| Multiple Linear Regression - Estimated Regression Equation |
| y[t] = + 1.40222222222222 + 0.0783333333333335x[t] + 0.00250000000000066M1[t] + 0.0169444444444444M2[t] + 0.0163888888888888M3[t] + 0.0158333333333333M4[t] + 0.0136111111111111M5[t] + 0.0113888888888889M6[t] -0.000555555555555579M7[t] + 0.00555555555555554M8[t] + 0.00499999999999998M9[t] + 0.00444444444444443M10[t] + 0.00222222222222222M11[t] + 0.00222222222222222t + 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) | 1.40222222222222 | 0.010685 | 131.2371 | 0 | 0 |
| x | 0.0783333333333335 | 0.009044 | 8.6611 | 0 | 0 |
| M1 | 0.00250000000000066 | 0.012604 | 0.1983 | 0.843466 | 0.421733 |
| M2 | 0.0169444444444444 | 0.012591 | 1.3457 | 0.183634 | 0.091817 |
| M3 | 0.0163888888888888 | 0.012582 | 1.3026 | 0.197861 | 0.09893 |
| M4 | 0.0158333333333333 | 0.012575 | 1.2591 | 0.213023 | 0.106512 |
| M5 | 0.0136111111111111 | 0.012571 | 1.0828 | 0.283387 | 0.141693 |
| M6 | 0.0113888888888889 | 0.012569 | 0.9061 | 0.368631 | 0.184316 |
| M7 | -0.000555555555555579 | 0.012564 | -0.0442 | 0.964883 | 0.482441 |
| M8 | 0.00555555555555554 | 0.012551 | 0.4426 | 0.659685 | 0.329843 |
| M9 | 0.00499999999999998 | 0.012542 | 0.3987 | 0.691599 | 0.3458 |
| M10 | 0.00444444444444443 | 0.012535 | 0.3546 | 0.724195 | 0.362098 |
| M11 | 0.00222222222222222 | 0.01253 | 0.1773 | 0.859854 | 0.429927 |
| t | 0.00222222222222222 | 0.000188 | 11.8504 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.96746207394789 |
| R-squared | 0.935982864527553 |
| Adjusted R-squared | 0.921634196232005 |
| F-TEST (value) | 65.2313403061898 |
| F-TEST (DF numerator) | 13 |
| F-TEST (DF denominator) | 58 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.0217009013355194 |
| Sum Squared Residuals | 0.0273138888888891 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1.43 | 1.40694444444444 | 0.0230555555555585 |
| 2 | 1.43 | 1.42361111111111 | 0.00638888888888877 |
| 3 | 1.43 | 1.42527777777778 | 0.00472222222222195 |
| 4 | 1.43 | 1.42694444444444 | 0.00305555555555539 |
| 5 | 1.43 | 1.42694444444444 | 0.00305555555555547 |
| 6 | 1.43 | 1.42694444444444 | 0.0030555555555554 |
| 7 | 1.43 | 1.41722222222222 | 0.0127777777777777 |
| 8 | 1.43 | 1.42555555555556 | 0.0044444444444443 |
| 9 | 1.43 | 1.42722222222222 | 0.00277777777777762 |
| 10 | 1.43 | 1.42888888888889 | 0.00111111111111095 |
| 11 | 1.43 | 1.42888888888889 | 0.00111111111111097 |
| 12 | 1.43 | 1.42888888888889 | 0.00111111111111097 |
| 13 | 1.43 | 1.43361111111111 | -0.00361111111111185 |
| 14 | 1.43 | 1.45027777777778 | -0.0202777777777779 |
| 15 | 1.43 | 1.45194444444444 | -0.0219444444444445 |
| 16 | 1.43 | 1.45361111111111 | -0.0236111111111112 |
| 17 | 1.43 | 1.45361111111111 | -0.0236111111111112 |
| 18 | 1.43 | 1.45361111111111 | -0.0236111111111112 |
| 19 | 1.44 | 1.44388888888889 | -0.00388888888888897 |
