Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.591850558656145
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
24649.24751.5-102.3
34664.94690.95368784948-26.0536878494768
44691.34675.5337981407115.7662018592891
54713.74684.8650335190228.834966480983
64772.84701.9310245396270.868975460382
74748.94743.874867257235.02513274276589
848014746.8489948783654.1510051216392
94891.94778.89829751139113.001702488606
104891.94845.7784182583746.1215817416287
114903.54873.0755021782630.4244978217412
124976.44891.0822582108985.3177417891111
135009.84941.5776113520668.2223886479451
144946.44981.9550701862-35.5550701861985
154981.94960.9117820334420.9882179665619
165013.84973.3336705621440.4663294378561
175015.54997.283690246718.2163097532975
185070.75008.0650233508462.6349766491549
195000.95045.13556927206-44.2355692720621
205059.15018.9547228859240.1452771140812
215156.85042.71472757329114.085272426707
225002.65110.23615979348-107.636159793477
235059.15046.5316384881112.5683615118942
245164.15053.97023027031110.129769729687
255087.95119.1505960095-31.2505960095023
265140.85100.6549133029440.1450866970599
275192.85124.4148052918968.3851947081057
285177.65164.888620983712.7113790163039
295167.85172.41185775579-4.61185775578542
305248.45169.6823271665878.717672833418
315097.55216.27142580915-118.771425809152
325187.35145.9764910916241.3235089083819
335261.55170.4338329246891.0661670753234
345179.75224.33139478288-44.6313947828812
355205.65197.916278847037.68372115297097
365353.35202.46389350397150.836106496027
375425.75291.73632739916133.963672600836
385215.25371.0228018676-155.822801867597
395215.65278.79898953089-63.1989895308934
405216.45241.39463227053-24.9946322705309
415208.25226.60154519781-18.4015451978121
425237.55215.7105803923521.7894196076495
4351755228.60666055993-53.6066605599317
445300.25196.87952855985103.320471440154
455279.35258.0298073023221.2701926976833
465262.65270.61858273316-8.01858273316429
475220.55265.87278006291-45.3727800629113
485372.15239.0188748349133.081125165105
4954065317.7830131104588.2169868895489
505317.25369.99428608399-52.794286083993
515258.45338.74795837133-80.3479583713297
525204.25291.19397432238-86.9939743223777
535304.25239.7065420199664.4934579800401
545300.25277.8770311551122.3229688448873
555228.85291.08889273682-62.2888927368231
565303.35254.2231767724649.0768232275386
5752965283.2693220167512.7306779832506
585341.15290.8039808932150.2960191067923
595354.85320.5717078997434.228292100257
605447.85340.82974170113106.970258298874
615405.65404.140148834911.45985116509291
625333.45405.00416256252-71.6041625625221
635291.95362.62519894779-70.7251989477882
645414.45320.7664504394793.6335495605272
655317.25376.18351905583-58.9835190558288
665380.55341.2740903511339.2259096488688
675431.55364.4899668906167.01003310939
685363.55404.14989242197-40.6498924219686
695435.45380.0912308827155.3087691172859
705499.85412.8257567833686.9742432166377
715447.45464.30151121982-16.9015112198249
7256335454.29834236224178.701657637762
735617.45560.0630182679357.3369817320727
745567.85593.99794293771-26.1979429377106
7555745578.49267577439-4.49267577438513
765710.45575.83368310745134.566316892546
775583.15655.47683293661-72.3768329366067
785610.85612.64056392931-1.84056392931325
795620.15611.551225139518.54877486049372
805759.45616.61082231652142.789177683484
815838.75701.12067689854137.579323101462
825843.35782.5470761356760.7529238643283
8358215818.503728064772.49627193523156
845895.15819.9811480041975.1188519958077
855881.65864.4402825235217.1597174764811
865827.75874.59627089836-46.8962708983563
875865.95846.8406867682719.0593132317263
885918.45858.1209519520760.2790480479271
895875.25893.7971402145-18.5971402144996
906078.45882.79041238914195.609587610858
915986.35998.56205609513-12.2620560951264
926019.75991.3047513449528.395248655047
936255.76008.11049512462247.589504875377
946128.46154.64648190251-26.2464819025136
9562106139.1124869257570.8875130742481
966301.86181.06730114049120.73269885951
976305.76252.5230164085653.1769835914447
986261.26283.9958438548-22.7958438548003
996200.56270.5041109343-70.0041109342983
1006185.56229.07213876961-43.5721387696067
1016237.46203.2839440969734.1160559030277
10263996223.47555084232175.524449157678
1036182.56327.35979413411-144.859794134106
1046292.36241.6244440490250.6755559509793
1056419.86271.61680014882148.183199851182
1066273.76359.3191097642-85.6191097641959
1076344.86308.6453918186136.1546081813858
1086490.46330.04351686876160.356483131238
1096355.46424.95059099412-69.5505909941203
1106383.16383.78703485939-0.687034859384767
1116377.36383.38041289404-6.08041289404173
1126324.96379.78171712584-54.8817171258434
1136342.26347.2999421849-5.09994218490374
1146364.16344.2815385536519.8184614463462
1156249.56356.01110603238-106.51110603238
1166439.26292.97244842403146.227551575967
1176409.46379.5173065151929.8826934848112


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
1186397.203395348326248.185154472366546.22163622429
1196397.203395348326224.041436878116570.36535381854
1206397.203395348326202.874571936276591.53221876038
1216397.203395348326183.796930225586610.60986047107
1226397.203395348326166.290106203556628.1166844931
1236397.203395348326150.020113447766644.38667724889
1246397.203395348326134.756824407486659.64996628917
1256397.203395348326120.333696128496674.07309456815
1266397.203395348326106.625594934136687.78119576252
1276397.203395348326093.535672596926700.87111809973
1286397.203395348326080.987150369516713.41964032714
1296397.203395348326068.917938259576725.48885243708