.27987608369820.000123916301763671
10810.1810.2799586009933-0.099958600993327
10910.2810.21339501526970.0666049847303452
11010.2810.25774804308980.0222519569101749
11110.2810.27256587793940.00743412206063709
11210.4210.27751634559440.142483654405568
11310.4210.37239785503930.0476021449606687
11410.4210.40409667260210.0159033273978686
11510.4210.41468688180890.00531311819105618
11610.4210.41822494851510.00177505148488066
11710.4210.41940697577940.000593024220556515
11810.4210.41980187745020.000198122549775803
11910.4210.41993380954216.61904579430939e-05
12010.4210.41997788653172.21134682938384e-05
12110.4210.41999261214547.38785461251723e-06
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13910.4210.41999722114952.77885050792293e-06
14010.4210.41999907161819.28381892251195e-07
14110.4210.41999968983833.10161677674614e-07
14210.4210.41999989637861.03621438540813e-07
14310.4210.41999996538133.4618727440261e-08
14410.4210.41999998843431.15657172727879e-08
14510.4210.4199999961363.86397225327073e-09
14610.4210.41999999870911.29090871325843e-09
14710.3410.4199999995687-0.079999999568722
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14910.3410.3489292079873-0.00892920798725072
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15310.3410.4111820314184-0.0711820314184486
15410.3410.3637810953987-0.0237810953987108
15510.3410.3479449895865-0.00794498958645917
15610.4210.34265432935160.0773456706484446
15710.4210.39415970385060.0258402961493918
15810.4210.41136705520180.00863294479820631
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16010.3410.3657635099593-0.025763509959333
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16310.3410.3409607036962-0.000960703696163634
16410.4210.34032096002030.0796790399797107
16510.4210.39338015207940.0266198479205553
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16710.3410.4170288230006-0.0770288230005871
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17510.4210.41997479105792.52089421444168e-05
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18610.4210.41140375588990.0085962441101195
18710.4210.41712809402630.00287190597373765
18810.4210.41904052935020.000959470649778638
18910.4210.41967945192630.000320548073720062
19010.4210.41989290858710.000107091412946403
19110.4210.41996422199463.57780054454082e-05
19210.4210.41998804698121.19530188129602e-05
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19410.4210.41999866586261.33413739611399e-06
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19610.4210.41999985109011.48909879982284e-07
19710.4210.41999995025094.97490724171712e-08
19810.3410.4199999833794-0.079999983379409
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20510.5510.54485658849780.00514341150221043
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21010.5510.54997859285962.14071404176508e-05
21110.5510.54999284812147.15187861821676e-06
21210.4910.5499976106399-0.0599976106398721
21310.4910.5100445094624-0.0200445094624229
21410.5510.49669663933790.0533033606621309
21510.5510.53219196221690.0178080377831069
21610.5510.54405054004580.00594945995421803
21710.5510.54801235407420.00198764592584233
21810.5510.54933595042960.000664049570367808
21910.5510.54977814870030.00022185129965635
22010.4910.5499258820405-0.0599258820405062
22110.5510.5100205457650.0399794542350218
22210.5510.5366433256230.013356674377027
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22410.5510.54850919344780.00149080655216771
22510.5510.54950193873180.000498061268155325
22610.5510.54983360347690.000166396523059831
22710.4910.5499444088415-0.0599444088415293
22810.4910.5100267353554-0.0200267353554384
22910.5510.49669070121380.0533092987861963
23010.5510.53218997835820.0178100216418429
23110.5510.54404987726150.00595012273853079
23210.4910.5480121326456-0.0580121326455671
23310.5510.5093811841730.0406188158270329
23410.5510.5364297222920.0135702777079647
23510.5510.54546632679160.0045336732083836
23610.5510.54848535209060.00151464790940459
