Estimated Parameters of Exponential Smoothing
ParameterValue
alpha1
beta0.200818967424103
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
385.7486.17-0.429999999999993
485.8886.2536478440076-0.373647844007635
585.8886.3186122697938-0.438612269793779
685.9686.2305306066743-0.270530606674257
785.9686.2562029295853-0.296202929585306
885.9986.196719763118-0.206719763117988
986.0286.1852065137425-0.165206513742476
1086.1486.182029912241-0.0420299122409773
1186.386.29358950866380.00641049133616889
1286.3286.4548768569146-0.134876856914644
1386.3286.4477910257796-0.127791025779629
1486.7786.42212816393650.347871836063504
1587.4786.94198742685070.528012573149311
1687.3987.7480223665775-0.358022366577487
1787.387.5961246846067-0.296124684606667
1887.3187.4466572312152-0.136657231215153
1987.3187.4292138671515-0.119213867151501
2087.3887.4052734614475-0.0252734614475116
2187.487.4701980710164-0.0701980710163639
2287.3287.4761009668797-0.15610096687972
2387.3787.3647529318970.00524706810298881
2487.487.4158066426955-0.0158066426954662
2587.487.4426323690309-0.042632369030926
2687.8987.43407098070330.455929019296704
2787.788.0156301755771-0.315630175577141
2887.8987.76224564962980.127754350370154
2988.0287.97790114635510.0420988536448732
3088.0888.1163553946738-0.0363553946738193
3188.0888.1690545418551-0.0890545418551341
3288.1588.1511707007154-0.00117070071534897
3388.2188.2209356018065-0.0109356018065512
3488.4188.27873952554360.131260474456425
3588.3988.5050991184875-0.115099118487521
3688.4188.4619850323614-0.0519850323614435
3788.4188.4715454518411-0.0615454518410985
3889.188.45918595775270.640814042247271
3990.3589.27787357202771.07212642797232
4090.6190.7431768942412-0.133176894241174
4191.1890.97643244785490.203567552145088
4291.2291.5873126734778-0.367312673477755
4391.2291.5535493216682-0.333549321668158
4491.491.4865662913057-0.0865662913057434
4591.5291.649182138072-0.129182138072011
4691.6891.7432399144947-0.06323991449473
4791.7191.8905401401659-0.180540140165931
4891.7791.8842842556392-0.114284255639191
4991.7791.9213338094289-0.151333809428891
5092.1691.8909431100830.269056889916968
5193.6492.33497483689451.30502516310551
5293.7894.0770486426118-0.297048642611813
5393.9694.1573956409278-0.197395640927795
5493.8294.2977548521426-0.477754852142638
5593.8294.0618126160535-0.241812616053508
5693.8994.0132520561875-0.123252056187511
5794.0594.058500705531-0.00850070553104842
5894.4694.21679360262390.243206397376071
5994.6294.6756340602159-0.0556340602159082
6094.7294.8244616856898-0.104461685689756
6194.7294.9034837978342-0.183483797834157
6295.7694.8666367710140.893363228985962
6396.1496.08604105219370.053958947806322
6497.1196.47687703237540.633122967624573
6597.1997.5740201329863-0.384020132986279
6697.4397.5769016064099-0.146901606409898
6797.4397.7874009774977-0.357400977497733
6897.5697.7156280822403-0.15562808224027
6997.6697.8143750114626-0.154375011462591
7097.7597.8833735810646-0.133373581064575
7197.8297.9465896362335-0.126589636233547
7297.8297.9911680361985-0.171168036198523
7397.8297.9567942479131-0.13679424791313
7498.3597.92932336829760.420676631702349
7598.1998.5438032150956-0.353803215095567
7698.1998.3127528187687-0.122752818768745
7798.2198.2881017244552-0.0781017244552089
7898.2298.2924174167961-0.0724174167960712
7998.2698.2878746259316-0.0278746259315596
8098.2398.3222768723347-0.092276872334665
8198.2698.2737459261153-0.0137459261152912
8298.598.30098548342650.19901451657347
8398.5198.5809513731472-0.07095137314721
8498.5198.5767029916545-0.0667029916544664
8598.5198.5633077657463-0.0533077657463252
8698.8998.55260255527350.337397444726534
8799.5599.0003583617350.54964163826503
8899.999.77073682798460.129263172015357
89100.12100.146695324715-0.026695324714737
90100.09100.36133439717-0.271334397170477
91100.09100.276845303704-0.186845303704061
92100.09100.239323222746-0.149323222746162
93100.46100.2093362873420.250663712658152
94100.71100.6296743152890.080325684711454
95100.79100.89580523635-0.105805236349923
96100.79100.954557538038-0.164557538038082
97100.93100.9215112631670.00848873683258944
98101.15101.0632159625330.086784037467126
99101.53101.3006438433260.229356156674086
100101.91101.7267029098820.18329709011843
101102.18102.1435124422510.0364875577490125
102102.24102.420839835922-0.180839835921986
103102.2102.444523766803-0.24452376680297
104102.32102.355418756443-0.0354187564429651
105102.43102.468305998347-0.0383059983466154
106102.45102.570613427313-0.12061342731252
107102.84102.5663919633820.273608036617873
108102.96103.011337646775-0.0513376467746838
109102.96103.121028073559-0.161028073559393
110103.1103.0886905821010.0113094178990991
111103.4103.2309617277260.169038272274449
112103.74103.5649078190190.17509218098111
113103.97103.9400696500080.029930349992469
114104.29104.1760802319880.113919768012337
115104.33104.518957482169-0.188957482169101
116104.46104.521011235713-0.0610112357128401
117104.9104.6387590223560.261240977644292
118105.31105.1312211657350.178778834264889
119105.63105.5771233466290.0528766533705181
120105.68105.90774198156-0.227741981560172


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
121105.912007071984105.358000313438106.466013830531
122106.144014143968105.278279321608107.009748966328
123106.376021215952105.21306151697107.538980914935
124106.608028287937105.144944454381108.071112121492
125106.840035359921105.068406366769108.611664353072
126107.072042431905104.981254160317109.162830703493
127107.304049503889104.882572969875109.725526037903
128107.536056575873104.772022622942110.300090528804
129107.768063647857104.649545371465110.886581924249
130108.000070719841104.515229026801111.484912412882
131108.232077791826104.369237486026112.094918097626
132108.46408486381104.211773442132112.716396285487