Goodness of Fit
Correlation0.3717
R-squared0.1382
RMSE0.7361


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
144.1-0.0999999999999996
243.631578947368420.368421052631579
343.631578947368420.368421052631579
443.631578947368420.368421052631579
542.933333333333331.06666666666667
654.10.9
744.1-0.0999999999999996
833.63157894736842-0.631578947368421
943.631578947368420.368421052631579
1043.631578947368420.368421052631579
1143.631578947368420.368421052631579
1242.933333333333331.06666666666667
1343.631578947368420.368421052631579
1423.63157894736842-1.63157894736842
1533.63157894736842-0.631578947368421
1644.1-0.0999999999999996
1733.63157894736842-0.631578947368421
1822.93333333333333-0.933333333333333
1943.631578947368420.368421052631579
2033.63157894736842-0.631578947368421
2133.63157894736842-0.631578947368421
2243.631578947368420.368421052631579
2333.63157894736842-0.631578947368421
2433.63157894736842-0.631578947368421
2544.1-0.0999999999999996
2643.631578947368420.368421052631579
2743.631578947368420.368421052631579
2843.631578947368420.368421052631579
2943.631578947368420.368421052631579
3043.631578947368420.368421052631579
3153.631578947368421.36842105263158
3243.631578947368420.368421052631579
3342.933333333333331.06666666666667
3443.631578947368420.368421052631579
3533.63157894736842-0.631578947368421
3644.1-0.0999999999999996
3734.1-1.1
3843.631578947368420.368421052631579
3943.631578947368420.368421052631579
4033.63157894736842-0.631578947368421
4154.10.9
4243.631578947368420.368421052631579
4333.63157894736842-0.631578947368421
4434.1-1.1
4533.63157894736842-0.631578947368421
4644.1-0.0999999999999996
4743.631578947368420.368421052631579
4843.631578947368420.368421052631579
4943.631578947368420.368421052631579
5043.631578947368420.368421052631579
5143.631578947368420.368421052631579
5243.631578947368420.368421052631579
5353.631578947368421.36842105263158
5432.933333333333330.0666666666666669
5533.63157894736842-0.631578947368421
5654.10.9
5753.631578947368421.36842105263158
5843.631578947368420.368421052631579
5944.1-0.0999999999999996
6033.63157894736842-0.631578947368421
6144.1-0.0999999999999996
6243.631578947368420.368421052631579
6354.10.9
6443.631578947368420.368421052631579
6543.631578947368420.368421052631579
6654.10.9
6743.631578947368420.368421052631579
6833.63157894736842-0.631578947368421
6944.1-0.0999999999999996
7043.631578947368420.368421052631579
7143.631578947368420.368421052631579
7243.631578947368420.368421052631579
7344.1-0.0999999999999996
7444.1-0.0999999999999996
7544.1-0.0999999999999996
7633.63157894736842-0.631578947368421
7743.631578947368420.368421052631579
7834.1-1.1
7954.10.9
8043.631578947368420.368421052631579
8154.10.9
8253.631578947368421.36842105263158
8343.631578947368420.368421052631579
8443.631578947368420.368421052631579
8543.631578947368420.368421052631579
8643.631578947368420.368421052631579
8743.631578947368420.368421052631579
8854.10.9
8943.631578947368420.368421052631579
9033.63157894736842-0.631578947368421
9143.631578947368420.368421052631579
9234.1-1.1
9343.631578947368420.368421052631579
9443.631578947368420.368421052631579
9544.1-0.0999999999999996
9644.1-0.0999999999999996
9743.631578947368420.368421052631579
9833.63157894736842-0.631578947368421
9933.63157894736842-0.631578947368421
10033.63157894736842-0.631578947368421
10133.63157894736842-0.631578947368421
10233.63157894736842-0.631578947368421
10323.63157894736842-1.63157894736842
10433.63157894736842-0.631578947368421
10554.10.9
10622.93333333333333-0.933333333333333
10723.63157894736842-1.63157894736842
10832.933333333333330.0666666666666669
10933.63157894736842-0.631578947368421
11034.1-1.1
11143.631578947368420.368421052631579
11243.631578947368420.368421052631579
11333.63157894736842-0.631578947368421
11423.63157894736842-1.63157894736842
11533.63157894736842-0.631578947368421
11643.631578947368420.368421052631579
11722.93333333333333-0.933333333333333
11842.933333333333331.06666666666667
11943.631578947368420.368421052631579
12023.63157894736842-1.63157894736842
12133.63157894736842-0.631578947368421
12233.63157894736842-0.631578947368421
12333.63157894736842-0.631578947368421
12444.1-0.0999999999999996
12543.631578947368420.368421052631579
12643.631578947368420.368421052631579
12733.63157894736842-0.631578947368421
12843.631578947368420.368421052631579
12943.631578947368420.368421052631579
13043.631578947368420.368421052631579
13123.63157894736842-1.63157894736842
13243.631578947368420.368421052631579
13353.631578947368421.36842105263158
13443.631578947368420.368421052631579
13543.631578947368420.368421052631579
13643.631578947368420.368421052631579
13733.63157894736842-0.631578947368421
13813.63157894736842-2.63157894736842
13943.631578947368420.368421052631579
14032.933333333333330.0666666666666669
14132.933333333333330.0666666666666669
14233.63157894736842-0.631578947368421
14312.93333333333333-1.93333333333333
14443.631578947368420.368421052631579
14553.631578947368421.36842105263158
14643.631578947368420.368421052631579
14733.63157894736842-0.631578947368421
14842.933333333333331.06666666666667
14932.933333333333330.0666666666666669
15043.631578947368420.368421052631579
15143.631578947368420.368421052631579
15243.631578947368420.368421052631579
15353.631578947368421.36842105263158
15422.93333333333333-0.933333333333333
15534.1-1.1
15633.63157894736842-0.631578947368421
15743.631578947368420.368421052631579
15843.631578947368420.368421052631579
15933.63157894736842-0.631578947368421