Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.686885392408528
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
235853455130
336753544.29510101311130.704898986891
436803634.0743868434445.9256131565635
537353665.6200196580869.3799803419151
638603713.27611468054146.723885319463
737653814.0586082239-49.0586082239006
839053780.36096686301124.639033136989
941103865.97369804873244.026301951269
1041704033.59180022253136.40819977747
1141104127.28860005442-17.2886000544186
1240254115.41331322184-90.4133132218449
1341454053.309729090591.690270909497
1442854116.29043680422168.709563195784
1543704232.17457132302137.825428676977
1643554326.8448449836828.1551550163185
1743854346.1842096853938.8157903146121
1845254372.84620904729152.153790952712
1943754477.35842545229-102.358425452287
2045254407.04991821917117.950081780826
2146104488.06810642782121.931893572185
2245954571.8213429912623.1786570087397
2345004587.74242390621-87.7424239062111
2443704527.47343463052-157.473434630518
2543904419.30723269042-29.3072326904157
2645304399.17652266345130.823477336548
2745904489.03725823002100.962741769985
2845804558.3870907293321.6129092706678
2945954573.232682394821.7673176051958
3046854588.1843348897396.8156651102699
3144904654.68560101029-164.68560101029
3246354541.565467336393.4345326636976
3347104605.74428296951104.255717030486
3446554677.35601207283-22.3560120728316
3546654661.999993947493.00000605250534
3645504664.0606542821-114.060654282098
3745904585.714057007174.28594299283395
3846754588.6580086416486.3419913583602
3946454647.96506125716-2.96506125716041
4046654645.9284039920219.0715960079797
4146354659.02840469982-24.0284046998186
4247204642.5236445086377.476355491367
4345654695.7410213527-130.741021352704
4447204605.93692359696114.06307640304
4548304684.28518459139145.714815408614
4648304784.3745627530745.6254372469321
4747654815.71400912024-50.7140091202373
4847054780.87929706507-75.8792970650738
4946754728.75891632485-53.7589163248467
5049004691.8327019896208.167298010403
5149454834.8197781701110.180221829904
5249054910.50096307739-5.50096307738841
5349554906.7224318953548.2775681046478
5451204939.88358820744180.116411792557
5548605063.60292040079-203.60292040079
5650404923.75104852577116.248951474228
5751405003.60075517623136.399244823773
5852405097.29140398123142.708596018769
5951455195.31585395765-50.3158539576534
6050705160.75462886758-90.7546288675803
6150855098.41660000498-13.4166000049827
6252155089.20093344577125.799066554227
6352555175.610474640579.3895253595001
6452755230.1419799201944.8580200798133
6553155260.9542986453854.0457013546211
6654505298.07750142834151.922498571658
6752055402.43084647542-197.430846475419
6853705266.8184820206103.181517979397
6955005337.69235948719162.307640512811
7054905449.1791068317340.8208931682666
7154405477.21838205408-37.2183820540849
7253605451.65361909205-91.6536190920542
7353805388.69808697635-8.69808697634653
7454605382.7234980903977.276501909605
7554505435.8035984285314.1964015714675
7655205445.5548992927474.4451007072612
7754755496.69015150494-21.6901515049385
7856005481.79150327707118.208496722931
7952505562.98719293462-312.987192934622
8054655348.00086209688116.99913790312
8155155428.3658608469286.6341391530759
8254255487.87358551506-62.8735855150599
8353255444.68663805642-119.686638056417
8452755362.47563470898-87.4756347089779
8551605302.38989903572-142.389899035717
8653605204.58435736156155.415642638442
8754355311.33709204169123.662907958313
8852855396.27933710101-111.279337101012
8954155319.8431859694295.1568140305772
9055755385.20501151516189.794988484839
9152655515.57241665774-250.572416657742
9254805343.45788391504136.542116084964
9355655437.24666890235127.753331097652
9455005524.99856586485-24.9985658648548
9552805507.82741614112-227.827416141124
9651355351.33609200361-216.336092003607
9750505202.73799055558-152.737990555582
9851005097.824495977122.17550402287907
9950705099.31881791156-29.3188179115623
10051155079.1801501654235.8198498345755
10151405103.7842817750636.2157182249384
10253305128.66032959936201.339670400645
10350805266.95760810991-186.957608109906
10452855138.53915809957146.460841900427
10554055239.14097096083165.859029039169
10653855353.067115206931.9328847931019
10752555375.00134730874-120.001347308744
10851005292.57417477303-192.574174773025
10950405160.29778716631-120.297787166307
11052355077.6669944227157.333005577299
11153105185.73673769748124.263262302523
11252655271.09135738611-6.09135738610894
11353805266.90729297765113.092707022349
11454655344.58902141924120.41097858076
11552255427.29756369198-202.29756369198
11654455288.34232227212156.657677727875


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
1175395.948192712055163.862335135825628.03405028827
1185395.948192712055114.385714377065677.51067104703
1195395.948192712055072.3882861645719.50809926009
1205395.948192712055035.248044327515756.64834109658
1215395.948192712055001.590257627855790.30612779624
1225395.948192712054970.587445953355821.30893947074
1235395.948192712054941.695676150655850.20070927344
1245395.948192712054914.534718947965877.36166647613
1255395.948192712054888.826396058775903.06998936532
1265395.948192712054864.359911652275927.53647377182
1275395.948192712054840.970999956045950.92538546805
1285395.948192712054818.528701874945973.36768354915