Goodness of Fit
Correlation0.7693
R-squared0.5918
RMSE13879.611


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
116255666430.428571428696125.5714285714
22979026096.42857142863693.57142857143
38755066430.428571428621119.5714285714
48473826096.428571428658641.5714285714
55466066430.4285714286-11770.4285714286
64263466430.4285714286-23796.4285714286
74094926096.428571428614852.5714285714
84231266430.4285714286-24118.4285714286
93770466430.4285714286-28726.4285714286
101627512787.13487.9
112583012787.113042.9
121267912787.1-108.100000000000
131801426096.4285714286-8082.42857142857
144355626096.428571428617459.5714285714
152452426096.4285714286-1572.42857142857
16653212787.1-6255.1
17712312787.1-5664.1
182081326096.4285714286-5283.42857142857
193759766430.4285714286-28833.4285714286
201782126096.4285714286-8275.42857142857
211298812787.1200.900000000000
222233012787.19542.9
231332612787.1538.9
241618926096.4285714286-9907.42857142857
2571464006.521739130433139.47826086957
26158244006.5217391304311817.4782608696
272608826096.4285714286-8.42857142857247
28113264006.521739130437319.47826086957
29856812787.1-4219.1
301441626096.4285714286-11680.4285714286
3133694006.52173913043-637.521739130435
32118194006.521739130437812.47826086957
3366204006.521739130432613.47826086957
3445194006.52173913043512.478260869565
35222012787.1-10567.1
36185624006.5217391304314555.4782608696
37103274006.521739130436320.47826086957
3853364006.521739130431329.47826086957
3923654006.52173913043-1641.52173913043
4040694006.5217391304362.478260869565
41771026096.4285714286-18386.4285714286
42137184006.521739130439711.47826086956
4345254006.52173913043518.478260869565
4468694006.521739130432862.47826086957
4546284006.52173913043621.478260869565
4636534006.52173913043-353.521739130435
4712654006.52173913043-2741.52173913043
48748926096.4285714286-18607.4285714286
4949014006.52173913043894.478260869565
5022844006.52173913043-1722.52173913043
5131604006.52173913043-846.521739130435
5241504006.52173913043143.478260869565
5372854006.521739130433278.47826086957
5411344006.52173913043-2872.52173913043
5546584006.52173913043651.478260869565
5623844006.52173913043-1622.52173913043
5737484006.52173913043-258.521739130435
5853714006.521739130431364.47826086957
5912854006.52173913043-2721.52173913043
6093274006.521739130435320.47826086957
6155654006.521739130431558.47826086957
6215284006.52173913043-2478.52173913043
6331224006.52173913043-884.521739130435
6473174006.521739130433310.47826086957
6526754006.52173913043-1331.52173913043
661325326096.4285714286-12843.4285714286
678804006.52173913043-3126.52173913043
6820534006.52173913043-1953.52173913043
6914244006.52173913043-2582.52173913043
7040364006.5217391304329.478260869565
7130454006.52173913043-961.521739130435
7251194006.521739130431112.47826086957
7314314006.52173913043-2575.52173913043
745544006.52173913043-3452.52173913043
7519754006.52173913043-2031.52173913043
7612864006.52173913043-2720.52173913043
7710124006.52173913043-2994.52173913043
788104006.52173913043-3196.52173913043
7912804006.52173913043-2726.52173913043
806664006.52173913043-3340.52173913043
8113804006.52173913043-2626.52173913043
8246084006.52173913043601.478260869565
838764006.52173913043-3130.52173913043
848144006.52173913043-3192.52173913043
855144006.52173913043-3492.52173913043
8656924006.521739130431685.47826086957
8736424006.52173913043-364.521739130435
885404006.52173913043-3466.52173913043
8920994006.52173913043-1907.52173913043
905674006.52173913043-3439.52173913043
9120014006.52173913043-2005.52173913043
9229494006.52173913043-1057.52173913043
9322534006.52173913043-1753.52173913043
9465334006.521739130432526.47826086957
9518894006.52173913043-2117.52173913043
9630554006.52173913043-951.521739130435
972724006.52173913043-3734.52173913043
9814144006.52173913043-2592.52173913043
9925644006.52173913043-1442.52173913043
10013834006.52173913043-2623.52173913043