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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, 22 Dec 2011 04:45:39 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324547173divedhmbchnkw1t.htm/, Retrieved Fri, 03 May 2024 05:44:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159210, Retrieved Fri, 03 May 2024 05:44:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Classical Decomposition] [] [2011-12-22 09:22:41] [ad2d4c5ace9fa07b356a7b5098237581]
- RMPD    [Exponential Smoothing] [] [2011-12-22 09:45:39] [daf26cf00f2f7a7ee0a1368c8ac8117e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
315.71
317.45
317.5
317.12
315.86
314.93
313.2
312.6
313.33
314.67
315.62
316.38
316.71
317.72
318.29
318.16
316.55
314.8
313.84
313.26
314.8
315.59
316.43
316.97
317.58
319.02
320.02
319.59
318.18
315.91
314.16
313.83
315
316.19
316.93
317.7
318.54
319.48
320.58
319.77
318.58
316.79
314.8
315.38
316.1
317.01
317.94
318.55
319.68
320.63
321.01
320.55
319.58
317.4
316.26
315.42
316.69
317.7
318.74
319.08
319.86
321.39
322.24
321.47
319.74
317.77
316.21
315.99
317.12
318.31
319.57
320.08
320.75
321.8
322.24
321.89
320.44
318.7
316.7
316.79
317.79
318.71
319.44
320.44
320.89
322.13
322.16
321.87
321.39
318.8
317.81
317.3
318.87
319.42
320.62
321.59
322.39
323.87
324.01
323.75
322.4
320.37
318.64
318.1
319.78
321.08
322.06
322.5
323.04
324.42
325
324.09
322.55
320.92
319.31
319.31
320.72
321.96
322.57
323.15
323.89
325.02
325.57
325.36
324.14
322.03
320.41
320.25
321.31
322.84
324
324.42
325.64
326.66
327.34
326.76
325.88
323.67
322.38
321.78
322.85
324.12
325.03
325.99
326.87
328.14
328.07
327.66
326.35
324.69
323.1
323.16
323.98
325.13
326.17
326.68
327.18
327.78
328.92
328.57
327.34
325.46
323.36
323.56
324.8
326.01
326.77
327.63
327.75
329.72
330.07
329.09
328.05
326.32
324.93
325.06
326.5
327.55
328.55
329.56
330.3
331.5
332.48
332.07
330.87
329.31
327.51
327.18
328.16
328.64
329.35
330.71
331.48
332.65
333.15
332.13
330.99
329.17
327.41
327.21
328.34
329.5
330.68
331.41
331.85
333.29
333.91
333.4
331.74
329.88
328.57
328.35
329.33
330.58
331.66
332.75
333.46
334.78
334.79
334.05
332.95
330.64
328.96
328.77
330.18
331.65
332.69
333.23
334.97
336.03
336.82
336.1
334.79
332.53
331.19
331.21
332.35
333.47
335.09
335.26
336.62
337.77
338
337.98
336.48
334.37
332.33
332.4
333.76
334.83
336.21
336.64
338.13
338.96
339.02
339.2
337.6
335.56
333.93
334.12
335.26
336.77
337.8
338.28
340.04
340.86
341.47
341.26
339.34
337.45
336.1
336.05
337.21
338.29
339.36
340.51
341.57
342.56
343.01
342.52
340.71
338.51
336.96
337.13
338.58
339.91
340.92
341.69
342.87
343.83
344.3
343.42
341.85
339.82
337.98
338.09
339.24
340.67
341.42
342.67

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159210&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159210&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159210&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.515535367609422
beta0.0123628025155223
gamma0.481071338275109

\begin{tabular}{lllllllll}
\hline
Estimated Parameters of Exponential Smoothing \tabularnewline
Parameter & Value \tabularnewline
alpha & 0.515535367609422 \tabularnewline
beta & 0.0123628025155223 \tabularnewline
gamma & 0.481071338275109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159210&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]0.515535367609422[/C][/ROW]
[ROW][C]beta[/C][C]0.0123628025155223[/C][/ROW]
[ROW][C]gamma[/C][C]0.481071338275109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159210&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159210&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
alpha0.515535367609422
beta0.0123628025155223
gamma0.481071338275109






Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13316.71316.4487045940170.261295405982935
14317.72317.6000726028910.119927397109166
15318.29318.2047414227090.0852585772907446
16318.16318.0812472987220.0787527012779492
17316.55316.5024010928970.047598907102838
18314.8314.7815473741630.0184526258374262
19313.84313.91703532371-0.0770353237098789
20313.26313.286971543048-0.0269715430480915
21314.8314.021295509850.778704490149607
22315.59315.753853676698-0.163853676698466
23316.43316.613612124001-0.183612124001456
24316.97317.320764148027-0.350764148026997
25317.58317.5724891860120.00751081398800579
26319.02318.5622032809210.457796719079283
27320.02319.3372576337050.682742366294974
28319.59319.5283612359620.0616387640377525
29318.18317.9414123223110.23858767768894
30315.91316.321425336462-0.411425336462287
31314.16315.219499723542-1.05949972354199
32313.83314.09480541323-0.264805413229681
33315314.8929709389630.107029061037338
34316.19316.0539820545070.136017945493279
35316.93317.060041130621-0.13004113062135
36317.7317.752506681921-0.0525066819211588
37318.54318.2400478004480.299952199552195
38319.48319.485887703647-0.0058877036470335
39320.58320.0717847309320.508215269068444
40319.77320.024507522295-0.254507522295512
41318.58318.3101489053190.269851094680917
42316.79316.5493200200770.240679979922675
43314.8315.631226453407-0.831226453407169
44315.38314.8095732994970.570426700503219
45316.1316.130459472427-0.0304594724271965
46317.01317.23193876513-0.221938765129835
47317.94317.993760969915-0.0537609699154586
48318.55318.746418894611-0.19641889461127
49319.68319.2437926629970.436207337003452
50320.63320.4913453471910.138654652809237
51321.01321.275246311939-0.26524631193945
52320.55320.650200286594-0.100200286594315
53319.58319.1373237925050.442676207495424
54317.4317.459618371525-0.0596183715245502
55316.26316.1358004199660.124199580034485
56315.42316.138375450858-0.718375450858275
57316.69316.6515807560620.038419243938165
58317.7317.741167888556-0.0411678885561173
59318.74318.6337568532460.106243146753741
60319.08319.435051308992-0.355051308992472
61319.86319.99647148367-0.136471483670448
62321.39320.8741756571120.515824342887811
63322.24321.7555267407580.484473259242236
64321.47321.557371734682-0.0873717346819376
65319.74320.179632582881-0.439632582881245
66317.77317.92637647197-0.156376471970077
67316.21316.591277102375-0.381277102375236
68315.99316.129426942812-0.139426942811951
69317.12317.1137088885070.00629111149345363
70318.31318.1642074111120.145792588887957
71319.57319.1847519365580.385248063442134
72320.08320.0213661950850.0586338049147344
73320.75320.848628076899-0.0986280768986489
74321.8321.899738198292-0.0997381982918455
75322.24322.454385940167-0.214385940166494
76321.89321.7561624482610.133837551738793
77320.44320.4052692556080.0347307443915383
78318.7318.4605071866670.239492813333413
79316.7317.277526410712-0.577526410711869
80316.79316.7700678759570.0199321240430095
81317.79317.870681064406-0.0806810644056668
82318.71318.908515199973-0.198515199972576
83319.44319.804830779354-0.364830779353838
84320.44320.1713167915070.268683208493258
85320.89321.0642388492-0.174238849200322
86322.13322.0696523695570.0603476304431183
87322.16322.674672434717-0.514672434717227
88321.87321.895446904823-0.0254469048230703
89321.39320.4309723021020.95902769789825
90318.8319.007964638071-0.207964638070507
91317.81317.3985600607590.411439939240722
92317.3317.541169221317-0.24116922131725
93318.87318.4830378505570.386962149442525
94319.42319.736787978144-0.316787978143566
95320.62320.5349061415240.0850938584762844
96321.59321.2853980967930.304601903206844
97322.39322.0982439275140.291756072486294
98323.87323.4061722555290.463827744471473
99324.01324.095361538893-0.0853615388930962
100323.75323.6643933645240.085606635476438
101322.4322.500234753768-0.100234753768234
102320.37320.2660273344490.103972665550884
103318.64318.970654417318-0.330654417318101
104318.1318.582716800347-0.482716800347191
105319.78319.5490407372480.230959262752094
106321.08320.5599421773480.520057822651779
107322.06321.8900747222610.169925277739139
108322.5322.742927308623-0.242927308622939
109323.04323.274486973114-0.234486973114031
110324.42324.3518461684960.0681538315044463
111325324.7071589562380.292841043761825
112324.09324.511526822406-0.421526822406349
113322.55323.039891247263-0.489891247263074
114320.92320.6471925073010.272807492699371
115319.31319.333438282081-0.0234382820811447
116319.31319.0662729538370.243727046163201
117320.72320.5758966301110.14410336988874
118321.96321.6113065538670.348693446133211
119322.57322.772307774811-0.202307774810947
120323.15323.335484055896-0.185484055895529
121323.89323.89743425111-0.00743425111039642
122325.02325.162637733353-0.142637733353467
123325.57325.4605590965920.109440903407631
124325.36325.0016297917940.358370208206225
125324.14323.9188403366030.221159663397145
126322.03322.077716246834-0.047716246834284
127320.41320.534880831012-0.12488083101232
128320.25320.282241620204-0.0322416202035924
129321.31321.62917355505-0.319173555049872
130322.84322.4732757081010.366724291898947
131324323.5151155997860.484884400214412
132324.42324.440825120639-0.0208251206390173
133325.64325.134549319160.505450680839488
134326.66326.6413110215730.0186889784270079
135327.34327.0908388825840.249161117416406
136326.76326.772533673491-0.0125336734909638
137325.88325.4747650467730.40523495322708
138323.67323.675260173685-0.00526017368537168
139322.38322.1459854862550.234014513745024
140321.78322.111904866269-0.331904866268758
141322.85323.247511625465-0.397511625464972
142324.12324.220619976269-0.100619976269115
143325.03325.05562289095-0.025622890950217
144325.99325.6035893369680.386410663032336
145326.87326.6358115896910.234188410309287
146328.14327.893452126330.246547873669613
147328.07328.519785673969-0.449785673968734
