| Multiple Linear Regression - Estimated Regression Equation |
| Rj1[t] = + 4.38615384615385 -1.44740384615385Ter[t] + e[t] |
| Multiple Linear Regression - Ordinary Least Squares | |||||
| Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
| (Intercept) | 4.38615384615385 | 0.203047 | 21.6017 | 0 | 0 |
| Ter | -1.44740384615385 | 0.220617 | -6.5607 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.584374216130123 |
| R-squared | 0.341493224477695 |
| Adjusted R-squared | 0.333559407905137 |
| F-TEST (value) | 43.0427425885896 |
| F-TEST (DF numerator) | 1 |
| F-TEST (DF denominator) | 83 |
| p-value | 4.31809976664255e-09 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.73209630672266 |
| Sum Squared Residuals | 44.4850951923077 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 5.22 | 4.38615384615385 | 0.833846153846149 |
| 2 | 5.09 | 4.38615384615385 | 0.703846153846153 |
| 3 | 4.77 | 4.38615384615385 | 0.383846153846154 |
| 4 | 4.54 | 4.38615384615385 | 0.153846153846154 |
| 5 | 4.56 | 4.38615384615385 | 0.173846153846154 |
| 6 | 4.39 | 4.38615384615385 | 0.00384615384615394 |
| 7 | 4.73 | 4.38615384615385 | 0.343846153846155 |
| 8 | 4.44 | 4.38615384615385 | 0.0538461538461546 |
| 9 | 4.3 | 4.38615384615385 | -0.0861538461538458 |
| 10 | 4.24 | 4.38615384615385 | -0.146153846153845 |
| 11 | 4.01 | 4.38615384615385 | -0.376153846153846 |
| 12 | 3.5 | 4.38615384615385 | -0.886153846153846 |
| 13 | 3.23 | 4.38615384615385 | -1.15615384615385 |
| 14 | 3.28 | 2.93875 | 0.34125 |
| 15 | 3.49 | 2.93875 | 0.55125 |
| 16 | 3.7 | 2.93875 | 0.76125 |
| 17 | 3.63 | 2.93875 | 0.69125 |
| 18 | 3.95 | 2.93875 | 1.01125 |
| 19 | 3.73 | 2.93875 | 0.79125 |
| 20 | 3.87 | 2.93875 | 0.93125 |
| 21 | 3.66 | 2.93875 | 0.72125 |
| 22 | 3.49 | 2.93875 | 0.55125 |
| 23 | 3.4 | 2.93875 | 0.46125 |
| 24 | 3.32 | 2.93875 | 0.38125 |
| 25 | 3.11 | 2.93875 | 0.17125 |
| 26 | 3.06 | 2.93875 | 0.12125 |
| 27 | 2.68 | 2.93875 | -0.25875 |
| 28 | 2.55 | 2.93875 | -0.38875 |
| 29 | 2.34 | 2.93875 | -0.59875 |
| 30 | 2.34 | 2.93875 | -0.59875 |
| 31 | 2.39 | 2.93875 | -0.54875 |
| 32 | 2.21 | 2.93875 | -0.72875 |
| 33 | 2.09 | 2.93875 | -0.84875 |
| 34 | 2.14 | 2.93875 | -0.79875 |
| 35 | 2.31 | 2.93875 | -0.62875 |
| 36 | 2.14 | 2.93875 | -0.79875 |
| 37 | 2.45 | 2.93875 | -0.48875 |
| 38 | 2.52 | 2.93875 | -0.41875 |
| 39 | 2.3 | 2.93875 | -0.63875 |
| 40 | 2.25 | 2.93875 | -0.68875 |
| 41 | 2.06 | 2.93875 | -0.87875 |
| 42 | 1.99 | 2.93875 | -0.94875 |
| 43 | 2.25 | 2.93875 | -0.68875 |
| 44 | 2.26 | 2.93875 | -0.67875 |
| 45 | 2.36 | 2.93875 | -0.57875 |
| 46 | 2.3 | 2.93875 | -0.63875 |
| 47 | 2.19 | 2.93875 | -0.74875 |
| 48 | 2.31 | 2.93875 | -0.62875 |
| 49 | 2.21 | 2.93875 | -0.72875 |
| 50 | 2.21 | 2.93875 | -0.72875 |
| 51 | 2.26 | 2.93875 | -0.67875 |
| 52 | 2.18 | 2.93875 | -0.75875 |
| 53 | 2.21 | 2.93875 | -0.72875 |
| 54 | 2.33 | 2.93875 | -0.60875 |
| 55 | 2.12 | 2.93875 | -0.81875 |
| 56 | 2.08 | 2.93875 | -0.85875 |
| 57 | 1.97 | 2.93875 | -0.96875 |
| 58 | 2.09 | 2.93875 | -0.84875 |
| 59 | 2.11 | 2.93875 | -0.82875 |
| 60 | 2.24 | 2.93875 | -0.69875 |
| 61 | 2.45 | 2.93875 | -0.48875 |
| 62 | 2.68 | 2.93875 | -0.25875 |
| 63 | 2.73 | 2.93875 | -0.20875 |
| 64 | 2.76 | 2.93875 | -0.178750000000000 |
| 65 | 2.83 | 2.93875 | -0.108750000000000 |
| 66 | 3.16 | 2.93875 | 0.22125 |
| 67 | 3.22 | 2.93875 | 0.28125 |
| 68 | 3.22 | 2.93875 | 0.28125 |
| 69 | 3.34 | 2.93875 | 0.40125 |
| 70 | 3.35 | 2.93875 | 0.41125 |
| 71 | 3.42 | 2.93875 | 0.48125 |
| 72 | 3.58 | 2.93875 | 0.64125 |
| 73 | 3.71 | 2.93875 | 0.77125 |
| 74 | 3.68 | 2.93875 | 0.74125 |
| 75 | 3.83 | 2.93875 | 0.89125 |
| 76 | 3.94 | 2.93875 | 1.00125 |
| 77 | 3.88 | 2.93875 | 0.94125 |
| 78 | 4.03 | 2.93875 | 1.09125 |
| 79 | 4.15 | 2.93875 | 1.21125 |
| 80 | 4.32 | 2.93875 | 1.38125 |
| 81 | 4.4 | 2.93875 | 1.46125 |
| 82 | 4.37 | 2.93875 | 1.43125 |
| 83 | 4.14 | 2.93875 | 1.20125 |
| 84 | 4.11 | 2.93875 | 1.17125 |
| 85 | 4.16 | 2.93875 | 1.22125 |
