Estimated Parameters of Exponential Smoothing
Parameter	Value
alpha	0.964788833633748
beta	1
gamma	1

Interpolation Forecasts of Exponential Smoothing
t	Observed	Fitted	Residuals
13	99.8	99.6726228632479	0.127377136752116
14	99.9	99.986894703883	-0.0868947038830328
15	100	99.9897710919696	0.0102289080303564
16	100.2	100.192053325894	0.00794667410625038
17	100.2	100.228967215121	-0.0289672151210425
18	100.2	100.243986417192	-0.0439864171922721
19	100.2	99.7937443233431	0.406255676656883
20	100.1	100.38234171451	-0.282341714510395
21	100.2	100.109187898381	0.0908121016185106
22	100.1	100.541996552215	-0.441996552215301
23	99.9	100.200990694952	-0.300990694951523
24	99.8	99.7889665860693	0.0110334139307326
25	99.9	99.4764431987051	0.423556801294907
26	99.8	99.8418641157333	-0.0418641157333326
27	99.8	99.7079933614357	0.0920066385642855
28	99.9	99.8843797310993	0.0156202689006903
29	99.9	99.8300868909737	0.069913109026345
30	99.9	99.9380641677994	-0.0380641677993765
31	99.9	99.5131913491642	0.386808650835818
32	100	100.043819882171	-0.0438198821706806
33	100.1	100.229091380479	-0.12909138047867
34	100.2	100.43398130507	-0.233981305069619
35	100.4	100.502324512761	-0.102324512761228
36	100.6	100.688322261668	-0.0883222616677273
37	101	100.593974021958	0.40602597804228
38	101.3	101.208686805016	0.0913131949836981
39	101.5	101.619099182555	-0.119099182554862
40	101.6	101.796532225348	-0.196532225348321
41	101.7	101.542195249722	0.157804750278146
42	102.1	101.81869077654	0.281309223459502
43	102.6	102.112557370501	0.487442629499114
44	102.8	103.217855311834	-0.417855311834415
45	102.8	103.17113569173	-0.371135691729521
46	102.5	103.03716561868	-0.537165618680092
47	102.1	102.423481882664	-0.323481882664268
48	101.8	101.789078452627	0.0109215473733855
49	101.5	101.29611137499	0.203888625010435
50	101.3	100.997928296947	0.302071703053031
51	101.5	101.100812123738	0.399187876262204
52	101.7	101.772136652011	-0.0721366520110678
53	101.9	101.76688764107	0.133112358930106
54	102	102.116681903922	-0.116681903921631
55	101.9	101.7426248473	0.157375152700297
56	102	101.887950907634	0.112049092365794
57	102.3	102.255718175362	0.0442818246377357
58	102.8	102.819078340558	-0.0190783405583375
59	103.6	103.514994464218	0.0850055357815762
60	104.2	104.4828049543	-0.282804954299834
61	104.4	104.626199459938	-0.226199459937561
62	104.6	104.414536195274	0.1854638047257
63	104.8	104.793842453878	0.00615754612181263
64	105.2	105.075693404477	0.124306595522697
65	105.8	105.463037536436	0.336962463564234
66	106.1	106.393220695479	-0.293220695478581
67	106.2	106.080680336728	0.119319663271867
68	106.4	106.373168875148	0.0268311248523077
69	106.9	106.759589264169	0.140410735831097
70	107.4	107.609463273578	-0.209463273577995
71	108	108.137682526407	-0.137682526406977
72	108.5	108.675167540517	-0.175167540517293
73	108.9	108.825722457601	0.0742775423990452

Extrapolation Forecasts of Exponential Smoothing
t	Forecast	95% Lower Bound	95% Upper Bound
74	109.109667940941	108.659451740171	109.55988414171
75	109.316010549044	108.337551838796	110.294469259291
76	109.602423541839	107.972875508437	111.231971575241
77	109.763738912434	107.381686420556	112.145791404312
78	109.907950335817	106.684448094393	113.131452577241
79	109.737043480442	105.591787386727	113.882299574158
80	109.640250255416	104.499427205531	114.781073305302
81	109.707990320338	103.502907665463	115.913072975212
82	109.977818212664	102.643961187649	117.31167523768
83	110.480480669054	101.956829493122	119.004131844987
84	111.052142812551	101.280658499471	120.823627125631
85	111.452142812551	100.377368268171	122.526917356931