Goodness of Fit
Correlation	0.6745
R-squared	0.4549
RMSE	2.1611

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	15	12.7931034482759	2.20689655172414
2	12	8.93548387096774	3.06451612903226
3	15	14.32	0.68
4	12	11.1481481481481	0.851851851851851
5	14	12.7931034482759	1.20689655172414
6	8	8.93548387096774	-0.935483870967742
7	11	12.7931034482759	-1.79310344827586
8	15	8.93548387096774	6.06451612903226
9	4	8.93548387096774	-4.93548387096774
10	13	11.1481481481481	1.85185185185185
11	19	14.32	4.68
12	10	11.1481481481481	-1.14814814814815
13	15	14.32	0.68
14	6	12.7931034482759	-6.79310344827586
15	7	8.93548387096774	-1.93548387096774
16	14	12.7931034482759	1.20689655172414
17	16	14.32	1.68
18	16	14.32	1.68
19	14	11.1481481481481	2.85185185185185
20	15	14.32	0.68
21	14	14.32	-0.32
22	12	11.2631578947368	0.736842105263158
23	9	8.93548387096774	0.064516129032258
24	12	11.2631578947368	0.736842105263158
25	14	14.32	-0.32
26	12	12.7931034482759	-0.793103448275861
27	14	11.1481481481481	2.85185185185185
28	10	11.1481481481481	-1.14814814814815
29	14	12.7931034482759	1.20689655172414
30	16	14.32	1.68
31	10	8.93548387096774	1.06451612903226
32	8	11.2631578947368	-3.26315789473684
33	12	11.1481481481481	0.851851851851851
34	11	11.1481481481481	-0.148148148148149
35	8	8.93548387096774	-0.935483870967742
36	13	14.32	-1.32
37	11	11.2631578947368	-0.263157894736842
38	12	8.93548387096774	3.06451612903226
39	16	14.32	1.68
40	16	14.32	1.68
41	13	14.32	-1.32
42	14	14.32	-0.32
43	5	8.93548387096774	-3.93548387096774
44	14	14.32	-0.32
45	13	8.93548387096774	4.06451612903226
46	16	14.32	1.68
47	14	14.32	-0.32
48	15	14.32	0.68
49	15	14.32	0.68
50	11	14.32	-3.32
51	15	12.7931034482759	2.20689655172414
52	16	14.32	1.68
53	13	14.32	-1.32
54	11	12.7931034482759	-1.79310344827586
55	12	12.7931034482759	-0.793103448275861
56	12	11.1481481481481	0.851851851851851
57	10	14.32	-4.32
58	8	11.1481481481481	-3.14814814814815
59	9	8.93548387096774	0.064516129032258
60	12	12.7931034482759	-0.793103448275861
61	14	14.32	-0.32
62	12	12.7931034482759	-0.793103448275861
63	11	11.2631578947368	-0.263157894736842
64	14	14.32	-0.32
65	7	8.93548387096774	-1.93548387096774
66	16	14.32	1.68
67	16	14.32	1.68
68	11	11.1481481481481	-0.148148148148149
69	16	14.32	1.68
70	13	11.1481481481481	1.85185185185185
71	11	11.1481481481481	-0.148148148148149
72	13	12.7931034482759	0.206896551724139
73	14	12.7931034482759	1.20689655172414
74	15	11.2631578947368	3.73684210526316
75	10	11.1481481481481	-1.14814814814815
76	15	14.32	0.68
77	11	11.1481481481481	-0.148148148148149
78	11	11.1481481481481	-0.148148148148149
79	6	8.93548387096774	-2.93548387096774
80	11	11.2631578947368	-0.263157894736842
81	12	11.2631578947368	0.736842105263158
82	13	14.32	-1.32
83	12	11.1481481481481	0.851851851851851
84	8	11.1481481481481	-3.14814814814815
85	9	8.93548387096774	0.064516129032258
86	10	11.2631578947368	-1.26315789473684
87	16	14.32	1.68
88	15	12.7931034482759	2.20689655172414
89	14	12.7931034482759	1.20689655172414
90	12	12.7931034482759	-0.793103448275861
91	12	11.1481481481481	0.851851851851851
92	10	8.93548387096774	1.06451612903226
93	12	11.2631578947368	0.736842105263158
94	8	8.93548387096774	-0.935483870967742
95	16	14.32	1.68
96	11	8.93548387096774	2.06451612903226
97	12	11.2631578947368	0.736842105263158
98	9	12.7931034482759	-3.79310344827586
99	14	12.7931034482759	1.20689655172414
100	15	14.32	0.68
101	8	11.2631578947368	-3.26315789473684
102	12	14.32	-2.32
103	10	11.1481481481481	-1.14814814814815
104	16	14.32	1.68
105	17	14.32	2.68
106	8	11.2631578947368	-3.26315789473684
107	9	11.1481481481481	-2.14814814814815
108	8	11.2631578947368	-3.26315789473684
109	11	11.1481481481481	-0.148148148148149
110	16	14.32	1.68
111	13	14.32	-1.32
112	5	8.93548387096774	-3.93548387096774
113	15	12.7931034482759	2.20689655172414
114	15	12.7931034482759	2.20689655172414
115	12	12.7931034482759	-0.793103448275861
116	12	12.7931034482759	-0.793103448275861
117	16	14.32	1.68
118	12	12.7931034482759	-0.793103448275861
119	10	11.1481481481481	-1.14814814814815
120	12	11.1481481481481	0.851851851851851
121	4	8.93548387096774	-4.93548387096774
122	11	14.32	-3.32
123	16	14.32	1.68
124	7	8.93548387096774	-1.93548387096774
125	9	8.93548387096774	0.064516129032258
126	14	8.93548387096774	5.06451612903226
127	11	8.93548387096774	2.06451612903226
128	10	11.1481481481481	-1.14814814814815
129	6	8.93548387096774	-2.93548387096774
130	14	12.7931034482759	1.20689655172414
131	11	11.1481481481481	-0.148148148148149
132	11	8.93548387096774	2.06451612903226
133	9	14.32	-5.32
134	16	11.2631578947368	4.73684210526316
135	7	8.93548387096774	-1.93548387096774
136	8	8.93548387096774	-0.935483870967742
137	10	8.93548387096774	1.06451612903226
138	14	12.7931034482759	1.20689655172414
139	9	8.93548387096774	0.064516129032258
140	13	12.7931034482759	0.206896551724139
141	13	8.93548387096774	4.06451612903226
142	12	14.32	-2.32
143	11	14.32	-3.32
144	10	14.32	-4.32
145	12	12.7931034482759	-0.793103448275861
146	14	14.32	-0.32
147	11	14.32	-3.32
148	13	11.2631578947368	1.73684210526316
149	14	14.32	-0.32
150	13	12.7931034482759	0.206896551724139
151	16	14.32	1.68
152	13	11.1481481481481	1.85185185185185
153	12	11.2631578947368	0.736842105263158
154	9	11.2631578947368	-2.26315789473684
155	14	11.2631578947368	2.73684210526316
156	15	14.32	0.68