Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.999933893038648
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
27.43247.4361-0.00369999999999937
37.43677.432400244595760.00429975540424277
47.43687.436699715756240.000100284243764293
57.44567.436799993370510.00880000662948621
67.45647.44559941825830.010800581741699
77.45977.456399286006360.00330071399363874
87.45377.45969978179983-0.00599978179982674
97.46397.453700396627340.0101996033726559
107.45937.46389932573521-0.0045993257352146
117.44387.45930030404745-0.015500304047448
127.44157.443801024678-0.00230102467800108
137.43177.44150015211375-0.00980015211374852
147.43437.431700647858280.00259935214172291
157.42817.43429982816473-0.0061998281647293
167.42817.4281004098518-4.09851801386196e-07
177.43057.428100000027090.00239999997290674
187.4257.43049984134329-0.00549984134329495
197.43097.42500036357780.00589963642220148
207.43617.430899609992960.00520039000703676
217.44957.436099656218020.0134003437819814
227.43937.44949911414399-0.0101991141439903
237.43677.43930067423245-0.00260067423244514
247.43437.43670017192267-0.0024001719226705
257.44337.434300158668070.00899984133192699
267.44637.443299405047840.0030005949521632
277.45887.446299801639790.0125001983602147
287.45867.45879917364987-0.000199173649870765
297.46217.458600013166760.00349998683323616
307.45817.46209976862651-0.00399976862650675
317.46047.458100264412550.00229973558745034
327.45577.46039984797147-0.00469984797146772
337.45247.45570031069267-0.00330031069266834
347.457.45240021817351-0.00240021817351099
357.44467.45000015867113-0.00540015867112942
367.45577.444600356988080.011099643011919
377.45347.45569926623633-0.00229926623632881
387.45997.45340015199750.00649984800249559
397.45927.4598995703148-0.000699570314798947
407.45127.45920004624647-0.00800004624646711
417.45147.451200528858750.000199471141251628
427.44717.45139998681357-0.00429998681356913
437.44427.44710028425906-0.00290028425906197
447.44247.44420019172898-0.00180019172897961
457.44267.442400119005210.000199880994793844
467.44167.44259998678647-0.000999986786474061
477.44987.441600066106090.00819993389391183
487.45477.449799457927290.00490054207271307
497.4557.454699676040050.000300323959945281
507.45737.45499998014650.00230001985350459
517.45067.45729984795268-0.00669984795267631
527.43987.45060044290659-0.0108004429065893
537.4357.43980071398446-0.00480071398446213
547.43497.43500031736061-0.000100317360614
557.44577.434900006631680.0107999933683249
567.4597.445699286045260.0133007139547434
577.45897.45899912073022-9.9120730216562e-05
587.45557.45890000655257-0.00340000655257011
597.4587.45550022476410.00249977523589884
607.45937.457999834747460.00130016525254462
617.46257.459299914050030.00320008594997478
627.46287.462499788452040.000300211547957119
637.45227.46279998015393-0.010599980153926
647.44237.45220070073248-0.00990070073247828
657.45017.442300654505240.00779934549475847
667.46237.450099484408970.0122005155910312
677.46177.46229919346099-0.000599193460987024
687.46057.46170003961086-0.00120003961085935


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
697.460500079330977.447709238964687.47329091969726
707.460500079330977.442411697304687.47858846135727
717.460500079330977.438346670307037.48265348835492
727.460500079330977.434919666933297.48608049172865
737.460500079330977.431900403362737.48909975529922
747.460500079330977.42917077304217.49182938561984
757.460500079330977.426660614211167.49433954445078
767.460500079330977.424324212145127.49667594651682
777.460500079330977.422129813060057.49887034560189
787.460500079330977.420054297094087.50094586156787
797.460500079330977.418080210545147.50291994811681
807.460500079330977.416193993576757.5048061650852