23710.5510.54949397360950.00050602639052677
23810.5510.54983094242150.000169057578542464
23910.5510.54994351981365.6480186405139e-05
24010.5510.54998113062141.88693786089544e-05
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24310.4910.5100446040938-0.0200446040938278
24410.4910.4966966709531-0.00669667095312931
24510.5510.49223728049930.057762719500742
24610.5510.5307021418810.0192978581190104
24710.5510.54355280826110.00644719173889818
24810.4910.5478460676277-0.0578460676277253
24910.5510.50932570376660.0406742962334352
25010.5510.53641118692840.0135888130716104
25110.5510.54546013434050.00453986565951681
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25310.6310.60276620547830.0272337945216794
25410.6310.62090150347380.00909849652620487
25510.6310.6269602972890.00303970271096254
25610.6310.62898447039640.00101552960364693
25710.5710.6296607232766-0.0596607232766022
25810.6310.58993195928140.0400680407186407
25910.6310.61661372990090.0133862700990921
26010.6310.62552780161070.00447219838933854
26110.6310.62850589011830.00149410988165855
26210.5710.6295008351276-0.0595008351275759
26310.5710.5898785424956-0.0198785424955599
26410.5710.5766411916892-0.00664119168916777
26510.6310.57221874551730.0577812544827108
26610.6310.61069594955740.0193040504426296
26710.6310.62355073947720.00644926052277128
26810.6310.62784537647090.00215462352909768
26910.5710.629280165139-0.059280165138972
27010.6310.58980481919850.0401951808015433
27110.6310.61657125386620.0134287461338491
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27310.6310.58854645687150.0414535431284708
27410.6310.61615084953170.0138491504682925
27510.6310.625373158620.00462684137997549
27610.6310.62845422567940.0015457743205598
27710.5710.6294835746346-0.059483574634644
27810.6310.5898727759640.0401272240359773
27910.610.6165939574374-0.0165939574374434
28010.710.60554384971880.0944561502812107
28110.710.6684432900260.0315567099740051
28210.710.6894572672990.0105427327010332
28310.710.69647779464660.00352220535337722
28410.710.69882327183060.00117672816936221
28510.710.69960686869570.00039313130429619
28610.710.69986865936720.000131340632817611
28710.710.699956120614.3879390016599e-05
28810.710.69998534040211.46595979249042e-05
28910.710.69999510239754.89760252442295e-06
29010.610.6999983637675-0.0999983637675044
29110.610.6334082995537-0.0334082995537237
29210.610.611161327416-0.0111613274159801
29310.610.6037288707103-0.00372887071029737
29410.710.60124577268060.0987542273193949
29510.710.66700735207870.0329926479212546
29610.610.6889775369986-0.088977536998641
29710.710.62972636848850.0702736315114674
29810.710.67652239052910.0234776094709055
29910.710.69215640156040.00784359843959948
30010.710.69737954426080.00262045573924041
30110.710.69912453597230.000875464027664918
30210.710.69970751756950.00029248243053992
30310.710.69990228499469.77150053813602e-05
30410.710.69996735454413.26454558621236e-05
30510.710.69998909352991.09064701394601e-05
30610.710.69999635627423.6437258348343e-06
30710.710.69999878267321.2173267602833e-06
30810.710.69999959330524.06694825372256e-07
30910.710.6999998641281.35872047835051e-07
31010.710.69999995460674.53932837984894e-08
31110.810.69999998483460.100000015165374
31210.810.76659114873330.0334088512666977
31310.810.78883848826310.011161511736919
31410.810.79627106771020.00372893228979621
31510.710.7987542067464-0.0987542067463973
31610.710.7329926410481-0.0329926410480539
31710.710.7110224607051-0.011022460705103
31810.8510.70368247694440.146317523055563
31910.7510.8011170037585-0.0511170037585398
32010.7510.7670776011678-0.0170776011678004
32110.7510.7557054295088-0.00570542950882036
32210.7510.7519061181697-0.00190611816965891
32310.7510.7506368120877-0.000636812087693173
32410.7510.750212751571-0.000212751570961345
32510.7510.7500710778451-7.10778451313843e-05
32610.7510.750023746288-2.37462879617567e-05
32710.7510.7500079333608-7.9333608233867e-06
32810.7510.7500026504443-2.65044431557726e-06