148327.66327.781324897216-0.121324897216198
149326.35326.525310530002-0.175310530001866
150324.69324.3276169787060.362383021293908
151323.1323.0427582561030.0572417438966113
152323.16322.7836410826220.3763589173779
153323.98324.271596910119-0.291596910119267
154325.13325.371681746113-0.241681746113215
155326.17326.1537217793490.0162782206506904
156326.68326.821866645398-0.141866645398011
157327.18327.54544660696-0.365446606960006
158327.78328.492193430807-0.71219343080719
159328.92328.4512213273610.468778672638848
160328.57328.2579674584720.312032541528083
161327.34327.2106469207920.129353079208272
162325.46325.2951407032530.164859296747352
163323.36323.835882260562-0.47588226056223
164323.56323.3714446614670.188555338533376
165324.8324.6008587407790.199141259221335
166326.01325.9626502834550.047349716544943
167326.77326.952739561247-0.182739561246592
168327.63327.4790803479340.150919652066307
169327.75328.301014251863-0.551014251862739
170329.72329.069618412930.650381587070115
171330.07330.0133635670570.0566364329426392
172329.09329.575499316278-0.485499316278435
173328.05328.073759304012-0.0237593040115485
174326.32326.0859295882860.234070411713788
175324.93324.511796696110.418203303890266
176325.06324.6676227489620.392377251038226
177326.5326.0103561939240.489643806076231
178327.55327.4941615175390.0558384824612972
179328.55328.4426823702860.107317629713805
180329.56329.2058502603950.354149739605248
181330.3329.9797866504050.320213349595406
182331.5331.4939163073030.00608369269701825
183332.48331.9793943173610.500605682638991
184332.07331.6591609394610.410839060539161
185330.87330.7479422048130.122057795186947
186329.31328.9171191121480.392880887852016
187327.51327.4905276282090.0194723717906413
188327.18327.454988016081-0.274988016080954
189328.16328.492300083694-0.332300083693951
190328.64329.461981954577-0.821981954576813
191329.35329.975079656263-0.625079656263438
192330.71330.4186566284860.291343371513619
193331.48331.1523631247180.327636875281883
194332.65332.5972137785910.0527862214084962
195333.15333.222426167459-0.0724261674587297
196332.13332.582604479722-0.452604479721685
197330.99331.150194052702-0.160194052702366
198329.17329.226427757372-0.0564277573715799
199327.41327.467759792999-0.0577597929991498
200327.21327.309869861818-0.0998698618182061
201328.34328.411313507217-0.0713135072173259
202329.5329.3902895602120.109710439787705
203330.68330.4244088337270.255591166272552
204331.41331.536009850503-0.126009850502498
205331.85332.060778313141-0.210778313140622
206333.29333.1583317444240.131668255575846
207333.91333.7898632135750.120136786424951
208333.4333.156771552970.24322844702948
209331.74332.151734397973-0.411734397973419
210329.88330.12136797592-0.241367975920014
211328.57328.2647614638290.305238536171316
212328.35328.2842244296180.0657755703824137
213329.33329.478803969997-0.148803969997402
214330.58330.460611291960.11938870804039
215331.66331.5343715313290.12562846867138
216332.75332.4898593690650.260140630935155
217333.46333.1962307688370.263769231163451
218334.78334.6235510708590.156448929140822
219334.79335.270637773559-0.480637773559408
220334.05334.358152027895-0.30815202789455
221332.95332.9143360058150.0356639941848584
222330.64331.155300953827-0.515300953827364
223328.96329.284095363677-0.324095363677316
224328.77328.918523507597-0.148523507596622
225330.18329.9464669106660.233533089333889
226331.65331.184177818840.465822181159581
227332.69332.4364887727750.253511227224976
228333.23333.488567186758-0.258567186757489
229334.97333.9243788966691.04562110333126
230336.03335.7307491512920.299250848707857
231336.82336.3048746540970.515125345902788
232336.1335.9541864462960.145813553704329
233334.79334.835676086869-0.0456760868690935
234332.53332.916919791703-0.386919791702894
235331.19331.1679016953920.0220983046081642
236331.21331.0353702056560.174629794344185
237332.35332.3346592134070.015340786592617
238333.47333.528337158992-0.0583371589922308
239335.09334.4719182139520.618081786048208
240335.26335.605897582236-0.345897582236091
241336.62336.3133855645720.306614435427548
242337.77337.5728525179530.19714748204683
243338338.15203287868-0.152032878679563
244337.98337.3744569416670.60554305833324
245336.48336.4543829962870.0256170037130232
246334.37334.499362800388-0.129362800388208
247332.33332.986605514262-0.656605514262196
248332.4332.543556286714-0.143556286713761
249333.76333.6434857301880.116514269812058
250334.83334.87459631354-0.0445963135402394
251336.21335.9854420842860.224557915713831
252336.64336.691904101816-0.0519041018163193
253338.13337.7049307944980.425069205502155
254338.96339.002606631299-0.0426066312994067
255339.02339.377930365434-0.357930365434072
256339.2338.6705827010210.529417298978501
257337.6337.5754328040230.024567195977454
258335.56335.583073117794-0.0230731177940697
259333.93334.002230721654-0.0722307216537388
260334.12333.9837432290090.136256770990826
261335.26335.294045711863-0.0340457118625181
262336.77336.4145358837340.355464116266035
263337.8337.801453708029-0.00145370802857769
264338.28338.332622575878-0.0526225758783312
265340.04339.4620953070890.577904692910693
266340.86340.7361919063940.123808093605987
267341.47341.1315051113670.33849488863325
268341.26341.0021217911120.257878208888258
269339.34339.659717275859-0.31971727585875
270337.45337.486964120602-0.0369641206022493
271336.1335.895615617430.204384382569572
272336.05336.078198480394-0.0281984803935416
273337.21337.2728542338-0.0628542337997828
274338.29338.477915757018-0.18791575701789
275339.36339.506698032798-0.14669803279827
276340.51339.9553170776040.554682922396125
277341.57341.5529541723520.0170458276476211
278342.56342.4366258168310.123374183168835
279343.01342.8862982148240.12370178517557
280342.52342.630571333623-0.110571333623454
281340.71340.964432730867-0.254432730866654
282338.51338.892481455853-0.382481455852655
283336.96337.178299939937-0.218299939937197
284337.13337.0851181012710.0448818987288178
285338.58338.3061884634810.273811536518679
286339.91339.6546277595650.255372240434781
287340.92340.923333998575-0.00333399857487393
288341.69341.6120283165060.077971683493729
289342.87342.8382635640360.0317364359641488
290343.83343.7540459306370.0759540693633198
291344.3344.1788017936850.121198206315398
292343.42343.866621958729-0.44662195872877
293341.85341.991004838331-0.141004838331185
294339.82339.945705380654-0.12570538065421
295337.98338.401821071402-0.421821071402348
296338.09338.263413033645-0.173413033644806
297339.24339.422266597317-0.182266597317323
298340.67340.5253443374590.144655662541368
299341.42341.670032363294-0.250032363293997
300342.67342.2422765999820.427723400018181

\begin{tabular}{lllllllll}
\hline
Interpolation Forecasts of Exponential Smoothing \tabularnewline
t & Observed & Fitted & Residuals \tabularnewline
13 & 316.71 & 316.448704594017 & 0.261295405982935 \tabularnewline
14 & 317.72 & 317.600072602891 & 0.119927397109166 \tabularnewline
15 & 318.29 & 318.204741422709 & 0.0852585772907446 \tabularnewline
16 & 318.16 & 318.081247298722 & 0.0787527012779492 \tabularnewline
17 & 316.55 & 316.502401092897 & 0.047598907102838 \tabularnewline
18 & 314.8 & 314.781547374163 & 0.0184526258374262 \tabularnewline
19 & 313.84 & 313.91703532371 & -0.0770353237098789 \tabularnewline
20 & 313.26 & 313.286971543048 & -0.0269715430480915 \tabularnewline
21 & 314.8 & 314.02129550985 & 0.778704490149607 \tabularnewline
22 & 315.59 & 315.753853676698 & -0.163853676698466 \tabularnewline
23 & 316.43 & 316.613612124001 & -0.183612124001456 \tabularnewline
24 & 316.97 & 317.320764148027 & -0.350764148026997 \tabularnewline
25 & 317.58 & 317.572489186012 & 0.00751081398800579 \tabularnewline
26 & 319.02 & 318.562203280921 & 0.457796719079283 \tabularnewline
27 & 320.02 & 319.337257633705 & 0.682742366294974 \tabularnewline
28 & 319.59 & 319.528361235962 & 0.0616387640377525 \tabularnewline
29 & 318.18 & 317.941412322311 & 0.23858767768894 \tabularnewline
30 & 315.91 & 316.321425336462 & -0.411425336462287 \tabularnewline
31 & 314.16 & 315.219499723542 & -1.05949972354199 \tabularnewline
32 & 313.83 & 314.09480541323 & -0.264805413229681 \tabularnewline
33 & 315 & 314.892970938963 & 0.107029061037338 \tabularnewline
34 & 316.19 & 316.053982054507 & 0.136017945493279 \tabularnewline
35 & 316.93 & 317.060041130621 & -0.13004113062135 \tabularnewline
36 & 317.7 & 317.752506681921 & -0.0525066819211588 \tabularnewline
37 & 318.54 & 318.240047800448 & 0.299952199552195 \tabularnewline
38 & 319.48 & 319.485887703647 & -0.0058877036470335 \tabularnewline
39 & 320.58 & 320.071784730932 & 0.508215269068444 \tabularnewline
40 & 319.77 & 320.024507522295 & -0.254507522295512 \tabularnewline
41 & 318.58 & 318.310148905319 & 0.269851094680917 \tabularnewline
42 & 316.79 & 316.549320020077 & 0.240679979922675 \tabularnewline
43 & 314.8 & 315.631226453407 & -0.831226453407169 \tabularnewline
44 & 315.38 & 314.809573299497 & 0.570426700503219 \tabularnewline
45 & 316.1 & 316.130459472427 & -0.0304594724271965 \tabularnewline
46 & 317.01 & 317.23193876513 & -0.221938765129835 \tabularnewline
47 & 317.94 & 317.993760969915 & -0.0537609699154586 \tabularnewline
48 & 318.55 & 318.746418894611 & -0.19641889461127 \tabularnewline
49 & 319.68 & 319.243792662997 & 0.436207337003452 \tabularnewline
50 & 320.63 & 320.491345347191 & 0.138654652809237 \tabularnewline
51 & 321.01 & 321.275246311939 & -0.26524631193945 \tabularnewline
52 & 320.55 & 320.650200286594 & -0.100200286594315 \tabularnewline
53 & 319.58 & 319.137323792505 & 0.442676207495424 \tabularnewline
