Goodness of Fit
CorrelationNA
R-squaredNA
RMSE0.4955


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
100.567164179104478-0.567164179104478
200.567164179104478-0.567164179104478
310.5671641791044780.432835820895522
410.5671641791044780.432835820895522
510.5671641791044780.432835820895522
600.567164179104478-0.567164179104478
710.5671641791044780.432835820895522
810.5671641791044780.432835820895522
910.5671641791044780.432835820895522
1010.5671641791044780.432835820895522
1110.5671641791044780.432835820895522
1200.567164179104478-0.567164179104478
1310.5671641791044780.432835820895522
1400.567164179104478-0.567164179104478
1500.567164179104478-0.567164179104478
1610.5671641791044780.432835820895522
1700.567164179104478-0.567164179104478
1800.567164179104478-0.567164179104478
1910.5671641791044780.432835820895522
2000.567164179104478-0.567164179104478
2110.5671641791044780.432835820895522
2210.5671641791044780.432835820895522
2310.5671641791044780.432835820895522
2410.5671641791044780.432835820895522
2500.567164179104478-0.567164179104478
2600.567164179104478-0.567164179104478
2710.5671641791044780.432835820895522
2810.5671641791044780.432835820895522
2900.567164179104478-0.567164179104478
3010.5671641791044780.432835820895522
3110.5671641791044780.432835820895522
3200.567164179104478-0.567164179104478
3310.5671641791044780.432835820895522
3410.5671641791044780.432835820895522
3510.5671641791044780.432835820895522
3600.567164179104478-0.567164179104478
3710.5671641791044780.432835820895522
3810.5671641791044780.432835820895522
3910.5671641791044780.432835820895522
4010.5671641791044780.432835820895522
4110.5671641791044780.432835820895522
4210.5671641791044780.432835820895522
4300.567164179104478-0.567164179104478
4410.5671641791044780.432835820895522
4500.567164179104478-0.567164179104478
4600.567164179104478-0.567164179104478
4710.5671641791044780.432835820895522
4800.567164179104478-0.567164179104478
4900.567164179104478-0.567164179104478
5000.567164179104478-0.567164179104478
5110.5671641791044780.432835820895522
5200.567164179104478-0.567164179104478
5310.5671641791044780.432835820895522
5410.5671641791044780.432835820895522
5510.5671641791044780.432835820895522
5600.567164179104478-0.567164179104478
5700.567164179104478-0.567164179104478
5810.5671641791044780.432835820895522
5900.567164179104478-0.567164179104478
6000.567164179104478-0.567164179104478
6110.5671641791044780.432835820895522
6200.567164179104478-0.567164179104478
6310.5671641791044780.432835820895522
6400.567164179104478-0.567164179104478
6510.5671641791044780.432835820895522
6600.567164179104478-0.567164179104478
6700.567164179104478-0.567164179104478