Goodness of Fit
Correlation0.5344
R-squared0.2856
RMSE3.224


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
12523.23684210526321.76315789473684
22423.23684210526320.763157894736842
32120.60465116279070.395348837209301
42324.3269230769231-1.32692307692308
51720.6046511627907-3.6046511627907
61920.6046511627907-1.6046511627907
71823.2368421052632-5.23684210526316
82723.23684210526323.76315789473684
92323.2368421052632-0.236842105263158
102320.60465116279072.3953488372093
112924.32692307692314.67307692307692
122120.60465116279070.395348837209301
132624.32692307692311.67307692307692
142523.23684210526321.76315789473684
152524.32692307692310.673076923076923
162324.3269230769231-1.32692307692308
172623.23684210526322.76315789473684
182024.3269230769231-4.32692307692308
192923.23684210526325.76315789473684
202424.3269230769231-0.326923076923077
212323.2368421052632-0.236842105263158
222423.23684210526320.763157894736842
233024.32692307692315.67307692307692
242223.2368421052632-1.23684210526316
252224.3269230769231-2.32692307692308
261320.6046511627907-7.6046511627907
272424.3269230769231-0.326923076923077
281723.2368421052632-6.23684210526316
292424.3269230769231-0.326923076923077
302120.60465116279070.395348837209301
312320.60465116279072.3953488372093
322424.3269230769231-0.326923076923077
332424.3269230769231-0.326923076923077
342424.3269230769231-0.326923076923077
352324.3269230769231-1.32692307692308
362620.60465116279075.3953488372093
372424.3269230769231-0.326923076923077
382117.72727272727273.27272727272727
392323.2368421052632-0.236842105263158
402824.32692307692313.67307692307692
412223.2368421052632-1.23684210526316
422420.60465116279073.3953488372093
432123.2368421052632-2.23684210526316
442320.60465116279072.3953488372093
452324.3269230769231-1.32692307692308
462020.6046511627907-0.604651162790699
472317.72727272727275.27272727272727
482124.3269230769231-3.32692307692308
492723.23684210526323.76315789473684
501217.7272727272727-5.72727272727273
511520.6046511627907-5.6046511627907
522220.60465116279071.3953488372093
532117.72727272727273.27272727272727
542124.3269230769231-3.32692307692308
552020.6046511627907-0.604651162790699
562424.3269230769231-0.326923076923077
572424.3269230769231-0.326923076923077
582920.60465116279078.3953488372093
592523.23684210526321.76315789473684
601420.6046511627907-6.6046511627907
613024.32692307692315.67307692307692
621920.6046511627907-1.6046511627907
632924.32692307692314.67307692307692
642523.23684210526321.76315789473684
652524.32692307692310.673076923076923
662524.32692307692310.673076923076923
671617.7272727272727-1.72727272727273
682520.60465116279074.3953488372093
692824.32692307692313.67307692307692
702424.3269230769231-0.326923076923077
712523.23684210526321.76315789473684
722120.60465116279070.395348837209301
732224.3269230769231-2.32692307692308
742024.3269230769231-4.32692307692308
752524.32692307692310.673076923076923
762724.32692307692312.67307692307692
772120.60465116279070.395348837209301
781317.7272727272727-4.72727272727273
792623.23684210526322.76315789473684
802620.60465116279075.3953488372093
812524.32692307692310.673076923076923
822220.60465116279071.3953488372093
831917.72727272727271.27272727272727
842323.2368421052632-0.236842105263158
852523.23684210526321.76315789473684
861517.7272727272727-2.72727272727273
872123.2368421052632-2.23684210526316
882323.2368421052632-0.236842105263158
892520.60465116279074.3953488372093
902420.60465116279073.3953488372093
912424.3269230769231-0.326923076923077
922124.3269230769231-3.32692307692308
932423.23684210526320.763157894736842
942224.3269230769231-2.32692307692308
952423.23684210526320.763157894736842
962824.32692307692313.67307692307692
972120.60465116279070.395348837209301
981717.7272727272727-0.727272727272727
992820.60465116279077.3953488372093
1002424.3269230769231-0.326923076923077
1011020.6046511627907-10.6046511627907
1022020.6046511627907-0.604651162790699
1032223.2368421052632-1.23684210526316
1041923.2368421052632-4.23684210526316
1052224.3269230769231-2.32692307692308
1062220.60465116279071.3953488372093
1072624.32692307692311.67307692307692
1082423.23684210526320.763157894736842
1092220.60465116279071.3953488372093
1102020.6046511627907-0.604651162790699
1112020.6046511627907-0.604651162790699
1121520.6046511627907-5.6046511627907
1132023.2368421052632-3.23684210526316
1142020.6046511627907-0.604651162790699
1152424.3269230769231-0.326923076923077
1162923.23684210526325.76315789473684
1172324.3269230769231-1.32692307692308
1182420.60465116279073.3953488372093
1192223.2368421052632-1.23684210526316
1201620.6046511627907-4.6046511627907
1212324.3269230769231-1.32692307692308
1222724.32692307692312.67307692307692
1231617.7272727272727-1.72727272727273
1242124.3269230769231-3.32692307692308
1252623.23684210526322.76315789473684
1262224.3269230769231-2.32692307692308
1272324.3269230769231-1.32692307692308
1281923.2368421052632-4.23684210526316
1291820.6046511627907-2.6046511627907
1302424.3269230769231-0.326923076923077
1312924.32692307692314.67307692307692
1322217.72727272727274.27272727272727
1332424.3269230769231-0.326923076923077
1342223.2368421052632-1.23684210526316
1351220.6046511627907-8.6046511627907
1362624.32692307692311.67307692307692
1371823.2368421052632-5.23684210526316
1382224.3269230769231-2.32692307692308
1392420.60465116279073.3953488372093
1402120.60465116279070.395348837209301
1411520.6046511627907-5.6046511627907
1422323.2368421052632-0.236842105263158
1432223.2368421052632-1.23684210526316
1442420.60465116279073.3953488372093