Goodness of Fit | |
Correlation | NA |
R-squared | NA |
RMSE | 1.7904 |
Actuals, Predictions, and Residuals | |||
# | Actuals | Forecasts | Residuals |
1 | 5 | 11 | -6 |
2 | 12 | 11 | 1 |
3 | 11 | 11 | 0 |
4 | 6 | 11 | -5 |
5 | 12 | 11 | 1 |
6 | 11 | 11 | 0 |
7 | 12 | 11 | 1 |
8 | 7 | 11 | -4 |
9 | 8 | 11 | -3 |
10 | 13 | 11 | 2 |
11 | 12 | 11 | 1 |
12 | 13 | 11 | 2 |
13 | 12 | 11 | 1 |
14 | 12 | 11 | 1 |
15 | 11 | 11 | 0 |
16 | 12 | 11 | 1 |
17 | 12 | 11 | 1 |
18 | 12 | 11 | 1 |
19 | 11 | 11 | 0 |
20 | 13 | 11 | 2 |
21 | 9 | 11 | -2 |
22 | 11 | 11 | 0 |
23 | 11 | 11 | 0 |
24 | 11 | 11 | 0 |
25 | 9 | 11 | -2 |
26 | 11 | 11 | 0 |
27 | 12 | 11 | 1 |
28 | 12 | 11 | 1 |
29 | 10 | 11 | -1 |
30 | 12 | 11 | 1 |
31 | 12 | 11 | 1 |
32 | 12 | 11 | 1 |
33 | 9 | 11 | -2 |
34 | 9 | 11 | -2 |
35 | 12 | 11 | 1 |
36 | 14 | 11 | 3 |
37 | 12 | 11 | 1 |
38 | 11 | 11 | 0 |
39 | 9 | 11 | -2 |
40 | 11 | 11 | 0 |
41 | 7 | 11 | -4 |
42 | 15 | 11 | 4 |
43 | 11 | 11 | 0 |
44 | 12 | 11 | 1 |
45 | 12 | 11 | 1 |
46 | 9 | 11 | -2 |
47 | 12 | 11 | 1 |
48 | 11 | 11 | 0 |
49 | 11 | 11 | 0 |
50 | 8 | 11 | -3 |
51 | 7 | 11 | -4 |
52 | 12 | 11 | 1 |
53 | 8 | 11 | -3 |
54 | 10 | 11 | -1 |
55 | 12 | 11 | 1 |
56 | 15 | 11 | 4 |
57 | 12 | 11 | 1 |
58 | 12 | 11 | 1 |
59 | 12 | 11 | 1 |
60 | 12 | 11 | 1 |
61 | 8 | 11 | -3 |
62 | 10 | 11 | -1 |
63 | 14 | 11 | 3 |
64 | 10 | 11 | -1 |
65 | 12 | 11 | 1 |
66 | 14 | 11 | 3 |
67 | 6 | 11 | -5 |
68 | 11 | 11 | 0 |
69 | 10 | 11 | -1 |
70 | 14 | 11 | 3 |
71 | 12 | 11 | 1 |
72 | 13 | 11 | 2 |
73 | 11 | 11 | 0 |
74 | 11 | 11 | 0 |
75 | 12 | 11 | 1 |
76 | 13 | 11 | 2 |
77 | 12 | 11 | 1 |
78 | 8 | 11 | -3 |
79 | 12 | 11 | 1 |
80 | 11 | 11 | 0 |
81 | 10 | 11 | -1 |
82 | 12 | 11 | 1 |
83 | 11 | 11 | 0 |
84 | 12 | 11 | 1 |
85 | 12 | 11 | 1 |
86 | 10 | 11 | -1 |
87 | 12 | 11 | 1 |
88 | 12 | 11 | 1 |
89 | 11 | 11 | 0 |
90 | 10 | 11 | -1 |
91 | 12 | 11 | 1 |
92 | 11 | 11 | 0 |
93 | 12 | 11 | 1 |
94 | 12 | 11 | 1 |
95 | 10 | 11 | -1 |
96 | 11 | 11 | 0 |
97 | 10 | 11 | -1 |
98 | 11 | 11 | 0 |
99 | 11 | 11 | 0 |
100 | 12 | 11 | 1 |
101 | 11 | 11 | 0 |
102 | 11 | 11 | 0 |
103 | 7 | 11 | -4 |
104 | 12 | 11 | 1 |
105 | 8 | 11 | -3 |
106 | 10 | 11 | -1 |
107 | 12 | 11 | 1 |
108 | 11 | 11 | 0 |
109 | 13 | 11 | 2 |
110 | 9 | 11 | -2 |
111 | 11 | 11 | 0 |
112 | 13 | 11 | 2 |
113 | 8 | 11 | -3 |
114 | 12 | 11 | 1 |
115 | 11 | 11 | 0 |
116 | 11 | 11 | 0 |
117 | 12 | 11 | 1 |
118 | 13 | 11 | 2 |
119 | 11 | 11 | 0 |
120 | 10 | 11 | -1 |
121 | 10 | 11 | -1 |
122 | 10 | 11 | -1 |
123 | 12 | 11 | 1 |
124 | 12 | 11 | 1 |
125 | 13 | 11 | 2 |
126 | 11 | 11 | 0 |
127 | 11 | 11 | 0 |
128 | 12 | 11 | 1 |
129 | 9 | 11 | -2 |
130 | 11 | 11 | 0 |
131 | 12 | 11 | 1 |
132 | 12 | 11 | 1 |
133 | 13 | 11 | 2 |
134 | 6 | 11 | -5 |
135 | 11 | 11 | 0 |
136 | 10 | 11 | -1 |
137 | 12 | 11 | 1 |
138 | 11 | 11 | 0 |
139 | 12 | 11 | 1 |
140 | 12 | 11 | 1 |
141 | 7 | 11 | -4 |
142 | 12 | 11 | 1 |
143 | 12 | 11 | 1 |
144 | 9 | 11 | -2 |
145 | 12 | 11 | 1 |
146 | 12 | 11 | 1 |