Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.70504327667519
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
2-13-9-4
3-18-11.8201731067008-6.17982689329924
4-11-16.17721850883795.17721850883791
5-9-12.52705540730343.52705540730339
6-10-10.04032870592330.0403287059232618
7-13-10.0118952229551-2.98810477704495
8-11-12.11863840601161.11863840601161
9-5-11.32994991882256.32994991882247
10-15-6.86706128686603-8.13293871313397
11-6-12.60113504617256.6011350461725
12-6-7.947049163443611.94704916344361
13-3-6.574295241401643.57429524140164
14-1-4.054262412599293.05426241259929
15-3-1.90087523339442-1.09912476660558
16-4-2.67580576031687-1.32419423968313
17-6-3.60942000601748-2.39057999398252
180-5.294882358129075.29488235812907
19-4-1.56176115074409-2.43823884925590
20-2-3.280825058340221.28082505834022
21-2-2.377787962360340.377787962360341
22-6-2.11143109948936-3.88856890051064
23-7-4.85304045868262-2.14695954131738
24-6-6.366739848582090.366739848582089
25-6-6.108172384050410.108172384050410
26-3-6.031906171953743.03190617195374
27-2-3.894281109907741.89428110990774
28-5-2.55873094923447-2.44126905076553
29-11-4.27993128003193-6.72006871996807
30-11-9.01787054984067-1.98212945015933
31-11-10.4153575921754-0.584642407824605
32-10-10.82755579107130.827555791071328
33-14-10.2440931445029-3.75590685549713
34-8-12.89217002078944.89217002078938
35-9-9.44297843927990.442978439279903
36-5-9.130659468953544.13065946895354
37-1-6.218365782133145.21836578213314
38-2-2.53919207220830.539192072208301
39-5-2.15903832686127-2.84096167313873
40-4-4.162039253799630.162039253799631
41-6-4.04779456735074-1.95220543264926
42-2-5.424183882328883.42418388232888
43-2-3.009986057993351.00998605799335
44-2-2.297902178269460.297902178269462
45-2-2.087868250373680.0878682503736838
462-2.025917331214514.02591733121451
4710.8125286156084050.187471384391595
48-80.94470405474269-8.94470405474269
49-1-5.361699400902954.36169940090295
501-2.286512563418123.28651256341812
51-10.0306210231283678-1.03062102312837
522-0.6960114000283932.69601140002839
5321.204793311401290.795206688598709
5411.76544844076495-0.765448440764952
55-11.22577416396212-2.22577416396212
56-2-0.343492945736715-1.65650705426328
57-2-1.51140210711007-0.488597892889932
58-1-1.855884766489780.855884766489779
59-8-1.25244896626745-6.74755103373255
60-4-6.009764456623312.00976445662331
61-6-4.59279353878028-1.40720646121972
62-3-5.584934993157132.58493499315713
63-3-3.762443955589270.762443955589267
64-7-3.22488797085942-3.77511202914058
65-9-5.88650532570062-3.11349467429938
66-11-8.0816538127794-2.91834618722059
67-13-10.1392141710900-2.86078582891004
68-11-12.15619198577061.15619198577064
69-9-11.34102659965732.34102659965732
70-17-9.69050153505114-7.30949846494886
71-22-14.8440142836310-7.15598571636905
72-25-19.8892939009406-5.11070609905936
73-20-23.49256287514533.49256287514533
74-24-21.0301549016587-2.96984509834125
75-24-23.124024221011-0.875975778988984
76-22-23.74162505451751.74162505451751
77-19-22.51370401934093.51370401934088
78-18-20.0363906242782.03639062427800
79-17-18.60064710594641.60064710594640
80-11-17.47212162556936.47212162556929
81-11-12.90899578763761.90899578763756


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
82-11.5630711423624-18.5034914750874-4.62265080963752
83-11.5630711423624-20.0550548281408-3.07108745658413
84-11.5630711423624-21.3639965805111-1.76214570421382
85-11.5630711423624-22.5176360341677-0.608506250557186
86-11.5630711423624-23.56085612515810.434713840433171
87-11.5630711423624-24.52035469324681.39421240852196
88-11.5630711423624-25.4135422369732.28739995224814
89-11.5630711423624-26.25251980687223.12637752214729
90-11.5630711423624-27.04610232465653.91996003993162
91-11.5630711423624-27.80094683829374.67480455356879
92-11.5630711423624-28.52222677114125.3960844864163
93-11.5630711423624-29.21405729514616.08791501042124