54 & 317.4 & 317.459618371525 & -0.0596183715245502 \tabularnewline
55 & 316.26 & 316.135800419966 & 0.124199580034485 \tabularnewline
56 & 315.42 & 316.138375450858 & -0.718375450858275 \tabularnewline
57 & 316.69 & 316.651580756062 & 0.038419243938165 \tabularnewline
58 & 317.7 & 317.741167888556 & -0.0411678885561173 \tabularnewline
59 & 318.74 & 318.633756853246 & 0.106243146753741 \tabularnewline
60 & 319.08 & 319.435051308992 & -0.355051308992472 \tabularnewline
61 & 319.86 & 319.99647148367 & -0.136471483670448 \tabularnewline
62 & 321.39 & 320.874175657112 & 0.515824342887811 \tabularnewline
63 & 322.24 & 321.755526740758 & 0.484473259242236 \tabularnewline
64 & 321.47 & 321.557371734682 & -0.0873717346819376 \tabularnewline
65 & 319.74 & 320.179632582881 & -0.439632582881245 \tabularnewline
66 & 317.77 & 317.92637647197 & -0.156376471970077 \tabularnewline
67 & 316.21 & 316.591277102375 & -0.381277102375236 \tabularnewline
68 & 315.99 & 316.129426942812 & -0.139426942811951 \tabularnewline
69 & 317.12 & 317.113708888507 & 0.00629111149345363 \tabularnewline
70 & 318.31 & 318.164207411112 & 0.145792588887957 \tabularnewline
71 & 319.57 & 319.184751936558 & 0.385248063442134 \tabularnewline
72 & 320.08 & 320.021366195085 & 0.0586338049147344 \tabularnewline
73 & 320.75 & 320.848628076899 & -0.0986280768986489 \tabularnewline
74 & 321.8 & 321.899738198292 & -0.0997381982918455 \tabularnewline
75 & 322.24 & 322.454385940167 & -0.214385940166494 \tabularnewline
76 & 321.89 & 321.756162448261 & 0.133837551738793 \tabularnewline
77 & 320.44 & 320.405269255608 & 0.0347307443915383 \tabularnewline
78 & 318.7 & 318.460507186667 & 0.239492813333413 \tabularnewline
79 & 316.7 & 317.277526410712 & -0.577526410711869 \tabularnewline
80 & 316.79 & 316.770067875957 & 0.0199321240430095 \tabularnewline
81 & 317.79 & 317.870681064406 & -0.0806810644056668 \tabularnewline
82 & 318.71 & 318.908515199973 & -0.198515199972576 \tabularnewline
83 & 319.44 & 319.804830779354 & -0.364830779353838 \tabularnewline
84 & 320.44 & 320.171316791507 & 0.268683208493258 \tabularnewline
85 & 320.89 & 321.0642388492 & -0.174238849200322 \tabularnewline
86 & 322.13 & 322.069652369557 & 0.0603476304431183 \tabularnewline
87 & 322.16 & 322.674672434717 & -0.514672434717227 \tabularnewline
88 & 321.87 & 321.895446904823 & -0.0254469048230703 \tabularnewline
89 & 321.39 & 320.430972302102 & 0.95902769789825 \tabularnewline
90 & 318.8 & 319.007964638071 & -0.207964638070507 \tabularnewline
91 & 317.81 & 317.398560060759 & 0.411439939240722 \tabularnewline
92 & 317.3 & 317.541169221317 & -0.24116922131725 \tabularnewline
93 & 318.87 & 318.483037850557 & 0.386962149442525 \tabularnewline
94 & 319.42 & 319.736787978144 & -0.316787978143566 \tabularnewline
95 & 320.62 & 320.534906141524 & 0.0850938584762844 \tabularnewline
96 & 321.59 & 321.285398096793 & 0.304601903206844 \tabularnewline
97 & 322.39 & 322.098243927514 & 0.291756072486294 \tabularnewline
98 & 323.87 & 323.406172255529 & 0.463827744471473 \tabularnewline
99 & 324.01 & 324.095361538893 & -0.0853615388930962 \tabularnewline
100 & 323.75 & 323.664393364524 & 0.085606635476438 \tabularnewline
101 & 322.4 & 322.500234753768 & -0.100234753768234 \tabularnewline
102 & 320.37 & 320.266027334449 & 0.103972665550884 \tabularnewline
103 & 318.64 & 318.970654417318 & -0.330654417318101 \tabularnewline
104 & 318.1 & 318.582716800347 & -0.482716800347191 \tabularnewline
105 & 319.78 & 319.549040737248 & 0.230959262752094 \tabularnewline
106 & 321.08 & 320.559942177348 & 0.520057822651779 \tabularnewline
107 & 322.06 & 321.890074722261 & 0.169925277739139 \tabularnewline
108 & 322.5 & 322.742927308623 & -0.242927308622939 \tabularnewline
109 & 323.04 & 323.274486973114 & -0.234486973114031 \tabularnewline
110 & 324.42 & 324.351846168496 & 0.0681538315044463 \tabularnewline
111 & 325 & 324.707158956238 & 0.292841043761825 \tabularnewline
112 & 324.09 & 324.511526822406 & -0.421526822406349 \tabularnewline
113 & 322.55 & 323.039891247263 & -0.489891247263074 \tabularnewline
114 & 320.92 & 320.647192507301 & 0.272807492699371 \tabularnewline
115 & 319.31 & 319.333438282081 & -0.0234382820811447 \tabularnewline
116 & 319.31 & 319.066272953837 & 0.243727046163201 \tabularnewline
117 & 320.72 & 320.575896630111 & 0.14410336988874 \tabularnewline
118 & 321.96 & 321.611306553867 & 0.348693446133211 \tabularnewline
119 & 322.57 & 322.772307774811 & -0.202307774810947 \tabularnewline
120 & 323.15 & 323.335484055896 & -0.185484055895529 \tabularnewline
121 & 323.89 & 323.89743425111 & -0.00743425111039642 \tabularnewline
122 & 325.02 & 325.162637733353 & -0.142637733353467 \tabularnewline
123 & 325.57 & 325.460559096592 & 0.109440903407631 \tabularnewline
124 & 325.36 & 325.001629791794 & 0.358370208206225 \tabularnewline
125 & 324.14 & 323.918840336603 & 0.221159663397145 \tabularnewline
126 & 322.03 & 322.077716246834 & -0.047716246834284 \tabularnewline
127 & 320.41 & 320.534880831012 & -0.12488083101232 \tabularnewline
128 & 320.25 & 320.282241620204 & -0.0322416202035924 \tabularnewline
129 & 321.31 & 321.62917355505 & -0.319173555049872 \tabularnewline
130 & 322.84 & 322.473275708101 & 0.366724291898947 \tabularnewline
131 & 324 & 323.515115599786 & 0.484884400214412 \tabularnewline
132 & 324.42 & 324.440825120639 & -0.0208251206390173 \tabularnewline
133 & 325.64 & 325.13454931916 & 0.505450680839488 \tabularnewline
134 & 326.66 & 326.641311021573 & 0.0186889784270079 \tabularnewline
135 & 327.34 & 327.090838882584 & 0.249161117416406 \tabularnewline
136 & 326.76 & 326.772533673491 & -0.0125336734909638 \tabularnewline
137 & 325.88 & 325.474765046773 & 0.40523495322708 \tabularnewline
138 & 323.67 & 323.675260173685 & -0.00526017368537168 \tabularnewline
139 & 322.38 & 322.145985486255 & 0.234014513745024 \tabularnewline
140 & 321.78 & 322.111904866269 & -0.331904866268758 \tabularnewline
141 & 322.85 & 323.247511625465 & -0.397511625464972 \tabularnewline
142 & 324.12 & 324.220619976269 & -0.100619976269115 \tabularnewline
143 & 325.03 & 325.05562289095 & -0.025622890950217 \tabularnewline
144 & 325.99 & 325.603589336968 & 0.386410663032336 \tabularnewline
145 & 326.87 & 326.635811589691 & 0.234188410309287 \tabularnewline
146 & 328.14 & 327.89345212633 & 0.246547873669613 \tabularnewline
147 & 328.07 & 328.519785673969 & -0.449785673968734 \tabularnewline
148 & 327.66 & 327.781324897216 & -0.121324897216198 \tabularnewline
149 & 326.35 & 326.525310530002 & -0.175310530001866 \tabularnewline
150 & 324.69 & 324.327616978706 & 0.362383021293908 \tabularnewline
151 & 323.1 & 323.042758256103 & 0.0572417438966113 \tabularnewline
152 & 323.16 & 322.783641082622 & 0.3763589173779 \tabularnewline
153 & 323.98 & 324.271596910119 & -0.291596910119267 \tabularnewline
154 & 325.13 & 325.371681746113 & -0.241681746113215 \tabularnewline
155 & 326.17 & 326.153721779349 & 0.0162782206506904 \tabularnewline
156 & 326.68 & 326.821866645398 & -0.141866645398011 \tabularnewline
157 & 327.18 & 327.54544660696 & -0.365446606960006 \tabularnewline
158 & 327.78 & 328.492193430807 & -0.71219343080719 \tabularnewline
159 & 328.92 & 328.451221327361 & 0.468778672638848 \tabularnewline
160 & 328.57 & 328.257967458472 & 0.312032541528083 \tabularnewline
161 & 327.34 & 327.210646920792 & 0.129353079208272 \tabularnewline
162 & 325.46 & 325.295140703253 & 0.164859296747352 \tabularnewline
163 & 323.36 & 323.835882260562 & -0.47588226056223 \tabularnewline
164 & 323.56 & 323.371444661467 & 0.188555338533376 \tabularnewline
165 & 324.8 & 324.600858740779 & 0.199141259221335 \tabularnewline
166 & 326.01 & 325.962650283455 & 0.047349716544943 \tabularnewline
167 & 326.77 & 326.952739561247 & -0.182739561246592 \tabularnewline
168 & 327.63 & 327.479080347934 & 0.150919652066307 \tabularnewline
169 & 327.75 & 328.301014251863 & -0.551014251862739 \tabularnewline
170 & 329.72 & 329.06961841293 & 0.650381587070115 \tabularnewline
171 & 330.07 & 330.013363567057 & 0.0566364329426392 \tabularnewline
172 & 329.09 & 329.575499316278 & -0.485499316278435 \tabularnewline
173 & 328.05 & 328.073759304012 & -0.0237593040115485 \tabularnewline
174 & 326.32 & 326.085929588286 & 0.234070411713788 \tabularnewline
175 & 324.93 & 324.51179669611 & 0.418203303890266 \tabularnewline
176 & 325.06 & 324.667622748962 & 0.392377251038226 \tabularnewline
177 & 326.5 & 326.010356193924 & 0.489643806076231 \tabularnewline
178 & 327.55 & 327.494161517539 & 0.0558384824612972 \tabularnewline
179 & 328.55 & 328.442682370286 & 0.107317629713805 \tabularnewline
180 & 329.56 & 329.205850260395 & 0.354149739605248 \tabularnewline
181 & 330.3 & 329.979786650405 & 0.320213349595406 \tabularnewline
182 & 331.5 & 331.493916307303 & 0.00608369269701825 \tabularnewline
183 & 332.48 & 331.979394317361 & 0.500605682638991 \tabularnewline
184 & 332.07 & 331.659160939461 & 0.410839060539161 \tabularnewline
185 & 330.87 & 330.747942204813 & 0.122057795186947 \tabularnewline
186 & 329.31 & 328.917119112148 & 0.392880887852016 \tabularnewline
187 & 327.51 & 327.490527628209 & 0.0194723717906413 \tabularnewline
188 & 327.18 & 327.454988016081 & -0.274988016080954 \tabularnewline
189 & 328.16 & 328.492300083694 & -0.332300083693951 \tabularnewline
190 & 328.64 & 329.461981954577 & -0.821981954576813 \tabularnewline
191 & 329.35 & 329.975079656263 & -0.625079656263438 \tabularnewline
192 & 330.71 & 330.418656628486 & 0.291343371513619 \tabularnewline
193 & 331.48 & 331.152363124718 & 0.327636875281883 \tabularnewline
