Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.99994898197325
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
26.136.110.0199999999999996
36.156.129998979639470.0200010203605352
46.156.149998979587411.02041259175678e-06
56.166.149999999947940.0100000000520595
66.186.159999489819730.02000051018027
76.216.179998979613440.0300010203865639
86.226.209998469407140.0100015305928602
96.236.219999489741640.0100005102583562
106.266.22999948979370.0300005102062997
116.286.259998469433170.0200015305668328
126.286.279998979561381.02043862160173e-06
136.296.279999999947940.0100000000520604
146.326.289999489819730.0300005101802707
156.366.319998469433170.0400015305668306
166.376.359997959200840.0100020407991561
176.386.369999489715610.0100005102843852
186.386.37999948979375.10206301207461e-07
196.46.379999999973970.0200000000260303
206.416.399998979639460.0100010203605363
216.426.409999489767680.0100005102323237
226.436.41999948979370.0100005102062983
236.446.42999948979370.0100005102062983
246.476.43999948979370.030000510206297
256.476.469998469433171.53056683238617e-06
266.486.469999999921910.0100000000780875
276.516.479999489819730.0300005101802707
286.546.509998469433170.0300015305668309
296.566.539998469381110.020001530618889
306.576.559998979561380.0100010204386249
316.66.569999489767670.0300005102323277
326.626.599998469433170.0200015305668337
336.656.619998979561380.0300010204386219
346.716.649998469407140.0600015305928627
356.766.70999693884030.0500030611596927
366.786.759997448942490.0200025510575124
376.86.779998979509320.0200010204906844
386.836.79999897958740.0300010204125991
396.866.829998469407140.0300015305928625
406.866.859998469381111.53061889029971e-06
416.876.859999999921910.0100000000780893
426.886.869999489819730.0100005101802711
436.96.87999948979370.0200005102062963
446.926.899998979613440.0200010203865642
456.936.91999897958740.0100010204125933
466.946.929999489767670.0100005102323273
476.966.93999948979370.0200005102062981
486.986.959998979613440.020001020386565
496.996.979998979587410.0100010204125933
507.016.989999489767670.0200005102323262
517.067.009998979613430.0500010203865662
527.077.05999744904660.0100025509533967
537.087.069999489689590.0100005103104115
547.087.07999948979375.10206302095639e-07
557.17.079999999973970.0200000000260294
567.117.099998979639460.0100010203605372
577.227.109999489767680.110000510232323
587.247.219994387991030.0200056120089744
597.257.239998979353150.0100010206468486
607.267.249999489767660.0100005102323388
617.277.25999948979370.0100005102062983
627.37.26999948979370.0300005102062979
637.327.299998469433170.0200015305668328
647.347.319998979561380.0200010204386212
657.357.33999897958740.010001020412596
667.367.349999489767670.0100005102323273
677.397.35999948979370.0300005102062979


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
687.389998469433177.357404514741967.42259242412437
697.389998469433177.343904832475697.43609210639065
707.389998469433177.333546003999647.4464509348667
717.389998469433177.324813054353727.45518388451261
727.389998469433177.317119145721747.4628777931446
737.389998469433177.310163306063947.46983363280239
747.389998469433177.303766742118067.47623019674827
757.389998469433177.297812959284877.48218397958146
767.389998469433177.292221039691657.48777589917469
777.389998469433177.286932067281877.49306487158447
787.389998469433177.281901565046557.49809537381978
797.389998469433177.277094978683227.50290196018312