Goodness of Fit
Correlation0.7449
R-squared0.5549
RMSE0.9433


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
135.42105263157895-2.42105263157895
254.318181818181820.681818181818182
366.6-0.6
464.318181818181821.68181818181818
555.72727272727273-0.727272727272728
634.31818181818182-1.31818181818182
786.61.4
843.50.5
945.42105263157895-1.42105263157895
1044.31818181818182-0.318181818181818
1165.421052631578950.578947368421052
1265.727272727272730.272727272727272
1355.42105263157895-0.421052631578948
1445.42105263157895-1.42105263157895
1564.318181818181821.68181818181818
1645.42105263157895-1.42105263157895
1765.727272727272730.272727272727272
1866.6-0.6
1944.31818181818182-0.318181818181818
2043.50.5
2124.31818181818182-2.31818181818182
2276.60.4
2355.42105263157895-0.421052631578948
2444.31818181818182-0.318181818181818
2565.421052631578950.578947368421052
2666.6-0.6
2776.60.4
2855.42105263157895-0.421052631578948
2965.421052631578950.578947368421052
3044.31818181818182-0.318181818181818
3144.31818181818182-0.318181818181818
3275.421052631578951.57894736842105
3376.60.4
3444.31818181818182-0.318181818181818
3543.50.5
3666.6-0.6
3765.727272727272730.272727272727272
3854.318181818181820.681818181818182
3965.421052631578950.578947368421052
4076.60.4
4165.421052631578950.578947368421052
4234.31818181818182-1.31818181818182
4333.5-0.5
4443.50.5
4564.318181818181821.68181818181818
4675.421052631578951.57894736842105
4755.42105263157895-0.421052631578948
4843.50.5
4955.42105263157895-0.421052631578948
5066.6-0.6
5164.318181818181821.68181818181818
5265.421052631578950.578947368421052
5355.42105263157895-0.421052631578948
5443.50.5
5555.42105263157895-0.421052631578948
5655.42105263157895-0.421052631578948
5745.42105263157895-1.42105263157895
5866.6-0.6
5923.5-1.5
6086.61.4
6133.5-0.5
6265.421052631578950.578947368421052
6365.421052631578950.578947368421052
6466.6-0.6
6553.51.5
6655.42105263157895-0.421052631578948
6765.421052631578950.578947368421052
6854.318181818181820.681818181818182
6965.421052631578950.578947368421052
7023.5-1.5
7155.42105263157895-0.421052631578948
7255.42105263157895-0.421052631578948
7355.72727272727273-0.727272727272728
7466.6-0.6
7565.421052631578950.578947368421052
7665.421052631578950.578947368421052
7755.42105263157895-0.421052631578948
7855.42105263157895-0.421052631578948
7944.31818181818182-0.318181818181818
8023.5-1.5
8143.50.5
8265.421052631578950.578947368421052
8366.6-0.6
8455.72727272727273-0.727272727272728
8534.31818181818182-1.31818181818182
8665.421052631578950.578947368421052
8743.50.5
8855.72727272727273-0.727272727272728
8986.61.4
9044.31818181818182-0.318181818181818
9165.727272727272730.272727272727272
9266.6-0.6
9376.60.4
9465.421052631578950.578947368421052
9555.72727272727273-0.727272727272728
9644.31818181818182-0.318181818181818
9763.52.5
9833.5-0.5
9956.6-1.6
10065.727272727272730.272727272727272
10176.60.4
10276.60.4
10366.6-0.6
10434.31818181818182-1.31818181818182
10523.5-1.5
10685.727272727272732.27272727272727
10733.5-0.5
10886.61.4
10933.5-0.5
11043.50.5
11155.42105263157895-0.421052631578948
11275.421052631578951.57894736842105
11364.318181818181821.68181818181818
11466.6-0.6
11576.60.4
11665.421052631578950.578947368421052