194 & 332.65 & 332.597213778591 & 0.0527862214084962 \tabularnewline
195 & 333.15 & 333.222426167459 & -0.0724261674587297 \tabularnewline
196 & 332.13 & 332.582604479722 & -0.452604479721685 \tabularnewline
197 & 330.99 & 331.150194052702 & -0.160194052702366 \tabularnewline
198 & 329.17 & 329.226427757372 & -0.0564277573715799 \tabularnewline
199 & 327.41 & 327.467759792999 & -0.0577597929991498 \tabularnewline
200 & 327.21 & 327.309869861818 & -0.0998698618182061 \tabularnewline
201 & 328.34 & 328.411313507217 & -0.0713135072173259 \tabularnewline
202 & 329.5 & 329.390289560212 & 0.109710439787705 \tabularnewline
203 & 330.68 & 330.424408833727 & 0.255591166272552 \tabularnewline
204 & 331.41 & 331.536009850503 & -0.126009850502498 \tabularnewline
205 & 331.85 & 332.060778313141 & -0.210778313140622 \tabularnewline
206 & 333.29 & 333.158331744424 & 0.131668255575846 \tabularnewline
207 & 333.91 & 333.789863213575 & 0.120136786424951 \tabularnewline
208 & 333.4 & 333.15677155297 & 0.24322844702948 \tabularnewline
209 & 331.74 & 332.151734397973 & -0.411734397973419 \tabularnewline
210 & 329.88 & 330.12136797592 & -0.241367975920014 \tabularnewline
211 & 328.57 & 328.264761463829 & 0.305238536171316 \tabularnewline
212 & 328.35 & 328.284224429618 & 0.0657755703824137 \tabularnewline
213 & 329.33 & 329.478803969997 & -0.148803969997402 \tabularnewline
214 & 330.58 & 330.46061129196 & 0.11938870804039 \tabularnewline
215 & 331.66 & 331.534371531329 & 0.12562846867138 \tabularnewline
216 & 332.75 & 332.489859369065 & 0.260140630935155 \tabularnewline
217 & 333.46 & 333.196230768837 & 0.263769231163451 \tabularnewline
218 & 334.78 & 334.623551070859 & 0.156448929140822 \tabularnewline
219 & 334.79 & 335.270637773559 & -0.480637773559408 \tabularnewline
220 & 334.05 & 334.358152027895 & -0.30815202789455 \tabularnewline
221 & 332.95 & 332.914336005815 & 0.0356639941848584 \tabularnewline
222 & 330.64 & 331.155300953827 & -0.515300953827364 \tabularnewline
223 & 328.96 & 329.284095363677 & -0.324095363677316 \tabularnewline
224 & 328.77 & 328.918523507597 & -0.148523507596622 \tabularnewline
225 & 330.18 & 329.946466910666 & 0.233533089333889 \tabularnewline
226 & 331.65 & 331.18417781884 & 0.465822181159581 \tabularnewline
227 & 332.69 & 332.436488772775 & 0.253511227224976 \tabularnewline
228 & 333.23 & 333.488567186758 & -0.258567186757489 \tabularnewline
229 & 334.97 & 333.924378896669 & 1.04562110333126 \tabularnewline
230 & 336.03 & 335.730749151292 & 0.299250848707857 \tabularnewline
231 & 336.82 & 336.304874654097 & 0.515125345902788 \tabularnewline
232 & 336.1 & 335.954186446296 & 0.145813553704329 \tabularnewline
233 & 334.79 & 334.835676086869 & -0.0456760868690935 \tabularnewline
234 & 332.53 & 332.916919791703 & -0.386919791702894 \tabularnewline
235 & 331.19 & 331.167901695392 & 0.0220983046081642 \tabularnewline
236 & 331.21 & 331.035370205656 & 0.174629794344185 \tabularnewline
237 & 332.35 & 332.334659213407 & 0.015340786592617 \tabularnewline
238 & 333.47 & 333.528337158992 & -0.0583371589922308 \tabularnewline
239 & 335.09 & 334.471918213952 & 0.618081786048208 \tabularnewline
240 & 335.26 & 335.605897582236 & -0.345897582236091 \tabularnewline
241 & 336.62 & 336.313385564572 & 0.306614435427548 \tabularnewline
242 & 337.77 & 337.572852517953 & 0.19714748204683 \tabularnewline
243 & 338 & 338.15203287868 & -0.152032878679563 \tabularnewline
244 & 337.98 & 337.374456941667 & 0.60554305833324 \tabularnewline
245 & 336.48 & 336.454382996287 & 0.0256170037130232 \tabularnewline
246 & 334.37 & 334.499362800388 & -0.129362800388208 \tabularnewline
247 & 332.33 & 332.986605514262 & -0.656605514262196 \tabularnewline
248 & 332.4 & 332.543556286714 & -0.143556286713761 \tabularnewline
249 & 333.76 & 333.643485730188 & 0.116514269812058 \tabularnewline
250 & 334.83 & 334.87459631354 & -0.0445963135402394 \tabularnewline
251 & 336.21 & 335.985442084286 & 0.224557915713831 \tabularnewline
252 & 336.64 & 336.691904101816 & -0.0519041018163193 \tabularnewline
253 & 338.13 & 337.704930794498 & 0.425069205502155 \tabularnewline
254 & 338.96 & 339.002606631299 & -0.0426066312994067 \tabularnewline
255 & 339.02 & 339.377930365434 & -0.357930365434072 \tabularnewline
256 & 339.2 & 338.670582701021 & 0.529417298978501 \tabularnewline
257 & 337.6 & 337.575432804023 & 0.024567195977454 \tabularnewline
258 & 335.56 & 335.583073117794 & -0.0230731177940697 \tabularnewline
259 & 333.93 & 334.002230721654 & -0.0722307216537388 \tabularnewline
260 & 334.12 & 333.983743229009 & 0.136256770990826 \tabularnewline
261 & 335.26 & 335.294045711863 & -0.0340457118625181 \tabularnewline
262 & 336.77 & 336.414535883734 & 0.355464116266035 \tabularnewline
263 & 337.8 & 337.801453708029 & -0.00145370802857769 \tabularnewline
264 & 338.28 & 338.332622575878 & -0.0526225758783312 \tabularnewline
265 & 340.04 & 339.462095307089 & 0.577904692910693 \tabularnewline
266 & 340.86 & 340.736191906394 & 0.123808093605987 \tabularnewline
267 & 341.47 & 341.131505111367 & 0.33849488863325 \tabularnewline
268 & 341.26 & 341.002121791112 & 0.257878208888258 \tabularnewline
269 & 339.34 & 339.659717275859 & -0.31971727585875 \tabularnewline
270 & 337.45 & 337.486964120602 & -0.0369641206022493 \tabularnewline
271 & 336.1 & 335.89561561743 & 0.204384382569572 \tabularnewline
272 & 336.05 & 336.078198480394 & -0.0281984803935416 \tabularnewline
273 & 337.21 & 337.2728542338 & -0.0628542337997828 \tabularnewline
274 & 338.29 & 338.477915757018 & -0.18791575701789 \tabularnewline
275 & 339.36 & 339.506698032798 & -0.14669803279827 \tabularnewline
276 & 340.51 & 339.955317077604 & 0.554682922396125 \tabularnewline
277 & 341.57 & 341.552954172352 & 0.0170458276476211 \tabularnewline
278 & 342.56 & 342.436625816831 & 0.123374183168835 \tabularnewline
279 & 343.01 & 342.886298214824 & 0.12370178517557 \tabularnewline
280 & 342.52 & 342.630571333623 & -0.110571333623454 \tabularnewline
281 & 340.71 & 340.964432730867 & -0.254432730866654 \tabularnewline
282 & 338.51 & 338.892481455853 & -0.382481455852655 \tabularnewline
283 & 336.96 & 337.178299939937 & -0.218299939937197 \tabularnewline
284 & 337.13 & 337.085118101271 & 0.0448818987288178 \tabularnewline
285 & 338.58 & 338.306188463481 & 0.273811536518679 \tabularnewline
286 & 339.91 & 339.654627759565 & 0.255372240434781 \tabularnewline
287 & 340.92 & 340.923333998575 & -0.00333399857487393 \tabularnewline
288 & 341.69 & 341.612028316506 & 0.077971683493729 \tabularnewline
289 & 342.87 & 342.838263564036 & 0.0317364359641488 \tabularnewline
290 & 343.83 & 343.754045930637 & 0.0759540693633198 \tabularnewline
291 & 344.3 & 344.178801793685 & 0.121198206315398 \tabularnewline
292 & 343.42 & 343.866621958729 & -0.44662195872877 \tabularnewline
293 & 341.85 & 341.991004838331 & -0.141004838331185 \tabularnewline
294 & 339.82 & 339.945705380654 & -0.12570538065421 \tabularnewline
295 & 337.98 & 338.401821071402 & -0.421821071402348 \tabularnewline
296 & 338.09 & 338.263413033645 & -0.173413033644806 \tabularnewline
297 & 339.24 & 339.422266597317 & -0.182266597317323 \tabularnewline
298 & 340.67 & 340.525344337459 & 0.144655662541368 \tabularnewline
299 & 341.42 & 341.670032363294 & -0.250032363293997 \tabularnewline
300 & 342.67 & 342.242276599982 & 0.427723400018181 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159210&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]316.71[/C][C]316.448704594017[/C][C]0.261295405982935[/C][/ROW]
[ROW][C]14[/C][C]317.72[/C][C]317.600072602891[/C][C]0.119927397109166[/C][/ROW]
[ROW][C]15[/C][C]318.29[/C][C]318.204741422709[/C][C]0.0852585772907446[/C][/ROW]
[ROW][C]16[/C][C]318.16[/C][C]318.081247298722[/C][C]0.0787527012779492[/C][/ROW]
[ROW][C]17[/C][C]316.55[/C][C]316.502401092897[/C][C]0.047598907102838[/C][/ROW]
[ROW][C]18[/C][C]314.8[/C][C]314.781547374163[/C][C]0.0184526258374262[/C][/ROW]
[ROW][C]19[/C][C]313.84[/C][C]313.91703532371[/C][C]-0.0770353237098789[/C][/ROW]
[ROW][C]20[/C][C]313.26[/C][C]313.286971543048[/C][C]-0.0269715430480915[/C][/ROW]
[ROW][C]21[/C][C]314.8[/C][C]314.02129550985[/C][C]0.778704490149607[/C][/ROW]
[ROW][C]22[/C][C]315.59[/C][C]315.753853676698[/C][C]-0.163853676698466[/C][/ROW]
[ROW][C]23[/C][C]316.43[/C][C]316.613612124001[/C][C]-0.183612124001456[/C][/ROW]
[ROW][C]24[/C][C]316.97[/C][C]317.320764148027[/C][C]-0.350764148026997[/C][/ROW]
[ROW][C]25[/C][C]317.58[/C][C]317.572489186012[/C][C]0.00751081398800579[/C][/ROW]
[ROW][C]26[/C][C]319.02[/C][C]318.562203280921[/C][C]0.457796719079283[/C][/ROW]
[ROW][C]27[/C][C]320.02[/C][C]319.337257633705[/C][C]0.682742366294974[/C][/ROW]
[ROW][C]28[/C][C]319.59[/C][C]319.528361235962[/C][C]0.0616387640377525[/C][/ROW]
[ROW][C]29[/C][C]318.18[/C][C]317.941412322311[/C][C]0.23858767768894[/C][/ROW]
[ROW][C]30[/C][C]315.91[/C][C]316.321425336462[/C][C]-0.411425336462287[/C][/ROW]
[ROW][C]31[/C][C]314.16[/C][C]315.219499723542[/C][C]-1.05949972354199[/C][/ROW]
[ROW][C]32[/C][C]313.83[/C][C]314.09480541323[/C][C]-0.264805413229681[/C][/ROW]
[ROW][C]33[/C][C]315[/C][C]314.892970938963[/C][C]0.107029061037338[/C][/ROW]
[ROW][C]34[/C][C]316.19[/C][C]316.053982054507[/C][C]0.136017945493279[/C][/ROW]
[ROW][C]35[/C][C]316.93[/C][C]317.060041130621[/C][C]-0.13004113062135[/C][/ROW]
[ROW][C]36[/C][C]317.7[/C][C]317.752506681921[/C][C]-0.0525066819211588[/C][/ROW]
[ROW][C]37[/C][C]318.54[/C][C]318.240047800448[/C][C]0.299952199552195[/C][/ROW]
[ROW][C]38[/C][C]319.48[/C][C]319.485887703647[/C][C]-0.0058877036470335[/C][/ROW]
