Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.999932001538549
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
25.93.92
35.75.8998640030771-0.199864003077098
43.65.70001359044471-2.10001359044471
54.93.600142797693181.29985720230682
65.34.899911611710140.400088388289863
78.75.299972794605153.40002720539485
86.88.69976880338114-1.89976880338114
98.96.800129181355742.09987081864426
109.68.899857212015090.700142787984914
1111.29.599952391367621.60004760863238
129.911.1998911992244-1.29989119922436
139.39.9000883906016-0.6000883906016
149.29.3000408050873-0.100040805087296
159.49.200006802620830.199993197379174
1612.79.399986400770283.30001359922972
1713.612.69977560415250.900224395847516
1816.113.59993878612612.50006121387388
1914.816.0998299996839-1.29982999968392
2014.114.8000883864401-0.700088386440127
2113.214.1000476049332-0.900047604933158
228.713.2000612018524-4.50006120185237
234.98.70030599723816-3.80030599723816
24-1.34.90025841496086-6.20025841496086
25-3.9-1.29957839196718-2.60042160803282
26-6-3.89982317533153-2.10017682466847
27-6.6-5.99985719120715-0.600142808792853
28-8.7-6.59995919121235-2.10004080878765
29-11.6-8.69985720045602-2.90014279954398
30-14.6-11.5998027947516-3.00019720524836
31-12.9-14.5997959912061.69979599120599
32-13.8-12.9001155835122-0.899884416487817
33-14.1-13.7999388092442-0.300061190755804
34-13.2-14.09997959630070.899979596300687
35-10.4-13.20006119722792.80006119722789
36-3.3-10.40019039985347.10019039985338
371-3.30048280202324.3004828020232
383.10.9997075737859652.10029242621404
394.53.099857183346421.40014281665358
401.94.49990479244266-2.59990479244266
413.91.900176789525811.99982321047419
4273.899864015098513.10013598490149
435.66.99978919552274-1.39978919552274
448.15.600095183511652.49990481648835
456.18.0998300103187-1.9998300103187
4686.100135985363871.89986401463613
476.57.99987081217004-1.49987081217004
485.66.5001019889076-0.900101988907604
494.85.60006120555039-0.800061205550395
505.14.800054402931040.299945597068955
517.85.099979604160882.70002039583912
5210.37.79981640276722.50018359723281
538.610.299829991362-1.69982999136204
546.88.60011558582414-1.80011558582414
554.96.80012240509027-1.90012240509027
565.44.900129205400120.499870794599885
575.55.399966009555040.100033990444957
584.75.49999319784256-0.799993197842556
594.24.70005439830662-0.500054398306625
6054.200034002929730.799965997070273
6154.999945603542995.43964570143274e-05
6264.999999996301131.00000000369887
632.95.9999320015383-3.0999320015383
643.62.900210790606710.699789209393292
655.13.599952415410421.50004758458958
662.95.09989799907214-2.19989799907214
674.72.900149589679291.79985041032071
6834.69987761294126-1.69987761294126
6953.000115589062341.99988441093766
702.64.99986401093698-2.39986401093698
713.22.600163187060440.599836812939564
722.43.1999592120196-0.799959212019599
733.22.400054395995640.799945604004359
742.63.19994560492968-0.599945604929683
752.42.60004079537809-0.20004079537809
762.12.40001360246631-0.300013602466313
772.72.100020400463380.599979599536618
784.42.699959202310331.70004079768967
794.34.39988439984135-0.0998843998413532
804.24.30000679198551-0.100006791985511
815.54.200006800307991.29999319969201
828.85.499911602462523.30008839753748
8310.18.799775599066321.30022440093368
84710.0999115867412-3.09991158674119
855.77.00021078921853-1.30021078921853
865.25.70008841233323-0.50008841233323
875.55.200034005242630.299965994757372
887.35.499979602773871.80002039722613
895.97.29987760138241-1.39987760138241
907.15.900095189523111.19990481047688
916.97.099918408319-0.199918408318998
926.76.90001359414418-0.200013594144182
934.76.70001360061667-2.00001360061667
946.74.700135997847721.99986400215228
958.56.699864012324741.80013598767526
962.18.49987759352243-6.39987759352243
97-0.92.10043518182984-3.00043518182984
98-4.7-0.899795975023951-3.80020402497605
994.8-4.69974159197319.4997415919731
1002.64.79935403218756-2.19935403218756
1011.72.60014955269038-0.900149552690376
102-1.81.70006120878466-3.50006120878466
1030.2-1.799762001222821.99976200122282
1041.90.1998640192606481.70013598073935
1053.21.899884393369051.30011560663095
1063.13.19991159413904-0.0999115941390403
1074.23.100006793834681.09999320616532
10816.24.1999252021543712.0000747978456
10918.316.19918401337642.10081598662356
11021.618.29985714774513.30014285225488
11112.621.5997755953635-8.99977559536348
1129.812.6006119708939-2.80061197089389
11310.69.800190437305140.799809562694856
1141310.59994561418032.40005438581972
1159.712.9998367999944-3.29983679999436
1167.99.70022438382544-1.80022438382544
1173.37.90012241248837-4.60012241248837
1183.43.300312801246540.0996871987534629
1190.43.39999322142386-2.99999322142386
1200.70.4002039949234210.299796005076579
1211.40.6999796143329050.700020385667094
1223.81.399952399690792.40004760030921
12343.799836800455770.200163199544231
12483.999986389210394.00001361078961
12567.99972800522868-1.99972800522868
1265.86.00013597842768-0.200135978427677
1273.95.80001360893861-1.90001360893861
1286.43.900129198002142.49987080199786
129116.399830012631644.60016998736836


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
13010.99968719551845.6764905828928716.322883808144
13110.99968719551843.4718062972751518.5275680937617
13210.99968719551841.7800581650419820.2193162259949
13310.99968719551840.35383691942155321.6455374716153
13410.9996871955184-0.90269478215897322.9020691731959
13510.9996871955184-2.0386894436191224.038063834656
13610.9996871955184-3.0833463564360525.0827207474729
13710.9996871955184-4.0556906697808626.0550650608177
13810.9996871955184-4.9689373948591526.968311785896
13910.9996871955184-5.8327083544286927.8320827454656
14010.9996871955184-6.6542672790843528.6536416701212
14110.9996871955184-7.4392573847121729.4386317757491