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Data:
 
Seasonal period 
Type of Exponential Smoothing (?)
Type of seasonality (?)
Number of Forecasts 
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R Code




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center


Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.225679028753406
beta0.000941496287007171
gamma0.44344288426729


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
133770241487.9961256583-3785.99612565827
143036432384.2423306442-2020.24233064415
153260934048.8239474297-1439.82394742974
163021230953.081778433-741.081778432963
172996530167.1615625252-202.161562525176
182835228194.2876712473157.712328752677
192581422076.54434447423737.45565552585
202241420801.92075326841612.07924673158
212050621128.7820231163-622.782023116251
222880626754.52591915812051.47408084193
232222822076.0673309998151.932669000216
241397113470.8643970094500.135602990642
253684537059.4733194593-214.473319459335
263533829795.48397040945542.51602959057
273502233348.72441949391673.27558050609
283477731163.7441308343613.25586916602
292688731542.0186569771-4655.01865697711
302397028668.3449958553-4698.34499585526
312278022752.225994223627.7740057763876
321735120061.3545527709-2710.35455277087
332138218709.04253007292672.95746992712
342456125498.9960342701-937.996034270062
351740920022.1189854637-2613.11898546367
361151411945.6711210862-431.671121086243
373151431811.142739525-297.142739524981
382707127135.2239715724-64.2239715724318
392946227863.02418044181598.97581955821
402610526585.9480635963-480.94806359629
412239723768.4474504734-1371.44745047344
422384321869.56385517731973.4361448227
432170519509.10820626732195.89179373275
441808916761.28097596461327.71902403538
452076418040.74222789162723.25777210841
462531623196.82850721152119.17149278854
471770418102.3007276653-398.30072766529
481554811461.22353787094086.77646212913
492802933585.8002125528-5556.80021255277
502938327714.04861898441668.95138101564
513643829460.21037802746977.78962197263
523203428524.13301245633509.86698754368
532267925984.1070779228-3305.10707792285
542431924768.3603312268-449.36033122677
551800421738.5190502817-3734.51905028165
561753717326.1475284402210.852471559763
572036618790.72385674411575.27614325586
582278223364.3485694369-582.348569436886
591916917096.14672940772072.85327059235
601380712536.44630626181270.55369373823
612974329375.0615334885367.938466511467
622559127375.1673514991-1784.16735149911
632909629845.1799392567-749.179939256675
642648226329.5061513032152.493848696766
652240521403.18892294951001.81107705046
662704422062.65158253674981.34841746334
671797019291.1739870886-1321.17398708861
681873016843.79259252321886.20740747683
691968419125.9670976015558.03290239846
701978522648.0790967243-2863.07909672429
711847916985.57738857441493.42261142559
721069812280.7803828344-1582.78038283441


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
7326498.981865147523698.880672307929299.0830579871
7423934.863394321220956.288363425226913.4384252173
7526836.693618632623556.492578445430116.8946588198
7624042.233314810720686.841609159527397.6250204618
7719769.007584475916442.310680406523095.7044885453
7821288.456756203617662.497386317524914.4161260896
7916072.176615049512656.44390470119487.909325398
8015124.888989787211597.600805595118652.1771739793
8116273.780768293412429.524494841420118.0370417455
8218070.926523697613805.659849381622336.1931980137
8315008.434190429511001.710892855319015.1574880036
849842.625886160647798.833920998811886.4178513225





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