[ROW][C]39[/C][C]320.58[/C][C]320.071784730932[/C][C]0.508215269068444[/C][/ROW]
[ROW][C]40[/C][C]319.77[/C][C]320.024507522295[/C][C]-0.254507522295512[/C][/ROW]
[ROW][C]41[/C][C]318.58[/C][C]318.310148905319[/C][C]0.269851094680917[/C][/ROW]
[ROW][C]42[/C][C]316.79[/C][C]316.549320020077[/C][C]0.240679979922675[/C][/ROW]
[ROW][C]43[/C][C]314.8[/C][C]315.631226453407[/C][C]-0.831226453407169[/C][/ROW]
[ROW][C]44[/C][C]315.38[/C][C]314.809573299497[/C][C]0.570426700503219[/C][/ROW]
[ROW][C]45[/C][C]316.1[/C][C]316.130459472427[/C][C]-0.0304594724271965[/C][/ROW]
[ROW][C]46[/C][C]317.01[/C][C]317.23193876513[/C][C]-0.221938765129835[/C][/ROW]
[ROW][C]47[/C][C]317.94[/C][C]317.993760969915[/C][C]-0.0537609699154586[/C][/ROW]
[ROW][C]48[/C][C]318.55[/C][C]318.746418894611[/C][C]-0.19641889461127[/C][/ROW]
[ROW][C]49[/C][C]319.68[/C][C]319.243792662997[/C][C]0.436207337003452[/C][/ROW]
[ROW][C]50[/C][C]320.63[/C][C]320.491345347191[/C][C]0.138654652809237[/C][/ROW]
[ROW][C]51[/C][C]321.01[/C][C]321.275246311939[/C][C]-0.26524631193945[/C][/ROW]
[ROW][C]52[/C][C]320.55[/C][C]320.650200286594[/C][C]-0.100200286594315[/C][/ROW]
[ROW][C]53[/C][C]319.58[/C][C]319.137323792505[/C][C]0.442676207495424[/C][/ROW]
[ROW][C]54[/C][C]317.4[/C][C]317.459618371525[/C][C]-0.0596183715245502[/C][/ROW]
[ROW][C]55[/C][C]316.26[/C][C]316.135800419966[/C][C]0.124199580034485[/C][/ROW]
[ROW][C]56[/C][C]315.42[/C][C]316.138375450858[/C][C]-0.718375450858275[/C][/ROW]
[ROW][C]57[/C][C]316.69[/C][C]316.651580756062[/C][C]0.038419243938165[/C][/ROW]
[ROW][C]58[/C][C]317.7[/C][C]317.741167888556[/C][C]-0.0411678885561173[/C][/ROW]
[ROW][C]59[/C][C]318.74[/C][C]318.633756853246[/C][C]0.106243146753741[/C][/ROW]
[ROW][C]60[/C][C]319.08[/C][C]319.435051308992[/C][C]-0.355051308992472[/C][/ROW]
[ROW][C]61[/C][C]319.86[/C][C]319.99647148367[/C][C]-0.136471483670448[/C][/ROW]
[ROW][C]62[/C][C]321.39[/C][C]320.874175657112[/C][C]0.515824342887811[/C][/ROW]
[ROW][C]63[/C][C]322.24[/C][C]321.755526740758[/C][C]0.484473259242236[/C][/ROW]
[ROW][C]64[/C][C]321.47[/C][C]321.557371734682[/C][C]-0.0873717346819376[/C][/ROW]
[ROW][C]65[/C][C]319.74[/C][C]320.179632582881[/C][C]-0.439632582881245[/C][/ROW]
[ROW][C]66[/C][C]317.77[/C][C]317.92637647197[/C][C]-0.156376471970077[/C][/ROW]
[ROW][C]67[/C][C]316.21[/C][C]316.591277102375[/C][C]-0.381277102375236[/C][/ROW]
[ROW][C]68[/C][C]315.99[/C][C]316.129426942812[/C][C]-0.139426942811951[/C][/ROW]
[ROW][C]69[/C][C]317.12[/C][C]317.113708888507[/C][C]0.00629111149345363[/C][/ROW]
[ROW][C]70[/C][C]318.31[/C][C]318.164207411112[/C][C]0.145792588887957[/C][/ROW]
[ROW][C]71[/C][C]319.57[/C][C]319.184751936558[/C][C]0.385248063442134[/C][/ROW]
[ROW][C]72[/C][C]320.08[/C][C]320.021366195085[/C][C]0.0586338049147344[/C][/ROW]
[ROW][C]73[/C][C]320.75[/C][C]320.848628076899[/C][C]-0.0986280768986489[/C][/ROW]
[ROW][C]74[/C][C]321.8[/C][C]321.899738198292[/C][C]-0.0997381982918455[/C][/ROW]
[ROW][C]75[/C][C]322.24[/C][C]322.454385940167[/C][C]-0.214385940166494[/C][/ROW]
[ROW][C]76[/C][C]321.89[/C][C]321.756162448261[/C][C]0.133837551738793[/C][/ROW]
[ROW][C]77[/C][C]320.44[/C][C]320.405269255608[/C][C]0.0347307443915383[/C][/ROW]
[ROW][C]78[/C][C]318.7[/C][C]318.460507186667[/C][C]0.239492813333413[/C][/ROW]
[ROW][C]79[/C][C]316.7[/C][C]317.277526410712[/C][C]-0.577526410711869[/C][/ROW]
[ROW][C]80[/C][C]316.79[/C][C]316.770067875957[/C][C]0.0199321240430095[/C][/ROW]
[ROW][C]81[/C][C]317.79[/C][C]317.870681064406[/C][C]-0.0806810644056668[/C][/ROW]
[ROW][C]82[/C][C]318.71[/C][C]318.908515199973[/C][C]-0.198515199972576[/C][/ROW]
[ROW][C]83[/C][C]319.44[/C][C]319.804830779354[/C][C]-0.364830779353838[/C][/ROW]
[ROW][C]84[/C][C]320.44[/C][C]320.171316791507[/C][C]0.268683208493258[/C][/ROW]
[ROW][C]85[/C][C]320.89[/C][C]321.0642388492[/C][C]-0.174238849200322[/C][/ROW]
[ROW][C]86[/C][C]322.13[/C][C]322.069652369557[/C][C]0.0603476304431183[/C][/ROW]
[ROW][C]87[/C][C]322.16[/C][C]322.674672434717[/C][C]-0.514672434717227[/C][/ROW]
[ROW][C]88[/C][C]321.87[/C][C]321.895446904823[/C][C]-0.0254469048230703[/C][/ROW]
[ROW][C]89[/C][C]321.39[/C][C]320.430972302102[/C][C]0.95902769789825[/C][/ROW]
[ROW][C]90[/C][C]318.8[/C][C]319.007964638071[/C][C]-0.207964638070507[/C][/ROW]
[ROW][C]91[/C][C]317.81[/C][C]317.398560060759[/C][C]0.411439939240722[/C][/ROW]
[ROW][C]92[/C][C]317.3[/C][C]317.541169221317[/C][C]-0.24116922131725[/C][/ROW]
[ROW][C]93[/C][C]318.87[/C][C]318.483037850557[/C][C]0.386962149442525[/C][/ROW]
[ROW][C]94[/C][C]319.42[/C][C]319.736787978144[/C][C]-0.316787978143566[/C][/ROW]
[ROW][C]95[/C][C]320.62[/C][C]320.534906141524[/C][C]0.0850938584762844[/C][/ROW]
[ROW][C]96[/C][C]321.59[/C][C]321.285398096793[/C][C]0.304601903206844[/C][/ROW]
[ROW][C]97[/C][C]322.39[/C][C]322.098243927514[/C][C]0.291756072486294[/C][/ROW]
[ROW][C]98[/C][C]323.87[/C][C]323.406172255529[/C][C]0.463827744471473[/C][/ROW]
[ROW][C]99[/C][C]324.01[/C][C]324.095361538893[/C][C]-0.0853615388930962[/C][/ROW]
[ROW][C]100[/C][C]323.75[/C][C]323.664393364524[/C][C]0.085606635476438[/C][/ROW]
[ROW][C]101[/C][C]322.4[/C][C]322.500234753768[/C][C]-0.100234753768234[/C][/ROW]
[ROW][C]102[/C][C]320.37[/C][C]320.266027334449[/C][C]0.103972665550884[/C][/ROW]
[ROW][C]103[/C][C]318.64[/C][C]318.970654417318[/C][C]-0.330654417318101[/C][/ROW]
[ROW][C]104[/C][C]318.1[/C][C]318.582716800347[/C][C]-0.482716800347191[/C][/ROW]
[ROW][C]105[/C][C]319.78[/C][C]319.549040737248[/C][C]0.230959262752094[/C][/ROW]
[ROW][C]106[/C][C]321.08[/C][C]320.559942177348[/C][C]0.520057822651779[/C][/ROW]
[ROW][C]107[/C][C]322.06[/C][C]321.890074722261[/C][C]0.169925277739139[/C][/ROW]
[ROW][C]108[/C][C]322.5[/C][C]322.742927308623[/C][C]-0.242927308622939[/C][/ROW]
[ROW][C]109[/C][C]323.04[/C][C]323.274486973114[/C][C]-0.234486973114031[/C][/ROW]
[ROW][C]110[/C][C]324.42[/C][C]324.351846168496[/C][C]0.0681538315044463[/C][/ROW]
[ROW][C]111[/C][C]325[/C][C]324.707158956238[/C][C]0.292841043761825[/C][/ROW]
[ROW][C]112[/C][C]324.09[/C][C]324.511526822406[/C][C]-0.421526822406349[/C][/ROW]
[ROW][C]113[/C][C]322.55[/C][C]323.039891247263[/C][C]-0.489891247263074[/C][/ROW]
[ROW][C]114[/C][C]320.92[/C][C]320.647192507301[/C][C]0.272807492699371[/C][/ROW]
[ROW][C]115[/C][C]319.31[/C][C]319.333438282081[/C][C]-0.0234382820811447[/C][/ROW]
[ROW][C]116[/C][C]319.31[/C][C]319.066272953837[/C][C]0.243727046163201[/C][/ROW]
[ROW][C]117[/C][C]320.72[/C][C]320.575896630111[/C][C]0.14410336988874[/C][/ROW]
[ROW][C]118[/C][C]321.96[/C][C]321.611306553867[/C][C]0.348693446133211[/C][/ROW]
[ROW][C]119[/C][C]322.57[/C][C]322.772307774811[/C][C]-0.202307774810947[/C][/ROW]
[ROW][C]120[/C][C]323.15[/C][C]323.335484055896[/C][C]-0.185484055895529[/C][/ROW]
[ROW][C]121[/C][C]323.89[/C][C]323.89743425111[/C][C]-0.00743425111039642[/C][/ROW]
[ROW][C]122[/C][C]325.02[/C][C]325.162637733353[/C][C]-0.142637733353467[/C][/ROW]
[ROW][C]123[/C][C]325.57[/C][C]325.460559096592[/C][C]0.109440903407631[/C][/ROW]
[ROW][C]124[/C][C]325.36[/C][C]325.001629791794[/C][C]0.358370208206225[/C][/ROW]
[ROW][C]125[/C][C]324.14[/C][C]323.918840336603[/C][C]0.221159663397145[/C][/ROW]
[ROW][C]126[/C][C]322.03[/C][C]322.077716246834[/C][C]-0.047716246834284[/C][/ROW]
[ROW][C]127[/C][C]320.41[/C][C]320.534880831012[/C][C]-0.12488083101232[/C][/ROW]
[ROW][C]128[/C][C]320.25[/C][C]320.282241620204[/C][C]-0.0322416202035924[/C][/ROW]
[ROW][C]129[/C][C]321.31[/C][C]321.62917355505[/C][C]-0.319173555049872[/C][/ROW]
[ROW][C]130[/C][C]322.84[/C][C]322.473275708101[/C][C]0.366724291898947[/C][/ROW]
[ROW][C]131[/C][C]324[/C][C]323.515115599786[/C][C]0.484884400214412[/C][/ROW]
[ROW][C]132[/C][C]324.42[/C][C]324.440825120639[/C][C]-0.0208251206390173[/C][/ROW]
[ROW][C]133[/C][C]325.64[/C][C]325.13454931916[/C][C]0.505450680839488[/C][/ROW]
[ROW][C]134[/C][C]326.66[/C][C]326.641311021573[/C][C]0.0186889784270079[/C][/ROW]
[ROW][C]135[/C][C]327.34[/C][C]327.090838882584[/C][C]0.249161117416406[/C][/ROW]
[ROW][C]136[/C][C]326.76[/C][C]326.772533673491[/C][C]-0.0125336734909638[/C][/ROW]
[ROW][C]137[/C][C]325.88[/C][C]325.474765046773[/C][C]0.40523495322708[/C][/ROW]
[ROW][C]138[/C][C]323.67[/C][C]323.675260173685[/C][C]-0.00526017368537168[/C][/ROW]
[ROW][C]139[/C][C]322.38[/C][C]322.145985486255[/C][C]0.234014513745024[/C][/ROW]
[ROW][C]140[/C][C]321.78[/C][C]322.111904866269[/C][C]-0.331904866268758[/C][/ROW]
[ROW][C]141[/C][C]322.85[/C][C]323.247511625465[/C][C]-0.397511625464972[/C][/ROW]
[ROW][C]142[/C][C]324.12[/C][C]324.220619976269[/C][C]-0.100619976269115[/C][/ROW]
[ROW][C]143[/C][C]325.03[/C][C]325.05562289095[/C][C]-0.025622890950217[/C][/ROW]
[ROW][C]144[/C][C]325.99[/C][C]325.603589336968[/C][C]0.386410663032336[/C][/ROW]
[ROW][C]145[/C][C]326.87[/C][C]326.635811589691[/C][C]0.234188410309287[/C][/ROW]
[ROW][C]146[/C][C]328.14[/C][C]327.89345212633[/C][C]0.246547873669613[/C][/ROW]
[ROW][C]147[/C][C]328.07[/C][C]328.519785673969[/C][C]-0.449785673968734[/C][/ROW]
[ROW][C]148[/C][C]327.66[/C][C]327.781324897216[/C][C]-0.121324897216198[/C][/ROW]
[ROW][C]149[/C][C]326.35[/C][C]326.525310530002[/C][C]-0.175310530001866[/C][/ROW]
[ROW][C]150[/C][C]324.69[/C][C]324.327616978706[/C][C]0.362383021293908[/C][/ROW]
[ROW][C]151[/C][C]323.1[/C][C]323.042758256103[/C][C]0.0572417438966113[/C][/ROW]
[ROW][C]152[/C][C]323.16[/C][C]322.783641082622[/C][C]0.3763589173779[/C][/ROW]
[ROW][C]153[/C][C]323.98[/C][C]324.271596910119[/C][C]-0.291596910119267[/C][/ROW]
[ROW][C]154[/C][C]325.13[/C][C]325.371681746113[/C][C]-0.241681746113215[/C][/ROW]
