| Goodness of Fit | |
| Correlation | 0.8348 |
| R-squared | 0.6969 |
| RMSE | 8.3808 |
| Actuals, Predictions, and Residuals | |||
| # | Actuals | Forecasts | Residuals |
| 1 | 107.11 | 115.2878125 | -8.1778125 |
| 2 | 122.23 | 115.2878125 | 6.9421875 |
| 3 | 134.69 | 115.2878125 | 19.4021875 |
| 4 | 128.79 | 115.2878125 | 13.5021875 |
| 5 | 126.16 | 115.2878125 | 10.8721875 |
| 6 | 119.98 | 115.2878125 | 4.6921875 |
| 7 | 108.45 | 115.2878125 | -6.8378125 |
| 8 | 108.43 | 115.2878125 | -6.8578125 |
| 9 | 98.17 | 115.2878125 | -17.1178125 |
| 10 | 106.09 | 115.2878125 | -9.1978125 |
| 11 | 108.81 | 115.2878125 | -6.4778125 |
| 12 | 103.03 | 115.2878125 | -12.2578125 |
| 13 | 124.36 | 115.2878125 | 9.0721875 |
| 14 | 118.52 | 115.2878125 | 3.23218749999999 |
| 15 | 112.2 | 115.2878125 | -3.0878125 |
| 16 | 114.71 | 115.2878125 | -0.577812500000007 |
| 17 | 107.96 | 115.2878125 | -7.32781250000001 |
| 18 | 101.21 | 115.2878125 | -14.0778125 |
| 19 | 102.77 | 115.2878125 | -12.5178125 |
| 20 | 112.13 | 115.2878125 | -3.15781250000001 |
| 21 | 109.36 | 115.2878125 | -5.9278125 |
| 22 | 110.91 | 115.2878125 | -4.37781250000000 |
| 23 | 123.57 | 115.2878125 | 8.2821875 |
| 24 | 129.95 | 115.2878125 | 14.6621875 |
| 25 | 124.46 | 115.2878125 | 9.1721875 |
| 26 | 122.34 | 115.2878125 | 7.0521875 |
| 27 | 116.61 | 115.2878125 | 1.32218750000000 |
| 28 | 114.59 | 115.2878125 | -0.697812499999998 |
| 29 | 112.52 | 115.2878125 | -2.76781250000001 |
| 30 | 118.67 | 115.2878125 | 3.3821875 |
| 31 | 116.8 | 115.2878125 | 1.51218750000000 |
| 32 | 123.63 | 115.2878125 | 8.3421875 |
| 33 | 128.04 | 133.008235294118 | -4.96823529411765 |
| 34 | 134.57 | 133.008235294118 | 1.56176470588235 |
| 35 | 130.33 | 133.008235294118 | -2.67823529411763 |
| 36 | 136.47 | 133.008235294118 | 3.46176470588236 |
| 37 | 139.05 | 133.008235294118 | 6.04176470588237 |
| 38 | 158.21 | 147.710909090909 | 10.4990909090909 |
| 39 | 148.07 | 133.008235294118 | 15.0617647058824 |
| 40 | 137.74 | 133.008235294118 | 4.73176470588237 |
| 41 | 139.74 | 133.008235294118 | 6.73176470588237 |
| 42 | 144.08 | 133.008235294118 | 11.0717647058824 |
| 43 | 145.35 | 133.008235294118 | 12.3417647058824 |
| 44 | 145.77 | 147.710909090909 | -1.94090909090909 |
| 45 | 140.56 | 147.710909090909 | -7.1509090909091 |
| 46 | 121.41 | 133.008235294118 | -11.5982352941176 |
| 47 | 120.44 | 133.008235294118 | -12.5682352941176 |
| 48 | 116.97 | 133.008235294118 | -16.0382352941176 |
| 49 | 128.03 | 133.008235294118 | -4.97823529411764 |
| 50 | 128.51 | 133.008235294118 | -4.49823529411765 |
| 51 | 127.76 | 133.008235294118 | -5.24823529411763 |
| 52 | 134.58 | 133.008235294118 | 1.57176470588237 |
| 53 | 147.64 | 147.710909090909 | -0.0709090909091117 |
| 54 | 144.46 | 147.710909090909 | -3.25090909090909 |
| 55 | 137.6 | 147.710909090909 | -10.1109090909091 |
| 56 | 146.87 | 147.710909090909 | -0.840909090909093 |
| 57 | 145.67 | 147.710909090909 | -2.04090909090911 |
| 58 | 151.95 | 147.710909090909 | 4.23909090909089 |
| 59 | 150.23 | 147.710909090909 | 2.51909090909089 |
| 60 | 155.86 | 147.710909090909 | 8.14909090909092 |
