Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.945163820624744
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
295.5696.24-0.679999999999993
395.5695.5972886019752-0.0372886019751775
495.5695.5620447644666-0.00204476446656088
595.9695.56011212707110.399887872928929
695.9695.93807167687010.0219283231299272
795.9695.95879753453940.00120246546055114
895.9695.95993406138836.59386116836913e-05
995.6195.9599963841785-0.349996384178453
1095.395.6291924645035-0.329192464503507
1195.6895.31805165703250.361948342967509
1297.9495.66015213574052.27984786425954
1397.3297.8149818535672-0.494981853567168
1497.3297.3471429137097-0.0271429137097101
1597.4597.32148841368490.128511586315057
1698.0897.4429529156010.637047084398972
1798.2598.04506677180940.204933228190583
1898.2598.2387622447390.011237755261007
1997.9598.2493837644367-0.299383764436726
2097.8197.9664170618087-0.156417061808696
2197.6897.8185773140587-0.138577314058693
2298.0397.68759905045110.342400949548932
2398.0398.01122404011230.0187759598877193
2498.0398.02897039809570.00102960190434942
2598.1198.02994354056530.0800564594347151
2698.1198.10561000963030.00438999036971666
2798.1198.10975926970060.000240730299367442
2897.9598.1099867992701-0.159986799270115
2997.9597.9587730648225-0.00877306482244933
3097.9597.9504810813563-0.000481081356269897
3197.9597.9500263806635-2.63806635416586e-05
3297.9597.9500014466148-1.44661480305786e-06
3397.9597.9500000793268-7.93268242205158e-08
3497.8997.95000000435-0.0600000043499875
3597.1697.8932901710011-0.733290171001059
3697.1697.2002108313511-0.040210831351132
3797.1697.1622050083608-0.00220500836080362
3897.1897.1601209142340.0198790857660072
3997.1897.17890990688710.00109009311287878
4096.4797.1799402234585-0.709940223458531
4197.4796.50893040943930.961069590560712
4297.4797.41729861553990.052701384460093
4397.4797.46711005742840.00288994257158492
4497.4797.46984152659080.000158473409243243
4596.6397.4699913099237-0.839991309923704
4696.7896.67606191414460.103938085855376
4796.2596.7743004324801-0.524300432480118
4896.2596.278750632562-0.0287506325620086
4996.2896.25157657484430.0284234251556796
5095.6296.2784413679597-0.658441367959696
5195.6295.6561064089615-0.0361064089615297
5296.8595.62197993751841.22802006248158
5396.8596.78266007157730.0673399284226548
5496.8596.84630733560590.00369266439410865
5596.8596.84979750839290.000202491607083743
5696.8596.84998889613391.11038660861595e-05
5796.8596.84999939110646.08893586218073e-07
5896.8596.84999996661063.33893979131972e-08
5996.7596.8499999981691-0.0999999981690536
6097.1596.75548361783710.394516382162877
6198.2897.12836622890121.15163377109876
6298.2898.21684880395340.0631511960465758
6398.2898.27653702968580.00346297031417464
6498.5198.27981010393870.230189896061319
6598.5198.49737726556920.0126227344307921
6698.5198.50930781747060.00069218252944836
6796.0398.5099620433547-2.47996204335466
6896.0396.1659916434532-0.135991643453224
6996.7796.03745726215390.73254273784606
7096.9296.72983015502740.190169844972573
7196.9296.90957181226930.0104281877306818
7296.9296.9194281580270.000571841972956122


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
7396.91996864237195.862561706078797.9773755786634
7496.91996864237195.464992586958298.3749446977838
7596.91996864237195.154805416283998.6851318684581
7696.91996864237194.891509348316698.9484279364254
7796.91996864237194.65866525703399.181272027709
7896.91996864237194.447654161273199.3922831234689
7996.91996864237194.253288161632599.5866491231096
8096.91996864237194.072157082724399.7677802020177
8196.91996864237193.901877097675499.9380601870666
8296.91996864237193.7407041889057100.099233095836
8396.91996864237193.5873167916711100.252620493071
8496.91996864237193.4406850593788100.399252225363