Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.938589004712726
beta0.185994942007099
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
38.228.23-0.00999999999999979
48.218.198868381877870.0111316181221284
58.128.18951394600456-0.0695139460045624
68.168.092331225648660.0676687743513398
78.158.135719826173990.0142801738260108
88.18.13149140330564-0.0314914033056404
98.098.078804738725980.01119526127402
108.028.06813769635995-0.0481376963599534
118.037.993377859541450.0366221404585492
127.988.00456590347855-0.0245659034785479
137.957.95403498341738-0.00403498341738295
147.927.92206976079888-0.00206976079887511
157.967.89158775056840.0684122494316028
167.967.939202298620970.0207977013790348
177.947.94575706852631-0.00575706852631175
187.837.92638279576022-0.0963827957602161
197.777.80512239661772-0.0351223966177194
207.87.7352289191510.0647710808490034
217.787.770401630705680.00959836929431912
227.787.755465456110080.0245345438899154
237.87.758831274969980.0411687250300208
247.817.784996693260060.0250033067399347
257.957.800354325140870.149645674859132
268.027.95882397885010.0611760211498957
277.998.04493665810093-0.0549366581009263
288.018.01247680665984-0.0024768066598444
298.038.028822811877980.0011771881220195
308.058.048803921457070.00119607854293236
318.058.06901156416675-0.0190115641667479
328.068.06693363348641-0.00693363348640474
338.078.07498149187841-0.00498149187841435
347.998.08399197589657-0.0939919758965733
3587.993049755196390.00695024480361006
368.017.998064116704860.0119358832951377
3788.00984162433978-0.00984162433977964
388.097.999460922767160.0905390772328394
398.18.099102104876950.000897895123047832
408.128.114763807161510.00523619283848831
418.298.135411484865380.154588515134618
428.328.32322656119902-0.00322656119902298
438.368.36235487226093-0.00235487226092701
448.388.40189024431376-0.0218902443137612
458.488.419268489548120.0607315104518804
468.458.52479667563888-0.0747966756388845
478.418.49006213077824-0.0800621307782432
488.388.4364088166746-0.0564088166745993
498.388.39510879761901-0.0151087976190123
508.348.38993493712513-0.0499349371251263
518.418.343356362847940.0666436371520636
528.348.41783132341205-0.0778313234120542
538.228.3431164418949-0.123116441894897
548.278.204404663181630.0655953368183742
558.188.25426684713571-0.0742668471357053
568.198.159890951046720.03010904895328
578.198.168737344590830.0212626554091742
588.138.17299249187276-0.0429924918727558
598.068.10943314441202-0.0494331444120206
607.998.0311989884912-0.0411989884911961
6187.953501097693680.0464989023063227
627.987.966232926856490.0137670731435087
637.927.95064637767267-0.0306463776726744
647.937.888023827701410.041976172298587
657.97.90089190287365-0.000891902873647155
667.867.87336877204735-0.0133687720473539
677.887.831801164932250.0481988350677529
687.887.856434442857860.0235655571421391
697.937.862061102443070.0679388975569326
707.917.92119637552894-0.0111963755289439
717.897.90410156870157-0.0141015687015669
727.937.881818229067410.0481817709325885


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
737.926404574212697.823807175343488.0290019730819
747.925768038933057.772244162011358.07929191585476
757.925131503653417.722585692836378.12767731447045
767.924494968373787.672436467563528.17655346918403
777.923858433094147.620976912807398.22673995338089
787.92322189781457.567866335773288.27857745985573
797.922585362534867.512956071894448.33221465317528
807.921948827255227.45618650197058.38771115253995
817.921312291975597.397542947055128.44508163689606
827.920675756695957.337034520734578.50431699265732
837.920039221416317.2746831739088.56539526892462
847.919402686136677.210517701534738.62828767073861