Goodness of Fit | |
Correlation | 0.433 |
R-squared | 0.1875 |
RMSE | 0.7928 |
Actuals, Predictions, and Residuals | |||
# | Actuals | Forecasts | Residuals |
1 | 2 | 0.793103448275862 | 1.20689655172414 |
2 | 2 | 0.793103448275862 | 1.20689655172414 |
3 | 1.5 | 1.90625 | -0.40625 |
4 | 0 | 0.793103448275862 | -0.793103448275862 |
5 | 1 | 1.3 | -0.3 |
6 | 2 | 1.3 | 0.7 |
7 | 2 | 1.3 | 0.7 |
8 | 1 | 1.3 | -0.3 |
9 | 2 | 1.90625 | 0.09375 |
10 | 2 | 0.793103448275862 | 1.20689655172414 |
11 | 2 | 0.793103448275862 | 1.20689655172414 |
12 | 0 | 1.3 | -1.3 |
13 | 0 | 1.3 | -1.3 |
14 | 2 | 0.793103448275862 | 1.20689655172414 |
15 | 2 | 1.3 | 0.7 |
16 | 2 | 0.793103448275862 | 1.20689655172414 |
17 | 0.5 | 1.3 | -0.8 |
18 | 2 | 1.3 | 0.7 |
19 | 0 | 1.3 | -1.3 |
20 | 2 | 1.3 | 0.7 |
21 | 0 | 0.793103448275862 | -0.793103448275862 |
22 | 2 | 1.90625 | 0.09375 |
23 | 0 | 1.3 | -1.3 |
24 | 2 | 0.793103448275862 | 1.20689655172414 |
25 | 1 | 1.3 | -0.3 |
26 | 0.5 | 0.793103448275862 | -0.293103448275862 |
27 | 2 | 0.793103448275862 | 1.20689655172414 |
28 | 0.5 | 1.3 | -0.8 |
29 | 0.5 | 1.3 | -0.8 |
30 | 2 | 0.793103448275862 | 1.20689655172414 |
31 | 0 | 1.3 | -1.3 |
32 | 1 | 1.3 | -0.3 |
33 | 2 | 1.90625 | 0.09375 |
34 | 1 | 1.3 | -0.3 |
35 | 2 | 1.90625 | 0.09375 |
36 | 0 | 0.793103448275862 | -0.793103448275862 |
37 | 0.5 | 1.3 | -0.8 |
38 | 0 | 1.3 | -1.3 |
39 | 2 | 1.90625 | 0.09375 |
40 | 0 | 0.793103448275862 | -0.793103448275862 |
41 | 1 | 0.793103448275862 | 0.206896551724138 |
42 | 2 | 1.90625 | 0.09375 |
43 | 0.5 | 0.793103448275862 | -0.293103448275862 |
44 | 2 | 1.3 | 0.7 |
45 | 2 | 1.3 | 0.7 |
46 | 2 | 1.3 | 0.7 |
47 | 0 | 0.793103448275862 | -0.793103448275862 |
48 | 0 | 1.3 | -1.3 |
49 | 0.5 | 1.3 | -0.8 |
50 | 2 | 0.793103448275862 | 1.20689655172414 |
51 | 0 | 1.3 | -1.3 |
52 | 2 | 1.90625 | 0.09375 |
53 | 1 | 1.3 | -0.3 |
54 | 0 | 1.3 | -1.3 |
55 | 2 | 1.3 | 0.7 |
56 | 1 | 0.793103448275862 | 0.206896551724138 |
57 | 2 | 1.3 | 0.7 |
58 | 0 | 0.793103448275862 | -0.793103448275862 |
59 | 1 | 1.90625 | -0.90625 |
60 | 2 | 1.90625 | 0.09375 |
61 | 0 | 0.793103448275862 | -0.793103448275862 |
62 | 0 | 0.793103448275862 | -0.793103448275862 |
63 | 0 | 0.793103448275862 | -0.793103448275862 |
64 | 0 | 0.793103448275862 | -0.793103448275862 |
65 | 2 | 1.3 | 0.7 |
66 | 2 | 1.3 | 0.7 |
67 | 2 | 1.3 | 0.7 |
68 | 2 | 1.3 | 0.7 |
69 | 2 | 1.3 | 0.7 |
70 | 2 | 1.3 | 0.7 |
71 | 2 | 1.3 | 0.7 |
72 | 2 | 1.90625 | 0.09375 |
73 | 2 | 1.90625 | 0.09375 |
74 | 2 | 1.3 | 0.7 |
75 | 2 | 1.90625 | 0.09375 |
76 | 2 | 1.90625 | 0.09375 |
77 | 2 | 1.3 | 0.7 |
78 | 0 | 0.793103448275862 | -0.793103448275862 |
79 | 2 | 1.3 | 0.7 |
80 | 2 | 1.3 | 0.7 |
81 | 2 | 1.3 | 0.7 |
82 | 2 | 1.3 | 0.7 |
83 | 2 | 1.90625 | 0.09375 |
84 | 2 | 1.90625 | 0.09375 |
85 | 0 | 0.793103448275862 | -0.793103448275862 |
86 | 0 | 0.793103448275862 | -0.793103448275862 |
87 | 2 | 1.3 | 0.7 |
88 | 0 | 0.793103448275862 | -0.793103448275862 |
89 | 2 | 1.3 | 0.7 |
90 | 0 | 0.793103448275862 | -0.793103448275862 |