Goodness of Fit
Correlation0.5727
R-squared0.3279
RMSE56.0681


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
18567.349514563106817.6504854368932
25867.3495145631068-9.3495145631068
35767.3495145631068-10.3495145631068
413297.40909090909134.5909090909091
54467.3495145631068-23.3495145631068
64230.142857142857111.8571428571429
794179.461538461538-85.4615384615385
84630.142857142857115.8571428571429
97167.34951456310683.65048543689321
106567.3495145631068-2.34951456310679
117867.349514563106810.6504854368932
125567.3495145631068-12.3495145631068
135567.3495145631068-12.3495145631068
1410397.4090909090915.59090909090909
154167.3495145631068-26.3495145631068
16115179.461538461538-64.4615384615385
174667.3495145631068-21.3495145631068
188067.349514563106812.6504854368932
193767.3495145631068-30.3495145631068
205067.3495145631068-17.3495145631068
219367.349514563106825.6504854368932
229397.409090909091-4.40909090909091
236167.3495145631068-6.3495145631068
245767.3495145631068-10.3495145631068
2515097.40909090909152.5909090909091
266767.3495145631068-0.349514563106794
278897.409090909091-9.4090909090909
285467.3495145631068-13.3495145631068
294767.3495145631068-20.3495145631068
3012167.349514563106853.6504854368932
314467.3495145631068-23.3495145631068
327367.34951456310685.6504854368932
334967.3495145631068-18.3495145631068
343630.14285714285715.85714285714286
357297.409090909091-25.4090909090909
367767.34951456310689.6504854368932
3771179.461538461538-108.461538461538
386367.3495145631068-4.34951456310679
393630.14285714285715.85714285714286
404597.409090909091-52.4090909090909
413797.409090909091-60.4090909090909
426567.3495145631068-2.34951456310679
437867.349514563106810.6504854368932
446967.34951456310681.65048543689321
458267.349514563106814.6504854368932
46780179.461538461538600.538461538462
475767.3495145631068-10.3495145631068
487267.34951456310684.65048543689321
49112179.461538461538-67.4615384615385
506167.3495145631068-6.3495145631068
513967.3495145631068-28.3495145631068
522030.1428571428571-10.1428571428571
537367.34951456310685.6504854368932
542130.1428571428571-9.14285714285714
557067.34951456310682.65048543689321
5612497.40909090909126.5909090909091
577567.34951456310687.6504854368932
58201179.46153846153821.5384615384615
595867.3495145631068-9.3495145631068
606767.3495145631068-0.349514563106794
6165179.461538461538-114.461538461538
6213897.40909090909140.5909090909091
637167.34951456310683.65048543689321
644867.3495145631068-19.3495145631068
655467.3495145631068-13.3495145631068
665567.3495145631068-12.3495145631068
674667.3495145631068-21.3495145631068
688497.409090909091-13.4090909090909
697167.34951456310683.65048543689321
705667.3495145631068-11.3495145631068
715567.3495145631068-12.3495145631068
723930.14285714285718.85714285714286
735267.3495145631068-15.3495145631068
749467.349514563106826.6504854368932
755767.3495145631068-10.3495145631068
768367.349514563106815.6504854368932
774267.3495145631068-25.3495145631068
784567.3495145631068-22.3495145631068
795267.3495145631068-15.3495145631068
806767.3495145631068-0.349514563106794
813867.3495145631068-29.3495145631068
82114179.461538461538-65.4615384615385
834567.3495145631068-22.3495145631068
845367.3495145631068-14.3495145631068
853130.14285714285710.857142857142858
8616967.3495145631068101.650485436893
876067.3495145631068-7.3495145631068
88276179.46153846153896.5384615384615
898467.349514563106816.6504854368932
906797.409090909091-30.4090909090909
915867.3495145631068-9.3495145631068
927167.34951456310683.65048543689321
938067.349514563106812.6504854368932
948997.409090909091-8.4090909090909
9511567.349514563106847.6504854368932
966067.3495145631068-7.3495145631068
976967.34951456310681.65048543689321
985767.3495145631068-10.3495145631068
99121179.461538461538-58.4615384615385
1006997.409090909091-28.4090909090909
1016067.3495145631068-7.3495145631068
1028167.349514563106813.6504854368932
10311567.349514563106847.6504854368932
1044330.142857142857112.8571428571429
1057267.34951456310684.65048543689321
1066167.3495145631068-6.3495145631068
10710167.349514563106833.6504854368932
1085067.3495145631068-17.3495145631068
1093267.3495145631068-35.3495145631068
1107867.349514563106810.6504854368932
1115867.3495145631068-9.3495145631068
1126567.3495145631068-2.34951456310679
113918
1144967.3495145631068-18.3495145631068
1152530.1428571428571-5.14285714285714
11610267.349514563106834.6504854368932
1175997.409090909091-38.4090909090909
118230.1428571428571-28.1428571428571
1195667.3495145631068-11.3495145631068
1202230.1428571428571-8.14285714285714
12114897.40909090909150.5909090909091
1227067.34951456310682.65048543689321
1239167.349514563106823.6504854368932
1244667.3495145631068-21.3495145631068
1255230.142857142857121.8571428571429
12610167.349514563106833.6504854368932
12710597.4090909090917.5909090909091
1285867.3495145631068-9.3495145631068
12913097.40909090909132.5909090909091
13012067.349514563106852.6504854368932
13110497.4090909090916.5909090909091
1324467.3495145631068-23.3495145631068
1334867.3495145631068-19.3495145631068
13414497.40909090909146.5909090909091
135146179.461538461538-33.4615384615385
1369467.349514563106826.6504854368932
137139179.461538461538-40.4615384615385
1386767.3495145631068-0.349514563106794
1398367.349514563106815.6504854368932
14016967.3495145631068101.650485436893
1416967.34951456310681.65048543689321
14299179.461538461538-80.4615384615385
1436167.3495145631068-6.3495145631068
1443767.3495145631068-30.3495145631068
1455497.409090909091-43.4090909090909
14612167.349514563106853.6504854368932
1475167.3495145631068-16.3495145631068
1485267.3495145631068-15.3495145631068
14901-1
15001-1
15101-1
15201-1
15301-1
15401-1
1555167.3495145631068-16.3495145631068
15610897.40909090909110.5909090909091
15701-1
15801-1
15901-1
160730.1428571428571-23.1428571428571
161312
1628067.349514563106812.6504854368932
16301-1
1644367.3495145631068-24.3495145631068