[ROW][C]155[/C][C]326.17[/C][C]326.153721779349[/C][C]0.0162782206506904[/C][/ROW]
[ROW][C]156[/C][C]326.68[/C][C]326.821866645398[/C][C]-0.141866645398011[/C][/ROW]
[ROW][C]157[/C][C]327.18[/C][C]327.54544660696[/C][C]-0.365446606960006[/C][/ROW]
[ROW][C]158[/C][C]327.78[/C][C]328.492193430807[/C][C]-0.71219343080719[/C][/ROW]
[ROW][C]159[/C][C]328.92[/C][C]328.451221327361[/C][C]0.468778672638848[/C][/ROW]
[ROW][C]160[/C][C]328.57[/C][C]328.257967458472[/C][C]0.312032541528083[/C][/ROW]
[ROW][C]161[/C][C]327.34[/C][C]327.210646920792[/C][C]0.129353079208272[/C][/ROW]
[ROW][C]162[/C][C]325.46[/C][C]325.295140703253[/C][C]0.164859296747352[/C][/ROW]
[ROW][C]163[/C][C]323.36[/C][C]323.835882260562[/C][C]-0.47588226056223[/C][/ROW]
[ROW][C]164[/C][C]323.56[/C][C]323.371444661467[/C][C]0.188555338533376[/C][/ROW]
[ROW][C]165[/C][C]324.8[/C][C]324.600858740779[/C][C]0.199141259221335[/C][/ROW]
[ROW][C]166[/C][C]326.01[/C][C]325.962650283455[/C][C]0.047349716544943[/C][/ROW]
[ROW][C]167[/C][C]326.77[/C][C]326.952739561247[/C][C]-0.182739561246592[/C][/ROW]
[ROW][C]168[/C][C]327.63[/C][C]327.479080347934[/C][C]0.150919652066307[/C][/ROW]
[ROW][C]169[/C][C]327.75[/C][C]328.301014251863[/C][C]-0.551014251862739[/C][/ROW]
[ROW][C]170[/C][C]329.72[/C][C]329.06961841293[/C][C]0.650381587070115[/C][/ROW]
[ROW][C]171[/C][C]330.07[/C][C]330.013363567057[/C][C]0.0566364329426392[/C][/ROW]
[ROW][C]172[/C][C]329.09[/C][C]329.575499316278[/C][C]-0.485499316278435[/C][/ROW]
[ROW][C]173[/C][C]328.05[/C][C]328.073759304012[/C][C]-0.0237593040115485[/C][/ROW]
[ROW][C]174[/C][C]326.32[/C][C]326.085929588286[/C][C]0.234070411713788[/C][/ROW]
[ROW][C]175[/C][C]324.93[/C][C]324.51179669611[/C][C]0.418203303890266[/C][/ROW]
[ROW][C]176[/C][C]325.06[/C][C]324.667622748962[/C][C]0.392377251038226[/C][/ROW]
[ROW][C]177[/C][C]326.5[/C][C]326.010356193924[/C][C]0.489643806076231[/C][/ROW]
[ROW][C]178[/C][C]327.55[/C][C]327.494161517539[/C][C]0.0558384824612972[/C][/ROW]
[ROW][C]179[/C][C]328.55[/C][C]328.442682370286[/C][C]0.107317629713805[/C][/ROW]
[ROW][C]180[/C][C]329.56[/C][C]329.205850260395[/C][C]0.354149739605248[/C][/ROW]
[ROW][C]181[/C][C]330.3[/C][C]329.979786650405[/C][C]0.320213349595406[/C][/ROW]
[ROW][C]182[/C][C]331.5[/C][C]331.493916307303[/C][C]0.00608369269701825[/C][/ROW]
[ROW][C]183[/C][C]332.48[/C][C]331.979394317361[/C][C]0.500605682638991[/C][/ROW]
[ROW][C]184[/C][C]332.07[/C][C]331.659160939461[/C][C]0.410839060539161[/C][/ROW]
[ROW][C]185[/C][C]330.87[/C][C]330.747942204813[/C][C]0.122057795186947[/C][/ROW]
[ROW][C]186[/C][C]329.31[/C][C]328.917119112148[/C][C]0.392880887852016[/C][/ROW]
[ROW][C]187[/C][C]327.51[/C][C]327.490527628209[/C][C]0.0194723717906413[/C][/ROW]
[ROW][C]188[/C][C]327.18[/C][C]327.454988016081[/C][C]-0.274988016080954[/C][/ROW]
[ROW][C]189[/C][C]328.16[/C][C]328.492300083694[/C][C]-0.332300083693951[/C][/ROW]
[ROW][C]190[/C][C]328.64[/C][C]329.461981954577[/C][C]-0.821981954576813[/C][/ROW]
[ROW][C]191[/C][C]329.35[/C][C]329.975079656263[/C][C]-0.625079656263438[/C][/ROW]
[ROW][C]192[/C][C]330.71[/C][C]330.418656628486[/C][C]0.291343371513619[/C][/ROW]
[ROW][C]193[/C][C]331.48[/C][C]331.152363124718[/C][C]0.327636875281883[/C][/ROW]
[ROW][C]194[/C][C]332.65[/C][C]332.597213778591[/C][C]0.0527862214084962[/C][/ROW]
[ROW][C]195[/C][C]333.15[/C][C]333.222426167459[/C][C]-0.0724261674587297[/C][/ROW]
[ROW][C]196[/C][C]332.13[/C][C]332.582604479722[/C][C]-0.452604479721685[/C][/ROW]
[ROW][C]197[/C][C]330.99[/C][C]331.150194052702[/C][C]-0.160194052702366[/C][/ROW]
[ROW][C]198[/C][C]329.17[/C][C]329.226427757372[/C][C]-0.0564277573715799[/C][/ROW]
[ROW][C]199[/C][C]327.41[/C][C]327.467759792999[/C][C]-0.0577597929991498[/C][/ROW]
[ROW][C]200[/C][C]327.21[/C][C]327.309869861818[/C][C]-0.0998698618182061[/C][/ROW]
[ROW][C]201[/C][C]328.34[/C][C]328.411313507217[/C][C]-0.0713135072173259[/C][/ROW]
[ROW][C]202[/C][C]329.5[/C][C]329.390289560212[/C][C]0.109710439787705[/C][/ROW]
[ROW][C]203[/C][C]330.68[/C][C]330.424408833727[/C][C]0.255591166272552[/C][/ROW]
[ROW][C]204[/C][C]331.41[/C][C]331.536009850503[/C][C]-0.126009850502498[/C][/ROW]
[ROW][C]205[/C][C]331.85[/C][C]332.060778313141[/C][C]-0.210778313140622[/C][/ROW]
[ROW][C]206[/C][C]333.29[/C][C]333.158331744424[/C][C]0.131668255575846[/C][/ROW]
[ROW][C]207[/C][C]333.91[/C][C]333.789863213575[/C][C]0.120136786424951[/C][/ROW]
[ROW][C]208[/C][C]333.4[/C][C]333.15677155297[/C][C]0.24322844702948[/C][/ROW]
[ROW][C]209[/C][C]331.74[/C][C]332.151734397973[/C][C]-0.411734397973419[/C][/ROW]
[ROW][C]210[/C][C]329.88[/C][C]330.12136797592[/C][C]-0.241367975920014[/C][/ROW]
[ROW][C]211[/C][C]328.57[/C][C]328.264761463829[/C][C]0.305238536171316[/C][/ROW]
[ROW][C]212[/C][C]328.35[/C][C]328.284224429618[/C][C]0.0657755703824137[/C][/ROW]
[ROW][C]213[/C][C]329.33[/C][C]329.478803969997[/C][C]-0.148803969997402[/C][/ROW]
[ROW][C]214[/C][C]330.58[/C][C]330.46061129196[/C][C]0.11938870804039[/C][/ROW]
[ROW][C]215[/C][C]331.66[/C][C]331.534371531329[/C][C]0.12562846867138[/C][/ROW]
[ROW][C]216[/C][C]332.75[/C][C]332.489859369065[/C][C]0.260140630935155[/C][/ROW]
[ROW][C]217[/C][C]333.46[/C][C]333.196230768837[/C][C]0.263769231163451[/C][/ROW]
[ROW][C]218[/C][C]334.78[/C][C]334.623551070859[/C][C]0.156448929140822[/C][/ROW]
[ROW][C]219[/C][C]334.79[/C][C]335.270637773559[/C][C]-0.480637773559408[/C][/ROW]
[ROW][C]220[/C][C]334.05[/C][C]334.358152027895[/C][C]-0.30815202789455[/C][/ROW]
[ROW][C]221[/C][C]332.95[/C][C]332.914336005815[/C][C]0.0356639941848584[/C][/ROW]
[ROW][C]222[/C][C]330.64[/C][C]331.155300953827[/C][C]-0.515300953827364[/C][/ROW]
[ROW][C]223[/C][C]328.96[/C][C]329.284095363677[/C][C]-0.324095363677316[/C][/ROW]
[ROW][C]224[/C][C]328.77[/C][C]328.918523507597[/C][C]-0.148523507596622[/C][/ROW]
[ROW][C]225[/C][C]330.18[/C][C]329.946466910666[/C][C]0.233533089333889[/C][/ROW]
[ROW][C]226[/C][C]331.65[/C][C]331.18417781884[/C][C]0.465822181159581[/C][/ROW]
[ROW][C]227[/C][C]332.69[/C][C]332.436488772775[/C][C]0.253511227224976[/C][/ROW]
[ROW][C]228[/C][C]333.23[/C][C]333.488567186758[/C][C]-0.258567186757489[/C][/ROW]
[ROW][C]229[/C][C]334.97[/C][C]333.924378896669[/C][C]1.04562110333126[/C][/ROW]
[ROW][C]230[/C][C]336.03[/C][C]335.730749151292[/C][C]0.299250848707857[/C][/ROW]
[ROW][C]231[/C][C]336.82[/C][C]336.304874654097[/C][C]0.515125345902788[/C][/ROW]
[ROW][C]232[/C][C]336.1[/C][C]335.954186446296[/C][C]0.145813553704329[/C][/ROW]
[ROW][C]233[/C][C]334.79[/C][C]334.835676086869[/C][C]-0.0456760868690935[/C][/ROW]
[ROW][C]234[/C][C]332.53[/C][C]332.916919791703[/C][C]-0.386919791702894[/C][/ROW]
[ROW][C]235[/C][C]331.19[/C][C]331.167901695392[/C][C]0.0220983046081642[/C][/ROW]
[ROW][C]236[/C][C]331.21[/C][C]331.035370205656[/C][C]0.174629794344185[/C][/ROW]
[ROW][C]237[/C][C]332.35[/C][C]332.334659213407[/C][C]0.015340786592617[/C][/ROW]
[ROW][C]238[/C][C]333.47[/C][C]333.528337158992[/C][C]-0.0583371589922308[/C][/ROW]
[ROW][C]239[/C][C]335.09[/C][C]334.471918213952[/C][C]0.618081786048208[/C][/ROW]
[ROW][C]240[/C][C]335.26[/C][C]335.605897582236[/C][C]-0.345897582236091[/C][/ROW]
[ROW][C]241[/C][C]336.62[/C][C]336.313385564572[/C][C]0.306614435427548[/C][/ROW]
[ROW][C]242[/C][C]337.77[/C][C]337.572852517953[/C][C]0.19714748204683[/C][/ROW]
[ROW][C]243[/C][C]338[/C][C]338.15203287868[/C][C]-0.152032878679563[/C][/ROW]
[ROW][C]244[/C][C]337.98[/C][C]337.374456941667[/C][C]0.60554305833324[/C][/ROW]
[ROW][C]245[/C][C]336.48[/C][C]336.454382996287[/C][C]0.0256170037130232[/C][/ROW]
[ROW][C]246[/C][C]334.37[/C][C]334.499362800388[/C][C]-0.129362800388208[/C][/ROW]
[ROW][C]247[/C][C]332.33[/C][C]332.986605514262[/C][C]-0.656605514262196[/C][/ROW]
[ROW][C]248[/C][C]332.4[/C][C]332.543556286714[/C][C]-0.143556286713761[/C][/ROW]
[ROW][C]249[/C][C]333.76[/C][C]333.643485730188[/C][C]0.116514269812058[/C][/ROW]
[ROW][C]250[/C][C]334.83[/C][C]334.87459631354[/C][C]-0.0445963135402394[/C][/ROW]
[ROW][C]251[/C][C]336.21[/C][C]335.985442084286[/C][C]0.224557915713831[/C][/ROW]
[ROW][C]252[/C][C]336.64[/C][C]336.691904101816[/C][C]-0.0519041018163193[/C][/ROW]
[ROW][C]253[/C][C]338.13[/C][C]337.704930794498[/C][C]0.425069205502155[/C][/ROW]
[ROW][C]254[/C][C]338.96[/C][C]339.002606631299[/C][C]-0.0426066312994067[/C][/ROW]
[ROW][C]255[/C][C]339.02[/C][C]339.377930365434[/C][C]-0.357930365434072[/C][/ROW]
[ROW][C]256[/C][C]339.2[/C][C]338.670582701021[/C][C]0.529417298978501[/C][/ROW]
[ROW][C]257[/C][C]337.6[/C][C]337.575432804023[/C][C]0.024567195977454[/C][/ROW]
[ROW][C]258[/C][C]335.56[/C][C]335.583073117794[/C][C]-0.0230731177940697[/C][/ROW]
[ROW][C]259[/C][C]333.93[/C][C]334.002230721654[/C][C]-0.0722307216537388[/C][/ROW]
[ROW][C]260[/C][C]334.12[/C][C]333.983743229009[/C][C]0.136256770990826[/C][/ROW]
[ROW][C]261[/C][C]335.26[/C][C]335.294045711863[/C][C]-0.0340457118625181[/C][/ROW]
[ROW][C]262[/C][C]336.77[/C][C]336.414535883734[/C][C]0.355464116266035[/C][/ROW]
[ROW][C]263[/C][C]337.8[/C][C]337.801453708029[/C][C]-0.00145370802857769[/C][/ROW]
[ROW][C]264[/C][C]338.28[/C][C]338.332622575878[/C][C]-0.0526225758783312[/C][/ROW]
[ROW][C]265[/C][C]340.04[/C][C]339.462095307089[/C][C]0.577904692910693[/C][/ROW]
[ROW][C]266[/C][C]340.86[/C][C]340.736191906394[/C][C]0.123808093605987[/C][/ROW]
[ROW][C]267[/C][C]341.47[/C][C]341.131505111367[/C][C]0.33849488863325[/C][/ROW]
[ROW][C]268[/C][C]341.26[/C][C]341.002121791112[/C][C]0.257878208888258[/C][/ROW]
[ROW][C]269[/C][C]339.34[/C][C]339.659717275859[/C][C]-0.31971727585875[/C][/ROW]
[ROW][C]270[/C][C]337.45[/C][C]337.486964120602[/C][C]-0.0369641206022493[/C][/ROW]
