Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.840013960810943
beta0.212264917034862
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
3101.4104.4-3
4101.5105.045041636468-3.54504163646818
5101.8104.600140289904-2.80014028990354
6101.5104.281686077061-2.78168607706051
7102.2103.482743751354-1.28274375135366
8101.8103.714213647816-1.91421364781573
998.5103.073925205897-4.5739252058974
1098.499.3838859314774-0.983885931477374
1197.598.5340975006736-1.03409750067355
1297.797.45774538535950.242254614640473
1398.397.49674219448440.803257805515642
1499.698.15021479558441.44978520441560
1599.499.605284104439-0.205284104438945
1696.799.6334688041553-2.93346880415530
1796.996.84688666506160.0531133349383737
1896.196.5785456173235-0.478545617323505
1997.995.77827631474062.12172368525943
2099.297.54058451738991.6594154826101
2197.899.210430272496-1.41043027249603
2294.998.0500752697104-3.15007526971044
2393.394.866718456253-1.56671845625304
2491.592.7340489632144-1.23404896321439
2589.190.6607887790286-1.56078877902863
2692.388.03476537420054.26523462579949
2791.891.06319773113740.736802268862618
2892.191.25907354077880.840926459221194
2994.491.69235693145612.7076430685439
3092.894.1764959689413-1.37649596894133
3192.692.9844644037283-0.384464403728316
3292.392.5572010875426-0.25720108754264
3392.192.1909803667577-0.0909803667576625
3489.891.9481650727964-2.14816507279642
3587.489.5942562719425-2.19425627194252
3687.786.81038227246310.889617727536887
3786.386.7756292140407-0.475629214040708
3889.185.50924236291123.59075763708883
3990.488.29892905002542.10107094997457
4087.190.2118906157628-3.11189061576276
4186.787.191024496527-0.491024496526919
4284.486.2841701415937-1.88417014159373
4388.483.87109610805044.52890389194957
4488.987.652622238771.24737776122997
4588.588.9000349144654-0.400034914465351
4687.288.6922695204388-1.49226952043884
4786.287.300931955339-1.10093195533895
4883.486.0420211924863-2.64202119248627
4987.583.01748706248314.48251293751686
5085.786.7769177482957-1.07691774829574
5187.485.67432869308121.72567130691880
5286.887.2336502450063-0.433650245006334
5387.986.90178932640560.998210673594443
5485.987.9506980163406-2.05069801634055
5587.786.07283011925981.62716988074017
568787.5745559306639-0.574555930663905
5786.887.1243548437356-0.324354843735634
5886.286.826491912291-0.62649191229103
5986.186.1631226754615-0.0631226754615142
6087.585.96173634284841.53826365715162
6185.787.3798177471108-1.67981774711079
6288.985.79514511204273.10485488795734
6389.888.78327697200491.01672302799513
6491.490.19863621904721.20136378095282
6595.291.98330603838433.21669396161570
6694.196.0344355500285-1.93443555002848
6796.895.41362387216831.38637612783172
6896.197.8295388448611-1.72953884486112
6996.697.3196554621864-0.719655462186424
7094.297.5297696972706-3.32976969727063
7193.994.9536353057947-1.05363530579473
7296.594.10161661646142.3983833835386
7393.496.5769867524313-3.17698675243125
749593.80249394612851.19750605387151
7595.294.9161580767310.283841923269023
769495.3129421563963-1.31294215639633
779794.13430051734682.86569948265321
7896.996.9767461533741-0.076746153374117
7996.397.3338121154443-1.03381211544435
8096.396.7025949283216-0.402594928321633
8197.396.52982410323040.770175896769558
8295.797.4795237375567-1.77952373755669
8396.495.9701412245990.429858775400987
8495.196.3933170484664-1.29331704846638
8594.695.1383955885162-0.538395588516252
8695.994.4216198030241.47838019697609
8796.295.66256714406820.537432855931783
8894.396.2089328129547-1.90893281295470
8998.394.35994395907463.94005604092544
9095.998.1267210366629-2.22672103666287
9192.196.3162826820945-4.21628268209452
9294.692.08279840426142.51720159573861
9394.793.95436579797880.745634202021193
9496.794.47074252296692.22925747703312
9597.596.6308723665750.86912763342491
9696.297.8034443848026-1.60344438480264
9797.196.61311844595640.48688155404362
9895.997.2655091342532-1.36550913425320
9994.596.1183880031701-1.61838800317011
10099.494.47027761989994.92972238010013
101101.399.20166795829382.09833204170624
102101.4101.928795014574-0.528795014573788
103100.9102.354811610615-1.45481161061495
104101.4101.743560435568-0.343560435568207
105103.1102.0045170484491.09548295155136
106102.4103.669620825238-1.26962082523809
107101.1103.121624042702-2.02162404270229
108102101.5814673859130.41853261408734
109103.9102.1657030517761.73429694822367
110101.7104.164433801026-2.46443380102647
111101.2102.196750017638-0.99675001763815
112101.9101.2842150983620.615784901638278
113101.1101.836029854472-0.736029854472065
114103.1101.1210631764401.97893682355986
115103.3103.0395617184170.260438281583177
116101.4103.560935069876-2.16093506987580
117102.8101.6630144072871.13698559271344
118103102.7381239203570.261876079642676
119102.6103.124823168879-0.524823168878996
120102.2102.757105211451-0.557105211450988


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
121102.26293496780998.4513573182622106.074512617355
122102.23674087942696.7967575475938107.676724211257
123102.21054679104395.1115043664934109.309589215592
124102.18435270266093.3604726500812111.008232755238
125102.15815861427791.532220204904112.784097023649
126102.13196452589389.6231952835992114.640733768188
127102.10577043751087.6330076489895116.578533226031
128102.07957634912785.5626452683782118.596507429877
129102.05338226074483.4137058242774120.693058697211
130102.02718817236181.1880370466166122.866339298106
131102.00099408397878.8875599124513125.114428255505
132101.97479999559576.514179868529127.435420122662