32910.7510.7500008854829-8.85482865697895e-07
33010.8510.75000029582960.0999997041703917
33110.8510.81659125263310.0334087473668632
33210.8510.83883852297480.0111614770251816
33310.8510.8462710793070.00372892069300512
33410.8510.84875421062070.00124578937925079
33510.8510.84958379614230.000416203857691144
33610.8510.84986095109330.000139048906694583
33710.8510.84995354536464.64546353811102e-05
33810.8510.84998448004231.55199576870046e-05
33910.8510.84999481496125.18503879476384e-06
34010.7510.8499982677384-0.0999982677383624
34110.7510.7834082674715-0.0334082674714953
34210.8510.76116131669770.0888386833023223
34310.8510.82032002092930.0296799790706856
34410.8510.840084261440.00991573855995398
34510.8510.84668726615490.00331273384510133
34610.7510.8488932538447-0.09889325384467
34710.7510.7830390950793-0.0330390950792623
34810.7510.7610379804609-0.0110379804609426
34910.7510.7536876619158-0.00368766191579617
35010.7510.7512320052978-0.00123200529782963






Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
35110.750411598755110.665281650739610.8355415467706
35210.750411598755110.648133778936310.852689418574
35310.750411598755110.633474022225310.8673491752849
35410.750411598755110.620457602347110.8803655951632
35510.750411598755110.608631185579710.8921920119306

\begin{tabular}{lllllllll}
\hline
Extrapolation Forecasts of Exponential Smoothing \tabularnewline
t & Forecast & 95% Lower Bound & 95% Upper Bound \tabularnewline
351 & 10.7504115987551 & 10.6652816507396 & 10.8355415467706 \tabularnewline
352 & 10.7504115987551 & 10.6481337789363 & 10.852689418574 \tabularnewline
353 & 10.7504115987551 & 10.6334740222253 & 10.8673491752849 \tabularnewline
354 & 10.7504115987551 & 10.6204576023471 & 10.8803655951632 \tabularnewline
355 & 10.7504115987551 & 10.6086311855797 & 10.8921920119306 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107337&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]351[/C][C]10.7504115987551[/C][C]10.6652816507396[/C][C]10.8355415467706[/C][/ROW]
[ROW][C]352[/C][C]10.7504115987551[/C][C]10.6481337789363[/C][C]10.852689418574[/C][/ROW]
[ROW][C]353[/C][C]10.7504115987551[/C][C]10.6334740222253[/C][C]10.8673491752849[/C][/ROW]
[ROW][C]354[/C][C]10.7504115987551[/C][C]10.6204576023471[/C][C]10.8803655951632[/C][/ROW]
[ROW][C]355[/C][C]10.7504115987551[/C][C]10.6086311855797[/C][C]10.8921920119306[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107337&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107337&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
35110.750411598755110.665281650739610.8355415467706
35210.750411598755110.648133778936310.852689418574
35310.750411598755110.633474022225310.8673491752849
35410.750411598755110.620457602347110.8803655951632
35510.750411598755110.608631185579710.8921920119306


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = Single ; par3 = additive ;
Parameters (R input):
par1 = 12 ; par2 = Single ; par3 = additive ;
R code (references can be found in the software module):
par1 <- 5
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$fitted[,'xhat']
bitmap(file='test1.png')
op <- par(mfrow=c(2,1))
plot(fit,ylab='Observed (black) / Fitted (red)',main='Interpolation Fit of Exponential Smoothing')
plot(myresid,ylab='Residuals',main='Interpolation Prediction Errors')
par(op)
dev.off()
bitmap(file='test2.png')
p <- predict(fit, par1, prediction.interval=TRUE)
np <- length(p[,1])
plot(fit,p,ylab='Observed (black) / Fitted (red)',main='Extrapolation Fit of Exponential Smoothing')
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(myresid),lag.max = nx/2,main='Residual ACF')
spectrum(myresid,main='Residals Periodogram')
cpgram(myresid,main='Residal Cumulative Periodogram')
qqnorm(myresid,main='Residual Normal QQ Plot')
qqline(myresid)
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Estimated Parameters of Exponential Smoothing',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,fit$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')