Goodness of Fit
Correlation0.9217
R-squared0.8496
RMSE2.6364


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1-4-8.24.2
2-6-8.22.2
3-3-8.25.2
4-3-8.25.2
5-7-8.21.2
6-9-8.2-0.800000000000001
7-11-8.2-2.8
8-13-8.2-4.8
9-11-8.2-2.8
10-9-8.2-0.800000000000001
11-17-21.54.5
12-22-21.5-0.5
13-25-21.5-3.5
14-20-18-2
15-24-21.5-2.5
16-24-21.5-2.5
17-22-18-4
18-19-18-1
19-18-180
20-17-181
21-11-12.35294117647061.35294117647059
22-11-12.35294117647061.35294117647059
23-12-12.35294117647060.352941176470589
24-10-12.35294117647062.35294117647059
25-15-183
26-15-183
27-15-12.3529411764706-2.64705882352941
28-13-12.3529411764706-0.647058823529411
29-8-12.35294117647064.35294117647059
30-13-12.3529411764706-0.647058823529411
31-9-12.35294117647063.35294117647059
32-7-2.30769230769231-4.69230769230769
33-4-2.30769230769231-1.69230769230769
34-4-2.30769230769231-1.69230769230769
35-2-2.307692307692310.307692307692307
360-2.307692307692312.30769230769231
37-2-2.307692307692310.307692307692307
38-3-2.30769230769231-0.692307692307693
391-2.307692307692313.30769230769231
40-2-2.307692307692310.307692307692307
41-1-2.307692307692311.30769230769231
421-2.307692307692313.30769230769231
43-3-2.30769230769231-0.692307692307693
44-4-2.30769230769231-1.69230769230769
45-9-8.2-0.800000000000001
46-9-8.2-0.800000000000001
47-7-8.21.2
48-14-12.3529411764706-1.64705882352941
49-12-8.2-3.8
50-16-21.55.5
51-20-21.51.5
52-12-12.35294117647060.352941176470589
53-12-12.35294117647060.352941176470589
54-10-8.2-1.8
55-10-12.35294117647062.35294117647059
56-13-12.3529411764706-0.647058823529411
57-16-12.3529411764706-3.64705882352941
58-14-12.3529411764706-1.64705882352941
59-17-12.3529411764706-4.64705882352941
60-24-21.5-2.5