Goodness of Fit
Correlation	0.7989
R-squared	0.6383
RMSE	5.9402

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	94.6	91.5384615384615	3.06153846153846
2	95.9	91.5384615384615	4.36153846153847
3	104.7	100.924242424242	3.77575757575758
4	102.8	100.924242424242	1.87575757575758
5	98.1	100.924242424242	-2.82424242424243
6	113.9	100.924242424242	12.9757575757576
7	80.9	91.5384615384615	-10.6384615384615
8	95.7	91.5384615384615	4.16153846153847
9	113.2	100.924242424242	12.2757575757576
10	105.9	100.924242424242	4.97575757575758
11	108.8	100.924242424242	7.87575757575758
12	102.3	100.924242424242	1.37575757575758
13	99	100.924242424242	-1.92424242424242
14	100.7	100.924242424242	-0.224242424242419
15	115.5	113.413636363636	2.08636363636364
16	100.7	100.924242424242	-0.224242424242419
17	109.9	100.924242424242	8.97575757575758
18	114.6	113.413636363636	1.18636363636364
19	85.4	100.924242424242	-15.5242424242424
20	100.5	91.5384615384615	8.96153846153847
21	114.8	113.413636363636	1.38636363636364
22	116.5	113.413636363636	3.08636363636364
23	112.9	113.413636363636	-0.513636363636351
24	102	100.924242424242	1.07575757575758
25	106	100.924242424242	5.07575757575758
26	105.3	100.924242424242	4.37575757575758
27	118.8	113.413636363636	5.38636363636364
28	106.1	100.924242424242	5.17575757575757
29	109.3	113.413636363636	-4.11363636363636
30	117.2	113.413636363636	3.78636363636365
31	92.5	100.924242424242	-8.42424242424242
32	104.2	100.924242424242	3.27575757575758
33	112.5	113.413636363636	-0.913636363636357
34	122.4	113.413636363636	8.98636363636365
35	113.3	113.413636363636	-0.11363636363636
36	100	100.924242424242	-0.924242424242422
37	110.7	113.413636363636	-2.71363636363635
38	112.8	113.413636363636	-0.61363636363636
39	109.8	113.413636363636	-3.61363636363636
40	117.3	113.413636363636	3.88636363636364
41	109.1	113.413636363636	-4.31363636363636
42	115.9	113.413636363636	2.48636363636365
43	96	113.413636363636	-17.4136363636364
44	99.8	100.924242424242	-1.12424242424242
45	116.8	113.413636363636	3.38636363636364
46	115.7	113.413636363636	2.28636363636365
47	99.4	100.924242424242	-1.52424242424242
48	94.3	91.5384615384615	2.76153846153846
49	91	91.5384615384615	-0.538461538461533
50	93.2	91.5384615384615	1.66153846153847
51	103.1	100.924242424242	2.17575757575757
52	94.1	91.5384615384615	2.56153846153846
53	91.8	91.5384615384615	0.261538461538464
54	102.7	100.924242424242	1.77575757575758
55	82.6	91.5384615384615	-8.93846153846154
56	89.1	91.5384615384615	-2.43846153846154
57	104.5	100.924242424242	3.57575757575758
58	105.1	100.924242424242	4.17575757575757
59	95.1	100.924242424242	-5.82424242424243
60	88.7	100.924242424242	-12.2242424242424
61	86.3	91.5384615384615	-5.23846153846154
62	91.8	100.924242424242	-9.12424242424242
63	111.5	113.413636363636	-1.91363636363636
64	99.7	100.924242424242	-1.22424242424242
65	97.5	100.924242424242	-3.42424242424242
66	111.7	113.413636363636	-1.71363636363635
67	86.2	100.924242424242	-14.7242424242424
68	95.4	100.924242424242	-5.52424242424242