Goodness of Fit
Correlation	0.9808
R-squared	0.9619
RMSE	1.395

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	22.037	23.2437222222222	-1.20672222222222
2	21.732	23.2437222222222	-1.51172222222222
3	21.172	23.2437222222222	-2.07172222222222
4	21.388	23.2437222222222	-1.85572222222222
5	22.053	23.2437222222222	-1.19072222222222
6	22.687	23.2437222222222	-0.55672222222222
7	24.793	27.1006875	-2.3076875
8	26.113	27.1006875	-0.9876875
9	23.708	23.2437222222222	0.464277777777777
10	23.554	23.2437222222222	0.310277777777777
11	23.222	23.2437222222222	-0.0217222222222198
12	23.363	23.2437222222222	0.119277777777778
13	24.023	23.2437222222222	0.779277777777779
14	23.355	23.2437222222222	0.111277777777779
15	23.276	23.2437222222222	0.0322777777777787
16	23.085	23.2437222222222	-0.158722222222220
17	23.173	23.2437222222222	-0.0707222222222228
18	23.487	23.2437222222222	0.243277777777777
19	25.576	27.1006875	-1.5246875
20	26.311	27.1006875	-0.7896875
21	27.109	27.1006875	0.00831250000000239
22	27.06	27.1006875	-0.0406875000000007
23	26.49	23.2437222222222	3.24627777777778
24	27.157	27.1006875	0.0563125000000007
25	26.973	27.1006875	-0.127687500000000
26	27.589	27.1006875	0.488312499999999
27	27.246	27.1006875	0.145312499999999
28	26.845	27.1006875	-0.255687500000001
29	26.582	23.2437222222222	3.33827777777778
30	26.544	27.1006875	-0.556687499999999
31	29.105	27.1006875	2.0043125
32	28.703	27.1006875	1.6023125
33	27.921	27.1006875	0.8203125
34	28.566	27.1006875	1.4653125
35	29.86	31.01125	-1.15125
36	30.194	31.01125	-0.817250000000001
37	31.33	31.01125	0.318749999999998
38	31.018	31.01125	0.00675000000000026
39	30.954	31.01125	-0.0572499999999998
40	31.398	31.01125	0.386749999999999
41	31.267	31.01125	0.255749999999999
42	32.069	31.01125	1.05775000000000
43	34.665	34.9148461538462	-0.249846153846157
44	35.834	34.9148461538462	0.919153846153847
45	34.034	34.9148461538462	-0.880846153846157
46	34.435	34.9148461538462	-0.479846153846154
47	34	34.9148461538462	-0.914846153846156
48	35.216	34.9148461538462	0.301153846153845
49	35.734	34.9148461538462	0.819153846153846
50	35.347	34.9148461538462	0.432153846153845
51	35.357	34.9148461538462	0.442153846153843
52	34.802	34.9148461538462	-0.112846153846156
53	34.493	34.9148461538462	-0.421846153846154
54	35.047	34.9148461538462	0.132153846153841
55	37.386	35.7877647058824	1.59823529411765
56	38.691	37.5239523809524	1.16704761904762
57	37.249	35.7877647058824	1.46123529411765
58	37.668	37.5239523809524	0.144047619047619
59	36.764	37.5239523809524	-0.759952380952377
60	37.926	37.5239523809524	0.402047619047622
61	38.145	37.5239523809524	0.621047619047623
62	37.664	37.5239523809524	0.140047619047621
63	37.449	37.5239523809524	-0.0749523809523822
64	37.389	37.5239523809524	-0.134952380952377
65	37.121	37.5239523809524	-0.402952380952378
66	37.447	37.5239523809524	-0.0769523809523776
67	39.751	41.6092857142857	-1.85828571428571
68	40.154	41.6092857142857	-1.45528571428571
69	38.814	37.5239523809524	1.29004761904762
70	38.673	37.5239523809524	1.14904761904762
71	37.948	37.5239523809524	0.42404761904762
72	39.161	41.6092857142857	-2.44828571428571
73	37.408	37.5239523809524	-0.115952380952379
74	37.356	37.5239523809524	-0.167952380952379
75	36.606	37.5239523809524	-0.917952380952379
76	37.04	37.5239523809524	-0.483952380952381
77	36.349	37.5239523809524	-1.17495238095238
78	36.158	37.5239523809524	-1.36595238095238
79	37.342	41.6092857142857	-4.26728571428571
80	36.8	41.663875	-4.863875
81	37.135	37.5239523809524	-0.388952380952382
82	34.265	35.7877647058824	-1.52276470588235
83	33.226	35.7877647058824	-2.56176470588235
84	32.357	35.7877647058824	-3.43076470588235
85	36.87	35.7877647058824	1.08223529411764
86	35.88	35.7877647058824	0.0922352941176499
87	34.808	35.7877647058824	-0.979764705882353
88	34.025	33.7393	0.285699999999999
89	33.901	33.7393	0.161700000000003
90	37.459	35.7877647058824	1.67123529411765
91	37.152	35.7877647058824	1.36423529411765
92	34.929	34.9148461538462	0.0141538461538460
93	34.116	33.7393	0.376700000000000
94	33.71	33.7393	-0.0292999999999992
95	34.264	33.7393	0.524700000000003
96	34.826	35.7877647058824	-0.961764705882352
97	34.096	33.7393	0.356699999999996
98	33.955	33.7393	0.215699999999998
99	34.111	33.7393	0.371699999999997
100	32.344	33.7393	-1.3953
101	32.871	33.7393	-0.868299999999998
102	36.244	35.7877647058824	0.456235294117647
103	35.988	35.7877647058824	0.200235294117647
104	35.439	35.7877647058824	-0.348764705882353
105	35.692	35.7877647058824	-0.0957647058823525
106	35.804	35.7877647058824	0.0162352941176493
107	37.747	35.7877647058824	1.95923529411765
108	40.673	41.663875	-0.990874999999996
109	41.601	41.663875	-0.0628749999999982
110	42.273	41.663875	0.609125000000006
111	41.952	41.663875	0.288125000000001
112	41.463	41.663875	-0.200874999999996
113	42.759	41.663875	1.09512500000000
114	45.434	41.6092857142857	3.82471428571429
115	45.776	47.4929230769231	-1.71692307692307
116	44.63	41.6092857142857	3.02071428571429
117	44.793	41.6092857142857	3.18371428571429
118	44.757	47.4929230769231	-2.73592307692308
119	49.099	47.4929230769231	1.60607692307692
120	47.974	47.4929230769231	0.48107692307692
121	47.919	47.4929230769231	0.42607692307692
122	47.519	47.4929230769231	0.0260769230769213
123	47.136	47.4929230769231	-0.356923076923074
124	45.91	47.4929230769231	-1.58292307692308
125	46.436	47.4929230769231	-1.05692307692308
126	50.334	47.4929230769231	2.84107692307693
127	50.294	47.4929230769231	2.80107692307692
128	47.224	47.4929230769231	-0.268923076923080
129	47.03	47.4929230769231	-0.462923076923076
130	45.79	41.663875	4.126125
131	38.252	37.5239523809524	0.728047619047622