Goodness of Fit
Correlation0.4266
R-squared0.182
RMSE0.4423


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
110.7777777777777780.222222222222222
210.7777777777777780.222222222222222
310.7538461538461540.246153846153846
400.326923076923077-0.326923076923077
510.7538461538461540.246153846153846
610.7538461538461540.246153846153846
710.7538461538461540.246153846153846
810.7777777777777780.222222222222222
910.7777777777777780.222222222222222
1010.3269230769230770.673076923076923
1100.326923076923077-0.326923076923077
1210.7538461538461540.246153846153846
1300.326923076923077-0.326923076923077
1410.7777777777777780.222222222222222
1500.326923076923077-0.326923076923077
1600.326923076923077-0.326923076923077
1710.7777777777777780.222222222222222
1800.753846153846154-0.753846153846154
1910.7777777777777780.222222222222222
2000.326923076923077-0.326923076923077
2110.7777777777777780.222222222222222
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2500.753846153846154-0.753846153846154
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2700.326923076923077-0.326923076923077
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3010.7538461538461540.246153846153846
3110.3269230769230770.673076923076923
3200.326923076923077-0.326923076923077
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3610.3269230769230770.673076923076923
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4000.777777777777778-0.777777777777778
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4410.3269230769230770.673076923076923
4500.777777777777778-0.777777777777778
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4800.753846153846154-0.753846153846154
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5000.753846153846154-0.753846153846154
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5810.3269230769230770.673076923076923
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6100.777777777777778-0.777777777777778
6210.7538461538461540.246153846153846
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6810.3269230769230770.673076923076923
6900.326923076923077-0.326923076923077
7000.326923076923077-0.326923076923077
7110.7777777777777780.222222222222222
7210.7538461538461540.246153846153846
7300.753846153846154-0.753846153846154
7400.753846153846154-0.753846153846154
7500.326923076923077-0.326923076923077
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7800.753846153846154-0.753846153846154
7910.3269230769230770.673076923076923
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8100.326923076923077-0.326923076923077
8210.7538461538461540.246153846153846
8310.7538461538461540.246153846153846
8410.7777777777777780.222222222222222
8510.7777777777777780.222222222222222
8610.7538461538461540.246153846153846
8710.7538461538461540.246153846153846
8810.7777777777777780.222222222222222
8910.3269230769230770.673076923076923
9010.3269230769230770.673076923076923
9100.326923076923077-0.326923076923077
9200.753846153846154-0.753846153846154
9310.3269230769230770.673076923076923
9400.753846153846154-0.753846153846154
9510.7777777777777780.222222222222222
9600.326923076923077-0.326923076923077
9710.7538461538461540.246153846153846
9800.753846153846154-0.753846153846154
9910.3269230769230770.673076923076923
10000.777777777777778-0.777777777777778
10110.7538461538461540.246153846153846
10210.7538461538461540.246153846153846
10310.7538461538461540.246153846153846
10410.7538461538461540.246153846153846
10500.753846153846154-0.753846153846154
10610.7538461538461540.246153846153846
10700.326923076923077-0.326923076923077
10810.7777777777777780.222222222222222
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11500.326923076923077-0.326923076923077
11610.3269230769230770.673076923076923
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11810.3269230769230770.673076923076923
11910.7538461538461540.246153846153846
12010.7538461538461540.246153846153846
12100.326923076923077-0.326923076923077
12200.326923076923077-0.326923076923077
12310.7538461538461540.246153846153846
12400.753846153846154-0.753846153846154
12510.7777777777777780.222222222222222
12600.753846153846154-0.753846153846154
12700.326923076923077-0.326923076923077
12810.7538461538461540.246153846153846
12910.7538461538461540.246153846153846
13000.326923076923077-0.326923076923077
13100.326923076923077-0.326923076923077
13210.7538461538461540.246153846153846
13300.326923076923077-0.326923076923077
13410.7538461538461540.246153846153846
13510.7538461538461540.246153846153846
13600.777777777777778-0.777777777777778
13710.7538461538461540.246153846153846
13800.753846153846154-0.753846153846154
13910.3269230769230770.673076923076923
14010.7538461538461540.246153846153846
14110.7538461538461540.246153846153846
14210.7777777777777780.222222222222222
14310.7538461538461540.246153846153846
14410.3269230769230770.673076923076923