Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.999933893038648
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
26.26.3-0.0999999999999996
36.26.20000661069614-6.61069613538956e-06
46.36.200000000437010.0999999995629866
56.56.299993389303890.200006610696106
66.56.499986778170721.32218292829833e-05
76.26.49999999912595-0.299999999125945
86.26.20001983208835-1.98320883475489e-05
96.26.20000000131104-1.31103927714094e-09
106.16.20000000000009-0.100000000000088
116.16.10000661069614-6.61069613538956e-06
126.26.100000000437010.0999999995629874
136.16.19999338930389-0.0999933893038945
146.16.10000661025912-6.61025912229718e-06
156.26.100000000436980.0999999995630168
166.26.199993389303896.61069610607967e-06
176.46.199999999562990.200000000437013
186.26.3999867786077-0.199986778607701
195.76.20001322051824-0.500013220518245
205.75.70003305435464-3.30543546445128e-05
215.75.70000000218512-2.18512319349884e-09
225.95.700000000000140.199999999999855
2365.899986778607730.10001322139227
246.35.999993388429840.300006611570161
256.46.299980167474520.100019832525477
266.56.39999338799280.100006612007203
276.86.499993388866770.300006611133234
2876.799980167474550.200019832525448
297.36.999986777296660.300013222703338
307.47.299980167037480.100019832962519
316.97.39999338799277-0.499993387992768
326.96.90003305304358-3.30530435759258e-05
3376.900000002185040.0999999978149635
347.16.999993389304010.10000661069599
357.27.099993388866850.100006611133149
367.17.19999338886682-0.0999933888668236
376.87.10000661025909-0.300006610259093
386.56.80001983252539-0.30001983252539
396.46.50001983339947-0.100019833399474
406.56.400006612007260.0999933879927388
416.76.499993389740960.200006610259035
426.66.69998677817075-0.099986778170746
436.26.60000660982208-0.400006609822079
446.26.2000264432215-2.64432214960308e-05
456.56.200000001748080.299999998251919
466.86.499980167911710.30001983208829
476.86.799980166600561.98333994445576e-05
486.56.79999999868887-0.299999998688874
495.96.50001983208832-0.600019832088319
505.55.90003966548785-0.40003966548785
515.65.500026445406710.0999735545932943
5265.599993391052090.40000660894791
536.35.999973556778560.300026443221438
546.26.29998016616351-0.0999801661635127
555.66.20000660938498-0.600006609384981
565.45.60003966461374-0.200039664613737
575.75.400013224014380.299986775985622
585.95.699980168785790.200019831214206
596.25.899986777296750.300013222703251
606.36.199980167037480.100019832962518
616.16.29999338799277-0.199993387992768
625.96.10001322095517-0.20001322095517
635.95.90001322226627-1.3222266267654e-05
645.75.90000000087408-0.200000000874084
655.95.700013221392330.199986778607672
666.15.899986779481760.200013220518244
676.16.099986777733761.32222662383441e-05
686.56.099999999125920.400000000874084
696.86.49997355721540.300026442784598
706.86.799980166163541.983383645765e-05
716.96.799999998688850.100000001311155
726.96.899993389303786.61069622154287e-06
736.86.89999999956299-0.0999999995629874
746.66.80000661069611-0.200006610696106
756.56.60001322182928-0.100013221829283
766.56.50000661157019-6.61157018999603e-06


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
776.500000000437076.054707798127646.9452922027465
786.500000000437075.870282543409877.12971745746427
796.500000000437075.72876527226937.27123472860484
806.500000000437075.609459750824947.3905402500492
816.500000000437075.504349024227817.49565097664633
826.500000000437075.409321405857687.59067859501646
836.500000000437075.321934328701887.67806567217226
846.500000000437075.240596309332387.75940369154176
856.500000000437075.16420189165897.83579810921524
866.500000000437075.091946195476997.90805380539715
876.500000000437075.023221598675397.97677840219875
886.500000000437074.957556037708778.04244396316537