Estimated Parameters of Exponential Smoothing
Parameter	Value
alpha	0.999932422965254
beta	FALSE
gamma	FALSE

Interpolation Forecasts of Exponential Smoothing
t	Observed	Fitted	Residuals
2	96.9	96.4	0.5
3	98.1	96.8999662114826	1.20003378851736
4	99.2	98.099918905275	1.10008109472503
5	100	99.1999256597816	0.800074340218359
6	100.3	99.9999459333485	0.300054066651484
7	100.3	100.299979723236	2.02767640899992e-05
8	100.8	100.29999999863	0.500000001370239
9	101.3	100.799966211483	0.500033788517456
10	101.4	101.299966209199	0.100033790800708
11	101.9	101.399993240013	0.500006759986945
12	103.4	101.899966211026	1.50003378897419
13	105.6	103.399898632165	2.20010136783546
14	107.5	105.599851323673	1.90014867632658
15	109	107.499871593587	1.50012840641313
16	110.5	108.999898625771	1.50010137422944
17	109.8	110.499898627597	-0.699898627597307
18	109.6	109.800047297074	-0.20004729707388
19	109.6	109.600013518603	-1.35186031542389e-05
20	108.8	109.600000000914	-0.800000000913556
21	109.4	108.800054061628	0.599945938372144
22	109.1	109.399959457432	-0.299959457432493
23	109	109.100020270371	-0.100020270370678
24	109.2	109.000006759073	0.199993240926716
25	110.5	109.19998648505	1.30001351495018
26	112.2	110.499912148942	1.70008785105848
27	113.2	112.199885113104	1.00011488689577
28	113.6	113.199932415202	0.400067584798464
29	113.2	113.599972964619	-0.399972964618911
30	112.2	113.200027028987	-1.00002702898692
31	112.2	112.200067578861	-6.757886129094e-05
32	113.2	112.200000004567	0.999999995433214
33	113.8	113.199932422966	0.600067577034437
34	113.8	113.799959449212	4.05507875029798e-05
35	113.7	113.79999999726	-0.0999999972596868
36	113.9	113.700006757703	0.199993242296713
37	114	113.89998648505	0.100013514950277
38	114.3	113.999993241383	0.300006758616775
39	114.3	114.299979726433	2.02735671450682e-05
40	112.8	114.29999999863	-1.49999999862997
41	112.3	112.800101365552	-0.500101365552027
42	112.2	112.300033795367	-0.100033795367352
43	112.6	112.200006759987	0.399993240012719
44	111.9	112.599972969643	-0.699972969642914
45	111.7	111.900047302098	-0.200047302097701
46	111	111.700013518603	-0.700013518603484
47	110.8	111.000047304838	-0.200047304837867
48	111.1	110.800013518604	0.299986481396331
49	110.5	111.099979727803	-0.599979727803117
50	110.5	110.500040544851	-4.05448509042117e-05
51	109.8	110.50000000274	-0.700000002739898
52	109	109.800047303925	-0.800047303924515
53	109	109.000054064824	-5.40648244538033e-05
54	109.4	109.000000003654	0.399999996346466
55	108.8	109.399972969186	-0.599972969186368
56	108.4	108.800040544394	-0.400040544394173
57	108.3	108.400027033554	-0.100027033553772
58	108.2	108.30000675953	-0.100006759530316
59	106.8	108.20000675816	-1.40000675816027
60	103.6	106.800094608305	-3.20009460830535

Extrapolation Forecasts of Exponential Smoothing
t	Forecast	95% Lower Bound	95% Upper Bound
61	103.600216252905	101.835783801807	105.364648704002
62	103.600216252905	101.105016261204	106.095416244605
63	103.600216252905	100.544267280379	106.65616522543
64	103.600216252905	100.071530201868	107.128902303941
65	103.600216252905	99.6550386433567	107.545393862452
66	103.600216252905	99.2785004483918	107.921932057417
67	103.600216252905	98.9322371806428	108.268195325166
68	103.600216252905	98.6099427390407	108.590489766768
69	103.600216252905	98.3072368587193	108.89319564709
70	103.600216252905	98.0209302778566	109.179502227952
71	103.600216252905	97.7486153509748	109.451817154834
72	103.600216252905	97.488421570525	109.712010935284