[ROW][C]271[/C][C]336.1[/C][C]335.89561561743[/C][C]0.204384382569572[/C][/ROW]
[ROW][C]272[/C][C]336.05[/C][C]336.078198480394[/C][C]-0.0281984803935416[/C][/ROW]
[ROW][C]273[/C][C]337.21[/C][C]337.2728542338[/C][C]-0.0628542337997828[/C][/ROW]
[ROW][C]274[/C][C]338.29[/C][C]338.477915757018[/C][C]-0.18791575701789[/C][/ROW]
[ROW][C]275[/C][C]339.36[/C][C]339.506698032798[/C][C]-0.14669803279827[/C][/ROW]
[ROW][C]276[/C][C]340.51[/C][C]339.955317077604[/C][C]0.554682922396125[/C][/ROW]
[ROW][C]277[/C][C]341.57[/C][C]341.552954172352[/C][C]0.0170458276476211[/C][/ROW]
[ROW][C]278[/C][C]342.56[/C][C]342.436625816831[/C][C]0.123374183168835[/C][/ROW]
[ROW][C]279[/C][C]343.01[/C][C]342.886298214824[/C][C]0.12370178517557[/C][/ROW]
[ROW][C]280[/C][C]342.52[/C][C]342.630571333623[/C][C]-0.110571333623454[/C][/ROW]
[ROW][C]281[/C][C]340.71[/C][C]340.964432730867[/C][C]-0.254432730866654[/C][/ROW]
[ROW][C]282[/C][C]338.51[/C][C]338.892481455853[/C][C]-0.382481455852655[/C][/ROW]
[ROW][C]283[/C][C]336.96[/C][C]337.178299939937[/C][C]-0.218299939937197[/C][/ROW]
[ROW][C]284[/C][C]337.13[/C][C]337.085118101271[/C][C]0.0448818987288178[/C][/ROW]
[ROW][C]285[/C][C]338.58[/C][C]338.306188463481[/C][C]0.273811536518679[/C][/ROW]
[ROW][C]286[/C][C]339.91[/C][C]339.654627759565[/C][C]0.255372240434781[/C][/ROW]
[ROW][C]287[/C][C]340.92[/C][C]340.923333998575[/C][C]-0.00333399857487393[/C][/ROW]
[ROW][C]288[/C][C]341.69[/C][C]341.612028316506[/C][C]0.077971683493729[/C][/ROW]
[ROW][C]289[/C][C]342.87[/C][C]342.838263564036[/C][C]0.0317364359641488[/C][/ROW]
[ROW][C]290[/C][C]343.83[/C][C]343.754045930637[/C][C]0.0759540693633198[/C][/ROW]
[ROW][C]291[/C][C]344.3[/C][C]344.178801793685[/C][C]0.121198206315398[/C][/ROW]
[ROW][C]292[/C][C]343.42[/C][C]343.866621958729[/C][C]-0.44662195872877[/C][/ROW]
[ROW][C]293[/C][C]341.85[/C][C]341.991004838331[/C][C]-0.141004838331185[/C][/ROW]
[ROW][C]294[/C][C]339.82[/C][C]339.945705380654[/C][C]-0.12570538065421[/C][/ROW]
[ROW][C]295[/C][C]337.98[/C][C]338.401821071402[/C][C]-0.421821071402348[/C][/ROW]
[ROW][C]296[/C][C]338.09[/C][C]338.263413033645[/C][C]-0.173413033644806[/C][/ROW]
[ROW][C]297[/C][C]339.24[/C][C]339.422266597317[/C][C]-0.182266597317323[/C][/ROW]
[ROW][C]298[/C][C]340.67[/C][C]340.525344337459[/C][C]0.144655662541368[/C][/ROW]
[ROW][C]299[/C][C]341.42[/C][C]341.670032363294[/C][C]-0.250032363293997[/C][/ROW]
[ROW][C]300[/C][C]342.67[/C][C]342.242276599982[/C][C]0.427723400018181[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159210&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159210&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
13316.71316.4487045940170.261295405982935
14317.72317.6000726028910.119927397109166
15318.29318.2047414227090.0852585772907446
16318.16318.0812472987220.0787527012779492
17316.55316.5024010928970.047598907102838
18314.8314.7815473741630.0184526258374262
19313.84313.91703532371-0.0770353237098789
20313.26313.286971543048-0.0269715430480915
21314.8314.021295509850.778704490149607
22315.59315.753853676698-0.163853676698466
23316.43316.613612124001-0.183612124001456
24316.97317.320764148027-0.350764148026997
25317.58317.5724891860120.00751081398800579
26319.02318.5622032809210.457796719079283
27320.02319.3372576337050.682742366294974
28319.59319.5283612359620.0616387640377525
29318.18317.9414123223110.23858767768894
30315.91316.321425336462-0.411425336462287
31314.16315.219499723542-1.05949972354199
32313.83314.09480541323-0.264805413229681
33315314.8929709389630.107029061037338
34316.19316.0539820545070.136017945493279
35316.93317.060041130621-0.13004113062135
36317.7317.752506681921-0.0525066819211588
37318.54318.2400478004480.299952199552195
38319.48319.485887703647-0.0058877036470335
39320.58320.0717847309320.508215269068444
40319.77320.024507522295-0.254507522295512
41318.58318.3101489053190.269851094680917
42316.79316.5493200200770.240679979922675
43314.8315.631226453407-0.831226453407169
44315.38314.8095732994970.570426700503219
45316.1316.130459472427-0.0304594724271965
46317.01317.23193876513-0.221938765129835
47317.94317.993760969915-0.0537609699154586
48318.55318.746418894611-0.19641889461127
49319.68319.2437926629970.436207337003452
50320.63320.4913453471910.138654652809237
51321.01321.275246311939-0.26524631193945
52320.55320.650200286594-0.100200286594315
53319.58319.1373237925050.442676207495424
54317.4317.459618371525-0.0596183715245502
55316.26316.1358004199660.124199580034485
56315.42316.138375450858-0.718375450858275
57316.69316.6515807560620.038419243938165
58317.7317.741167888556-0.0411678885561173
59318.74318.6337568532460.106243146753741
60319.08319.435051308992-0.355051308992472
61319.86319.99647148367-0.136471483670448
62321.39320.8741756571120.515824342887811
63322.24321.7555267407580.484473259242236
64321.47321.557371734682-0.0873717346819376
65319.74320.179632582881-0.439632582881245
66317.77317.92637647197-0.156376471970077
67316.21316.591277102375-0.381277102375236
68315.99316.129426942812-0.139426942811951
69317.12317.1137088885070.00629111149345363
70318.31318.1642074111120.145792588887957
71319.57319.1847519365580.385248063442134
72320.08320.0213661950850.0586338049147344
73320.75320.848628076899-0.0986280768986489
74321.8321.899738198292-0.0997381982918455
75322.24322.454385940167-0.214385940166494
76321.89321.7561624482610.133837551738793
77320.44320.4052692556080.0347307443915383
78318.7318.4605071866670.239492813333413
79316.7317.277526410712-0.577526410711869
80316.79316.7700678759570.0199321240430095
81317.79317.870681064406-0.0806810644056668
82318.71318.908515199973-0.198515199972576
83319.44319.804830779354-0.364830779353838
84320.44320.1713167915070.268683208493258
85320.89321.0642388492-0.174238849200322
86322.13322.0696523695570.0603476304431183
87322.16322.674672434717-0.514672434717227
88321.87321.895446904823-0.0254469048230703
89321.39320.4309723021020.95902769789825
90318.8319.007964638071-0.207964638070507
91317.81317.3985600607590.411439939240722
92317.3317.541169221317-0.24116922131725
93318.87318.4830378505570.386962149442525
94319.42319.736787978144-0.316787978143566
95320.62320.5349061415240.0850938584762844
96321.59321.2853980967930.304601903206844
97322.39322.0982439275140.291756072486294
98323.87323.4061722555290.463827744471473
99324.01324.095361538893-0.0853615388930962
100323.75323.6643933645240.085606635476438
101322.4322.500234753768-0.100234753768234
102320.37320.2660273344490.103972665550884
103318.64318.970654417318-0.330654417318101
104318.1318.582716800347-0.482716800347191
105319.78319.5490407372480.230959262752094
106321.08320.5599421773480.520057822651779
107322.06321.8900747222610.169925277739139
108322.5322.742927308623-0.242927308622939
109323.04323.274486973114-0.234486973114031
110324.42324.3518461684960.0681538315044463
111325324.7071589562380.292841043761825
112324.09324.511526822406-0.421526822406349
113322.55323.039891247263-0.489891247263074
114320.92320.6471925073010.272807492699371
115319.31319.333438282081-0.0234382820811447
116319.31319.0662729538370.243727046163201
117320.72320.5758966301110.14410336988874
118321.96321.6113065538670.348693446133211
119322.57322.772307774811-0.202307774810947
120323.15323.335484055896-0.185484055895529
121323.89323.89743425111-0.00743425111039642
122325.02325.162637733353-0.142637733353467
123325.57325.4605590965920.109440903407631
124325.36325.0016297917940.358370208206225
125324.14323.9188403366030.221159663397145
126322.03322.077716246834-0.047716246834284
127320.41320.534880831012-0.12488083101232
128320.25320.282241620204-0.0322416202035924
129321.31321.62917355505-0.319173555049872
130322.84322.4732757081010.366724291898947
131324323.5151155997860.484884400214412
132324.42324.440825120639-0.0208251206390173
133325.64325.134549319160.505450680839488
134326.66326.6413110215730.0186889784270079
135327.34327.0908388825840.249161117416406
136326.76326.772533673491-0.0125336734909638
137325.88325.4747650467730.40523495322708
138323.67323.675260173685-0.00526017368537168
139322.38322.1459854862550.234014513745024
140321.78322.111904866269-0.331904866268758
141322.85323.247511625465-0.397511625464972
142324.12324.220619976269-0.100619976269115
143325.03325.05562289095-0.025622890950217
144325.99325.6035893369680.386410663032336
145326.87326.6358115896910.234188410309287
146328.14327.893452126330.246547873669613
147328.07328.519785673969-0.449785673968734
148327.66327.781324897216-0.121324897216198
149326.35326.525310530002-0.175310530001866
150324.69324.3276169787060.362383021293908
151323.1323.0427582561030.0572417438966113
152323.16322.7836410826220.3763589173779
153323.98324.271596910119-0.291596910119267
154325.13325.371681746113-0.241681746113215
155326.17326.1537217793490.0162782206506904
156326.68326.821866645398-0.141866645398011
157327.18327.54544660696-0.365446606960006
158327.78328.492193430807-0.71219343080719
159328.92328.4512213273610.468778672638848
160328.57328.2579674584720.312032541528083
161327.34327.2106469207920.129353079208272
162325.46325.2951407032530.164859296747352
163323.36323.835882260562-0.47588226056223
164323.56323.3714446614670.188555338533376
165324.8324.6008587407790.199141259221335
166326.01325.9626502834550.047349716544943
167326.77326.952739561247-0.182739561246592
168327.63327.4790803479340.150919652066307
169327.75328.301014251863-0.551014251862739
170329.72329.069618412930.650381587070115
171330.07330.0133635670570.0566364329426392
172329.09329.575499316278-0.485499316278435
