Goodness of Fit
Correlation0.5949
R-squared0.3539
RMSE29.0017


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
100.338028169014085-0.338028169014085
263.031252.96875
300.338028169014085-0.338028169014085
403.03125-3.03125
500.338028169014085-0.338028169014085
6149.4666666666667-48.4666666666667
76449.466666666666714.5333333333333
842.81.2
910.3380281690140850.661971830985915
1000.338028169014085-0.338028169014085
11067.6363636363636-67.6363636363636
1200.338028169014085-0.338028169014085
13411.2222222222222-7.22222222222222
1400.338028169014085-0.338028169014085
1500.338028169014085-0.338028169014085
1600.338028169014085-0.338028169014085
1700.338028169014085-0.338028169014085
1800.338028169014085-0.338028169014085
1900.338028169014085-0.338028169014085
201267.6363636363636-55.6363636363636
2100.338028169014085-0.338028169014085
2203.03125-3.03125
234749.4666666666667-2.46666666666667
2400.338028169014085-0.338028169014085
2500.338028169014085-0.338028169014085
26049.4666666666667-49.4666666666667
2713.03125-2.03125
2803.03125-3.03125
2900.338028169014085-0.338028169014085
3040.3380281690140853.66197183098592
319349.466666666666743.5333333333333
3200.338028169014085-0.338028169014085
332549.4666666666667-24.4666666666667
34253.0312521.96875
351111.2222222222222-0.222222222222221
3600.338028169014085-0.338028169014085
3700.338028169014085-0.338028169014085
3800.338028169014085-0.338028169014085
3903.03125-3.03125
4000.338028169014085-0.338028169014085
4100.338028169014085-0.338028169014085
4262.83.2
4373.031253.96875
4402.8-2.8
451111.2222222222222-0.222222222222221
466649.466666666666716.5333333333333
4700.338028169014085-0.338028169014085
4823567.6363636363636167.363636363636
4913.03125-2.03125
504349.4666666666667-6.46666666666667
51102.87.2
5200.338028169014085-0.338028169014085
5300.338028169014085-0.338028169014085
5400.338028169014085-0.338028169014085
5500.338028169014085-0.338028169014085
5600.338028169014085-0.338028169014085
5700.338028169014085-0.338028169014085
5802.8-2.8
598649.466666666666736.5333333333333
6002.8-2.8
61067.6363636363636-67.6363636363636
621567.6363636363636-52.6363636363636
6303.03125-3.03125
64711.2222222222222-4.22222222222222
6543.031250.96875
66311.2222222222222-8.22222222222222
674849.4666666666667-1.46666666666667
6870.3380281690140856.66197183098592
694267.6363636363636-25.6363636363636
7000.338028169014085-0.338028169014085
71203.0312516.96875
728249.466666666666732.5333333333333
7300.338028169014085-0.338028169014085
7450.3380281690140854.66197183098592
7500.338028169014085-0.338028169014085
7600.338028169014085-0.338028169014085
7700.338028169014085-0.338028169014085
7862.83.2
7900.338028169014085-0.338028169014085
8003.03125-3.03125
8100.338028169014085-0.338028169014085
8213.03125-2.03125
8300.338028169014085-0.338028169014085
8400.338028169014085-0.338028169014085
8502.8-2.8
8600.338028169014085-0.338028169014085
8700.338028169014085-0.338028169014085
88267.6363636363636-65.6363636363636
8920.3380281690140851.66197183098592
9083.031254.96875
9103.03125-3.03125
9203.03125-3.03125
9340.3380281690140853.66197183098592
9403.03125-3.03125
952949.4666666666667-20.4666666666667
961811.22222222222226.77777777777778
9700.338028169014085-0.338028169014085
98767.6363636363636-60.6363636363636
991911.22222222222227.77777777777778
10002.8-2.8
101167.6363636363636-66.6363636363636
10200.338028169014085-0.338028169014085
10300.338028169014085-0.338028169014085
10400.338028169014085-0.338028169014085
10514067.636363636363672.3636363636364
10623.03125-1.03125
10713.03125-2.03125
1083749.4666666666667-12.4666666666667
10900.338028169014085-0.338028169014085
1104049.4666666666667-9.46666666666667
11100.338028169014085-0.338028169014085
11200.338028169014085-0.338028169014085
11300.338028169014085-0.338028169014085
11400.338028169014085-0.338028169014085
11503.03125-3.03125
11600.338028169014085-0.338028169014085
11700.338028169014085-0.338028169014085
11800.338028169014085-0.338028169014085
11900.338028169014085-0.338028169014085
12022.8-0.8
12100.338028169014085-0.338028169014085
12243.031250.96875
1238149.466666666666731.5333333333333
12403.03125-3.03125
12500.338028169014085-0.338028169014085
12603.03125-3.03125
12710.3380281690140850.661971830985915
12800.338028169014085-0.338028169014085
1292311.222222222222211.7777777777778
130511.2222222222222-6.22222222222222
13103.03125-3.03125
13213.03125-2.03125
13300.338028169014085-0.338028169014085
13400.338028169014085-0.338028169014085
13500.338028169014085-0.338028169014085
13600.338028169014085-0.338028169014085
13700.338028169014085-0.338028169014085
138163.0312512.96875
13903.03125-3.03125
14000.338028169014085-0.338028169014085
14129067.6363636363636222.363636363636
14200.338028169014085-0.338028169014085
14300.338028169014085-0.338028169014085
14403.03125-3.03125
14503.03125-3.03125
14603.03125-3.03125
14700.338028169014085-0.338028169014085
14803.03125-3.03125