Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.694725004533896
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
20.660.67-0.01
30.660.663052749954661-0.00305274995466109
40.670.6609319282285680.00906807177143165
50.670.667231744431090.00276825556891014
60.670.6691549207937520.000845079206248101
70.670.6697420184491440.000257981550855879
80.680.6699212446832320.0100787553167678
90.680.676923208016370.00307679198363031
100.670.679060732341147-0.00906073234114713
110.670.672766015024363-0.00276601502436324
120.670.670844395224022-0.000844395224021688
130.670.670257772748185-0.000257772748184837
140.670.670078691574533-7.86915745334404e-05
150.690.6700240225700590.0199759774299409
160.690.6839018335806440.00609816641935623
170.690.6881383822739790.00186161772602056
180.690.6894316946571290.000568305342870556
190.690.6898265105890320.000173489410968175
200.690.6899470380208535.29619791467262e-05
210.70.6899838320320560.0100161679679439
220.690.696942314368998-0.00694231436899817
230.680.69211931498752-0.0121193149875201
240.70.6836997238278670.0163002761721325
250.70.6950239332654560.00497606673454398
260.710.6984809312501730.011519068749827
270.690.706483516339623-0.0164835163396229
280.70.6950320053758440.0049679946241562
290.70.6984833954636350.00151660453636493
300.710.6995370185570370.0104629814429626
310.710.7068059133874380.00319408661256237
320.710.7090249252238320.000975074776168317
330.710.7097023340521260.000297665947873949
340.70.709909130029112-0.00990913002911242
350.70.70302500962471-0.00302500962471031
360.710.7009234597994680.00907654020053161
370.710.7072291592314350.00277084076856515
380.710.7091541315969390.000845868403061001
390.710.7097417775270910.000258222472909408
400.70.709921171135753-0.0099211711357533
410.690.703028685473486-0.0130286854734856
420.70.6939773318988480.00602266810115237
430.70.6981614300227270.00183856997727316
440.70.6994387305585240.000561269441476164
450.710.6998286584737980.0101713415262019
460.70.706894943761704-0.00689494376170452
470.70.702104853925593-0.00210485392559334
480.690.700642559272592-0.0106425592725923
490.70.6932489072336880.00675109276631169
500.710.6979390601863730.0120609398136271
510.710.7063180966530780.00368190334692198
520.710.7088760069724620.00112399302753829
530.710.7096568730336140.000343126966385721
540.710.7098952519168920.000104748083107675
550.710.7099680230294043.19769705957595e-05
560.710.7099902382304469.76176955369557e-06
570.710.7099970199758442.98002415621834e-06
580.690.709999090273139-0.0199990902731393
590.70.6961052221924590.00389477780754122
600.70.6988110217224610.00118897827753861
610.70.6996370346617150.000362965338284948
620.720.6998891957580010.0201108042419993
630.70.713860674326204-0.013860674326204
640.690.704231317292089-0.014231317292089
650.70.6943444653218190.00565553467818081
660.710.698273506676760.0117264933232401
670.720.7064201948039150.0135798051960854
680.720.7158544250303340.0041455749696655
690.730.7187344596199310.011265540380069
700.720.726560912211551-0.0065609122115512
710.740.7220028824456350.0179971175543652
720.750.7345059300201880.0154940699798117


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
730.7452700478571610.7285142195062860.762025876208037
740.7452700478571610.7248675108691920.765672584845131
750.7452700478571610.7217802788636850.768759816850638
760.7452700478571610.7190541179825920.77148597773173
770.7452700478571610.7165858935030630.77395420221126
780.7452700478571610.7143138458480130.77622624986631
790.7452700478571610.7121975188541860.778342576860137
800.7452700478571610.7102087029532070.780331392761116
810.7452700478571610.7083267989705850.782213296743738
820.7452700478571610.7065362206499650.784003875064358
830.7452700478571610.7048248367446160.785715258969707
840.7452700478571610.7031829853110560.787357110403267