173328.05328.073759304012-0.0237593040115485
174326.32326.0859295882860.234070411713788
175324.93324.511796696110.418203303890266
176325.06324.6676227489620.392377251038226
177326.5326.0103561939240.489643806076231
178327.55327.4941615175390.0558384824612972
179328.55328.4426823702860.107317629713805
180329.56329.2058502603950.354149739605248
181330.3329.9797866504050.320213349595406
182331.5331.4939163073030.00608369269701825
183332.48331.9793943173610.500605682638991
184332.07331.6591609394610.410839060539161
185330.87330.7479422048130.122057795186947
186329.31328.9171191121480.392880887852016
187327.51327.4905276282090.0194723717906413
188327.18327.454988016081-0.274988016080954
189328.16328.492300083694-0.332300083693951
190328.64329.461981954577-0.821981954576813
191329.35329.975079656263-0.625079656263438
192330.71330.4186566284860.291343371513619
193331.48331.1523631247180.327636875281883
194332.65332.5972137785910.0527862214084962
195333.15333.222426167459-0.0724261674587297
196332.13332.582604479722-0.452604479721685
197330.99331.150194052702-0.160194052702366
198329.17329.226427757372-0.0564277573715799
199327.41327.467759792999-0.0577597929991498
200327.21327.309869861818-0.0998698618182061
201328.34328.411313507217-0.0713135072173259
202329.5329.3902895602120.109710439787705
203330.68330.4244088337270.255591166272552
204331.41331.536009850503-0.126009850502498
205331.85332.060778313141-0.210778313140622
206333.29333.1583317444240.131668255575846
207333.91333.7898632135750.120136786424951
208333.4333.156771552970.24322844702948
209331.74332.151734397973-0.411734397973419
210329.88330.12136797592-0.241367975920014
211328.57328.2647614638290.305238536171316
212328.35328.2842244296180.0657755703824137
213329.33329.478803969997-0.148803969997402
214330.58330.460611291960.11938870804039
215331.66331.5343715313290.12562846867138
216332.75332.4898593690650.260140630935155
217333.46333.1962307688370.263769231163451
218334.78334.6235510708590.156448929140822
219334.79335.270637773559-0.480637773559408
220334.05334.358152027895-0.30815202789455
221332.95332.9143360058150.0356639941848584
222330.64331.155300953827-0.515300953827364
223328.96329.284095363677-0.324095363677316
224328.77328.918523507597-0.148523507596622
225330.18329.9464669106660.233533089333889
226331.65331.184177818840.465822181159581
227332.69332.4364887727750.253511227224976
228333.23333.488567186758-0.258567186757489
229334.97333.9243788966691.04562110333126
230336.03335.7307491512920.299250848707857
231336.82336.3048746540970.515125345902788
232336.1335.9541864462960.145813553704329
233334.79334.835676086869-0.0456760868690935
234332.53332.916919791703-0.386919791702894
235331.19331.1679016953920.0220983046081642
236331.21331.0353702056560.174629794344185
237332.35332.3346592134070.015340786592617
238333.47333.528337158992-0.0583371589922308
239335.09334.4719182139520.618081786048208
240335.26335.605897582236-0.345897582236091
241336.62336.3133855645720.306614435427548
242337.77337.5728525179530.19714748204683
243338338.15203287868-0.152032878679563
244337.98337.3744569416670.60554305833324
245336.48336.4543829962870.0256170037130232
246334.37334.499362800388-0.129362800388208
247332.33332.986605514262-0.656605514262196
248332.4332.543556286714-0.143556286713761
249333.76333.6434857301880.116514269812058
250334.83334.87459631354-0.0445963135402394
251336.21335.9854420842860.224557915713831
252336.64336.691904101816-0.0519041018163193
253338.13337.7049307944980.425069205502155
254338.96339.002606631299-0.0426066312994067
255339.02339.377930365434-0.357930365434072
256339.2338.6705827010210.529417298978501
257337.6337.5754328040230.024567195977454
258335.56335.583073117794-0.0230731177940697
259333.93334.002230721654-0.0722307216537388
260334.12333.9837432290090.136256770990826
261335.26335.294045711863-0.0340457118625181
262336.77336.4145358837340.355464116266035
263337.8337.801453708029-0.00145370802857769
264338.28338.332622575878-0.0526225758783312
265340.04339.4620953070890.577904692910693
266340.86340.7361919063940.123808093605987
267341.47341.1315051113670.33849488863325
268341.26341.0021217911120.257878208888258
269339.34339.659717275859-0.31971727585875
270337.45337.486964120602-0.0369641206022493
271336.1335.895615617430.204384382569572
272336.05336.078198480394-0.0281984803935416
273337.21337.2728542338-0.0628542337997828
274338.29338.477915757018-0.18791575701789
275339.36339.506698032798-0.14669803279827
276340.51339.9553170776040.554682922396125
277341.57341.5529541723520.0170458276476211
278342.56342.4366258168310.123374183168835
279343.01342.8862982148240.12370178517557
280342.52342.630571333623-0.110571333623454
281340.71340.964432730867-0.254432730866654
282338.51338.892481455853-0.382481455852655
283336.96337.178299939937-0.218299939937197
284337.13337.0851181012710.0448818987288178
285338.58338.3061884634810.273811536518679
286339.91339.6546277595650.255372240434781
287340.92340.923333998575-0.00333399857487393
288341.69341.6120283165060.077971683493729
289342.87342.8382635640360.0317364359641488
290343.83343.7540459306370.0759540693633198
291344.3344.1788017936850.121198206315398
292343.42343.866621958729-0.44662195872877
293341.85341.991004838331-0.141004838331185
294339.82339.945705380654-0.12570538065421
295337.98338.401821071402-0.421821071402348
296338.09338.263413033645-0.173413033644806
297339.24339.422266597317-0.182266597317323
298340.67340.5253443374590.144655662541368
299341.42341.670032363294-0.250032363293997
300342.67342.2422765999820.427723400018181






Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
301343.632057057026343.026329386573344.237784727479
302344.535592861015343.852330752884345.218854969145
303344.925061556212344.170578927148345.679544185277
304344.410615126052343.589562992262345.231667259843
305342.83187439949341.947835586358343.715913212623
306340.859131560758339.914955784794341.803307336722
307339.308138584775338.306147450597340.310129718954
308339.444876268237338.386996576363340.502755960111
309340.691959749466339.579814375592341.80410512334
310341.96725000304340.802222230147343.132277775933
311342.946508625733341.729789106854344.163228144611
312343.80833861451342.540960545881345.075716683139

\begin{tabular}{lllllllll}
\hline
Extrapolation Forecasts of Exponential Smoothing \tabularnewline
t & Forecast & 95% Lower Bound & 95% Upper Bound \tabularnewline
301 & 343.632057057026 & 343.026329386573 & 344.237784727479 \tabularnewline
302 & 344.535592861015 & 343.852330752884 & 345.218854969145 \tabularnewline
303 & 344.925061556212 & 344.170578927148 & 345.679544185277 \tabularnewline
304 & 344.410615126052 & 343.589562992262 & 345.231667259843 \tabularnewline
305 & 342.83187439949 & 341.947835586358 & 343.715913212623 \tabularnewline
306 & 340.859131560758 & 339.914955784794 & 341.803307336722 \tabularnewline
307 & 339.308138584775 & 338.306147450597 & 340.310129718954 \tabularnewline
308 & 339.444876268237 & 338.386996576363 & 340.502755960111 \tabularnewline
309 & 340.691959749466 & 339.579814375592 & 341.80410512334 \tabularnewline
310 & 341.96725000304 & 340.802222230147 & 343.132277775933 \tabularnewline
311 & 342.946508625733 & 341.729789106854 & 344.163228144611 \tabularnewline
312 & 343.80833861451 & 342.540960545881 & 345.075716683139 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159210&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]301[/C][C]343.632057057026[/C][C]343.026329386573[/C][C]344.237784727479[/C][/ROW]
[ROW][C]302[/C][C]344.535592861015[/C][C]343.852330752884[/C][C]345.218854969145[/C][/ROW]
[ROW][C]303[/C][C]344.925061556212[/C][C]344.170578927148[/C][C]345.679544185277[/C][/ROW]
[ROW][C]304[/C][C]344.410615126052[/C][C]343.589562992262[/C][C]345.231667259843[/C][/ROW]
[ROW][C]305[/C][C]342.83187439949[/C][C]341.947835586358[/C][C]343.715913212623[/C][/ROW]
[ROW][C]306[/C][C]340.859131560758[/C][C]339.914955784794[/C][C]341.803307336722[/C][/ROW]
[ROW][C]307[/C][C]339.308138584775[/C][C]338.306147450597[/C][C]340.310129718954[/C][/ROW]
[ROW][C]308[/C][C]339.444876268237[/C][C]338.386996576363[/C][C]340.502755960111[/C][/ROW]
[ROW][C]309[/C][C]340.691959749466[/C][C]339.579814375592[/C][C]341.80410512334[/C][/ROW]
[ROW][C]310[/C][C]341.96725000304[/C][C]340.802222230147[/C][C]343.132277775933[/C][/ROW]
[ROW][C]311[/C][C]342.946508625733[/C][C]341.729789106854[/C][C]344.163228144611[/C][/ROW]
[ROW][C]312[/C][C]343.80833861451[/C][C]342.540960545881[/C][C]345.075716683139[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159210&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159210&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
301343.632057057026343.026329386573344.237784727479
302344.535592861015343.852330752884345.218854969145
303344.925061556212344.170578927148345.679544185277
304344.410615126052343.589562992262345.231667259843
305342.83187439949341.947835586358343.715913212623
306340.859131560758339.914955784794341.803307336722
307339.308138584775338.306147450597340.310129718954
308339.444876268237338.386996576363340.502755960111
309340.691959749466339.579814375592341.80410512334
310341.96725000304340.802222230147343.132277775933
311342.946508625733341.729789106854344.163228144611
312343.80833861451342.540960545881345.075716683139


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = Triple ; par3 = additive ;
Parameters (R input):
par1 = 12 ; par2 = Triple ; par3 = additive ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
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')