Goodness of Fit
Correlation0.8984
R-squared0.8071
RMSE0.0541


Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
10.3972327040.3559503843888890.0412823196111111
20.3827672960.3559503843888890.0268169116111111
30.3960377360.3559503843888890.0400873516111111
40.4417610060.4726436059-0.0308825999
50.4452201260.4726436059-0.0274234799
60.4384905660.4726436059-0.0341530399
70.4674842770.4726436059-0.00515932889999998
80.4657861640.4726436059-0.00685744189999998
90.4020754720.3559503843888890.0461250876111111
100.3761635220.3559503843888890.0202131376111111
110.375911950.3559503843888890.0199615656111111
120.3929559750.3559503843888890.0370055906111111
130.344905660.355950384388889-0.0110447243888889
140.3685534590.3559503843888890.0126030746111112
150.3908805030.3559503843888890.0349301186111111
160.4248427670.4726436059-0.0478008389
170.4268553460.4726436059-0.0457882599
180.4423270440.4726436059-0.0303165619
190.4748427670.47264360590.00219916110000001
200.4476100630.4726436059-0.0250335429
210.4807547170.47264360590.00811111110000001
220.5160377360.47264360590.0433941301
230.5806289310.681292167181818-0.100663236181818
240.5735220130.681292167181818-0.107770154181818
250.5788679250.681292167181818-0.102424242181818
260.5935849060.681292167181818-0.0877072611818182
270.6459748430.681292167181818-0.0353173241818182
280.6905031450.6812921671818180.00921097781818181
290.7822012580.6812921671818180.100909090818182
300.8390566040.6812921671818180.157764436818182
310.8474842770.6812921671818180.166192109818182
320.7268553460.6812921671818180.0455631788181818
330.6355345910.681292167181818-0.0457575761818182
340.4709433960.4726436059-0.00170020989999997
350.3461635220.355950384388889-0.00978686238888887
360.2723270440.355950384388889-0.0836233403888889
370.2867924530.355950384388889-0.0691579313888889
380.276729560.355950384388889-0.0792208243888889
390.2974213840.355950384388889-0.0585290003888889
400.3216981130.355950384388889-0.0342522713888889
410.3655974840.3559503843888890.0096470996111111
420.4352201260.4726436059-0.0374234799
430.4128930820.3559503843888890.0569426976111111
440.4586792450.4726436059-0.0139643609
450.4284276730.4726436059-0.0442159329
460.4635220130.4726436059-0.00912159289999998
470.4871698110.47264360590.0145262051
480.4735849060.47264360590.000941300100000042
490.4918867920.47264360590.0192431861
500.4748427670.47264360590.00219916110000001
510.5023270440.47264360590.0296834381
520.5393710690.47264360590.0667274631
530.4844025160.47264360590.0117589101
540.4746540880.47264360590.00201048209999999
550.4735220130.47264360590.000878407100000034
560.487547170.47264360590.0149035641
570.4933333330.47264360590.0206897271
580.5251572330.47264360590.0525136271
590.5427044030.47264360590.0700607971