| 20 | 1.48 | 1.45222222222222 | 0.0277777777777777 |
| 21 | 1.48 | 1.45388888888889 | 0.0261111111111111 |
| 22 | 1.48 | 1.45555555555556 | 0.0244444444444444 |
| 23 | 1.48 | 1.45555555555556 | 0.0244444444444444 |
| 24 | 1.48 | 1.45555555555556 | 0.0244444444444444 |
| 25 | 1.48 | 1.46027777777778 | 0.0197222222222216 |
| 26 | 1.48 | 1.47694444444444 | 0.00305555555555555 |
| 27 | 1.48 | 1.47861111111111 | 0.00138888888888892 |
| 28 | 1.48 | 1.48027777777778 | -0.000277777777777775 |
| 29 | 1.48 | 1.48027777777778 | -0.000277777777777789 |
| 30 | 1.48 | 1.48027777777778 | -0.000277777777777771 |
| 31 | 1.48 | 1.47055555555556 | 0.00944444444444446 |
| 32 | 1.48 | 1.47888888888889 | 0.00111111111111112 |
| 33 | 1.48 | 1.48055555555556 | -0.000555555555555545 |
| 34 | 1.48 | 1.48222222222222 | -0.00222222222222221 |
| 35 | 1.48 | 1.48222222222222 | -0.00222222222222222 |
| 36 | 1.48 | 1.48222222222222 | -0.00222222222222221 |
| 37 | 1.48 | 1.48694444444445 | -0.00694444444444504 |
| 38 | 1.48 | 1.50361111111111 | -0.0236111111111111 |
| 39 | 1.48 | 1.50527777777778 | -0.0252777777777777 |
| 40 | 1.48 | 1.50694444444444 | -0.0269444444444444 |
| 41 | 1.48 | 1.50694444444444 | -0.0269444444444444 |
| 42 | 1.48 | 1.50694444444444 | -0.0269444444444444 |
| 43 | 1.48 | 1.49722222222222 | -0.0172222222222221 |
| 44 | 1.48 | 1.50555555555556 | -0.0255555555555555 |
| 45 | 1.48 | 1.50722222222222 | -0.0272222222222221 |
| 46 | 1.48 | 1.50888888888889 | -0.0288888888888888 |
| 47 | 1.48 | 1.50888888888889 | -0.0288888888888888 |
| 48 | 1.48 | 1.50888888888889 | -0.0288888888888888 |
| 49 | 1.48 | 1.51361111111111 | -0.0336111111111116 |
| 50 | 1.57 | 1.53027777777778 | 0.0397222222222224 |
| 51 | 1.58 | 1.53194444444444 | 0.0480555555555558 |
| 52 | 1.58 | 1.53361111111111 | 0.0463888888888891 |
| 53 | 1.58 | 1.53361111111111 | 0.0463888888888891 |
| 54 | 1.58 | 1.53361111111111 | 0.0463888888888891 |
| 55 | 1.59 | 1.60222222222222 | -0.0122222222222221 |
| 56 | 1.6 | 1.61055555555556 | -0.0105555555555554 |
| 57 | 1.6 | 1.61222222222222 | -0.0122222222222221 |
| 58 | 1.61 | 1.61388888888889 | -0.00388888888888877 |
| 59 | 1.61 | 1.61388888888889 | -0.00388888888888877 |
| 60 | 1.61 | 1.61388888888889 | -0.00388888888888876 |
| 61 | 1.62 | 1.61861111111111 | 0.00138888888888843 |
| 62 | 1.63 | 1.63527777777778 | -0.00527777777777783 |
| 63 | 1.63 | 1.63694444444444 | -0.00694444444444445 |
| 64 | 1.64 | 1.63861111111111 | 0.00138888888888886 |
| 65 | 1.64 | 1.63861111111111 | 0.00138888888888886 |
| 66 | 1.64 | 1.63861111111111 | 0.00138888888888887 |
| 67 | 1.64 | 1.62888888888889 | 0.0111111111111111 |
| 68 | 1.64 | 1.63722222222222 | 0.00277777777777776 |
| 69 | 1.65 | 1.63888888888889 | 0.0111111111111111 |
| 70 | 1.65 | 1.64055555555556 | 0.00944444444444444 |
| 71 | 1.65 | 1.64055555555556 | 0.00944444444444445 |
| 72 | 1.65 | 1.64055555555556 | 0.00944444444444444 |
