Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.999931067825166
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
2102.91102.590.319999999999993
3101.94102.909977941704-0.969977941704059
4101.8101.940066862689-0.140066862689068
5102.25101.8000096551130.44999034488653
6102.6102.2499689811870.350031018813127
7102.49102.599975871601-0.109975871600611
8102.13102.490007580876-0.360007580876015
9100.76102.130024816106-1.3700248161055
10100.86100.760094438790.0999055612098516
11101.12100.8599931132920.260006886707629
12100.74101.11998207716-0.379982077159838
1399.99100.740026192991-0.750026192990987
1499.3999.9900517009367-0.60005170093666
1599.5299.39004136286880.129958637131239
1699.2199.5199910416685-0.309991041668511
1799.3899.21002136835670.169978631643318
1899.3799.3799882830032-0.00998828300323851
1999.3899.37000068851410.00999931148592736
2099.2699.3799993107257-0.119999310725703
2199.3699.26000827181350.0999917281865237
2299.299.3599931073527-0.159993107352705
2398.5399.2000110286728-0.670011028672846
2498.6598.53004618531740.119953814682631
2599.1598.64999173132270.50000826867732
26100.1799.14996553334261.02003446665739
2799.98100.169929686806-0.189929686805797
28100.0799.98001309226640.0899869077336035
2999.94100.069993797007-0.129993797006748
30100.0599.94000896075510.109991039244861
3199.13100.049992418078-0.919992418078451
3298.7499.1300634170782-0.39006341707821
3398.6498.7400268879197-0.100026887919668
3498.4498.6400068950709-0.200006895070928
3598.8198.44001378691030.369986213089746
3698.8898.80997449604570.0700255039543265
3799.6398.87999517298970.750004827010287
38100.0899.62994830053610.450051699463856
39100.07100.079968976958-0.00996897695756616
40100.55100.0700006871830.479999312816744
4199.98100.549966912603-0.569966912603434
4299.8999.9800392890589-0.090039289058879
4399.8699.890006206604-0.0300062066040283
4499.6199.8600020683931-0.250002068393087
45100.1299.61001723318630.509982766813721
46100.24100.1199648457790.120035154221242
47100.1100.239991725716-0.13999172571576
4899.86100.100009649934-0.240009649934109
4997.9999.8600165443872-1.87001654438716
5097.5797.9901289043074-0.420128904307376
5198.2897.57002896039910.70997103960093
5297.9798.2799510601522-0.309951060152173
5397.9997.97002136560070.0199786343993225
5497.8497.9899986228293-0.149998622829273
5597.3397.8400103397313-0.510010339731295
5696.797.3300351561219-0.630035156121892
5796.7996.70004342969350.0899565703064695
5896.7696.789993799098-0.0299937990979657
5996.2396.7600020675378-0.530002067537808
6096.2996.23003653419520.0599634658048132
6196.4696.28999586658790.170004133412093
6297.2396.45998828124530.77001171875466
6397.5997.22994692141760.360053078582425
6497.1397.5899751807582-0.459975180758249
6597.3797.13003170708960.239968292910433
6696.1297.3699834584637-1.24998345846367
6796.9696.12008616407830.839913835921692
6896.796.9599421029126-0.259942102912603
699796.70001791837450.299982081625515
7097.1596.99997932158270.150020678417306
7196.5197.1499896587484-0.639989658748362
7296.6896.51004411587910.169955884120952


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
7396.679988284571395.681527192761597.6784493763811
7496.679988284571395.267999733591598.0919768355511
7596.679988284571394.950682416791498.4092941523512
7696.679988284571394.683169339203998.6768072299386
7796.679988284571394.44748452940898.9124920397345
7896.679988284571394.234408571485399.1255679976573
7996.679988284571394.038464624011499.3215119451312
8096.679988284571393.856084184652599.50389238449
8196.679988284571393.684788544691299.6751880244514
8296.679988284571393.522772961217899.8372036079247
8396.679988284571393.368674993102599.9913015760401
8496.679988284571393.2214361553562100.138540413786