Goodness of Fit
Correlation	0.9295
R-squared	0.8639
RMSE	1.7922

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	97.06	98.9978260869565	-1.93782608695653
2	97.73	98.9978260869565	-1.26782608695653
3	98	98.9978260869565	-0.997826086956536
4	97.76	98.9978260869565	-1.23782608695653
5	97.48	98.9978260869565	-1.51782608695653
6	97.77	98.9978260869565	-1.22782608695654
7	97.96	98.9978260869565	-1.03782608695654
8	98.22	98.9978260869565	-0.777826086956537
9	98.51	98.9978260869565	-0.487826086956531
10	98.19	98.9978260869565	-0.807826086956538
11	98.37	98.9978260869565	-0.627826086956532
12	98.31	98.9978260869565	-0.687826086956534
13	98.6	98.9978260869565	-0.397826086956542
14	98.96	98.9978260869565	-0.0378260869565423
15	99.11	98.9978260869565	0.112173913043463
16	99.64	98.9978260869565	0.642173913043464
17	100.02	98.9978260869565	1.02217391304346
18	99.98	102.171	-2.19100000000000
19	100.32	102.171	-1.85100000000001
20	100.44	102.171	-1.73100000000001
21	100.51	98.9978260869565	1.51217391304347
22	101	98.9978260869565	2.00217391304346
23	100.88	98.9978260869565	1.88217391304346
24	100.55	98.9978260869565	1.55217391304346
25	100.82	98.9978260869565	1.82217391304346
26	101.5	98.9978260869565	2.50217391304346
27	102.15	102.171	-0.0210000000000008
28	102.39	102.171	0.218999999999994
29	102.54	102.171	0.369
30	102.85	106.337272727273	-3.48727272727272
31	103.47	106.337272727273	-2.86727272727272
32	103.56	106.337272727273	-2.77727272727272
33	103.69	106.337272727273	-2.64727272727272
34	103.49	102.171	1.31899999999999
35	103.47	102.171	1.29899999999999
36	103.45	102.171	1.27900000000000
37	103.48	102.171	1.30900000000000
38	103.93	106.337272727273	-2.40727272727271
39	103.89	106.337272727273	-2.44727272727272
40	104.4	106.337272727273	-1.93727272727271
41	104.79	106.337272727273	-1.54727272727271
42	104.77	106.337272727273	-1.56727272727272
43	105.13	106.337272727273	-1.20727272727272
44	105.26	106.337272727273	-1.07727272727271
45	104.96	106.337272727273	-1.37727272727273
46	104.75	106.337272727273	-1.58727272727272
47	105.01	106.337272727273	-1.32727272727271
48	105.15	106.337272727273	-1.18727272727271
49	105.2	106.337272727273	-1.13727272727272
50	105.77	106.337272727273	-0.567272727272723
51	105.78	106.337272727273	-0.557272727272718
52	106.26	106.337272727273	-0.0772727272727138
53	106.13	106.337272727273	-0.207272727272724
54	106.12	106.337272727273	-0.217272727272714
55	106.57	106.337272727273	0.232727272727274
56	106.44	106.337272727273	0.102727272727279
57	106.54	106.337272727273	0.202727272727287
58	107.1	106.337272727273	0.762727272727275
59	108.1	106.337272727273	1.76272727272728
60	108.4	106.337272727273	2.06272727272729
61	108.84	106.337272727273	2.50272727272728
62	109.62	111.58	-1.95999999999999
63	110.42	111.58	-1.16000000000000
64	110.67	111.58	-0.909999999999997
65	111.66	111.58	0.0799999999999983
66	112.28	111.58	0.700000000000003
67	112.87	111.58	1.29000000000001
68	112.18	111.58	0.600000000000009
69	112.36	111.58	0.780000000000001
70	112.16	111.58	0.579999999999998
71	111.49	106.337272727273	5.15272727272728
72	111.25	106.337272727273	4.91272727272728
73	111.36	111.284444444444	0.0755555555555674
74	111.74	111.284444444444	0.455555555555563
75	111.1	111.284444444444	-0.184444444444438
76	111.33	111.284444444444	0.0455555555555662
77	111.25	111.284444444444	-0.0344444444444321
78	111.04	111.284444444444	-0.244444444444426
79	110.97	106.337272727273	4.63272727272728
80	111.31	111.284444444444	0.0255555555555702
81	111.02	106.337272727273	4.68272727272728
82	111.07	111.284444444444	-0.214444444444439
83	111.36	111.284444444444	0.0755555555555674
84	111.54	106.337272727273	5.20272727272729