| Multiple Linear Regression - Estimated Regression Equation |
| y[t] = + 98.8 + 2.38148148148147`x `[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) | 98.8 | 3.066235 | 32.2219 | 0 | 0 |
| `x ` | 2.38148148148147 | 3.258918 | 0.7308 | 0.467819 | 0.233909 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.0947089920200564 |
| R-squared | 0.00896979316945512 |
| Adjusted R-squared | -0.0078273289802151 |
| F-TEST (value) | 0.534007735940124 |
| F-TEST (DF numerator) | 1 |
| F-TEST (DF denominator) | 59 |
| p-value | 0.467818896835352 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 8.1124945289804 |
| Sum Squared Residuals | 3882.94148148148 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 110.4 | 98.8 | 11.6000000000001 |
| 2 | 96.4 | 98.8 | -2.40000000000000 |
| 3 | 101.9 | 98.8 | 3.1 |
| 4 | 106.2 | 98.8 | 7.4 |
| 5 | 81 | 98.8 | -17.8 |
| 6 | 94.7 | 98.8 | -4.10000000000001 |
| 7 | 101 | 98.8 | 2.19999999999999 |
| 8 | 109.4 | 101.181481481481 | 8.21851851851852 |
| 9 | 102.3 | 101.181481481481 | 1.11851851851851 |
| 10 | 90.7 | 101.181481481481 | -10.4814814814815 |
| 11 | 96.2 | 101.181481481481 | -4.98148148148148 |
| 12 | 96.1 | 101.181481481481 | -5.08148148148149 |
| 13 | 106 | 101.181481481481 | 4.81851851851852 |
| 14 | 103.1 | 101.181481481481 | 1.91851851851851 |
| 15 | 102 | 101.181481481481 | 0.818518518518517 |
| 16 | 104.7 | 101.181481481481 | 3.51851851851852 |
| 17 | 86 | 101.181481481481 | -15.1814814814815 |
| 18 | 92.1 | 101.181481481481 | -9.0814814814815 |
| 19 | 106.9 | 101.181481481481 | 5.71851851851852 |
| 20 | 112.6 | 101.181481481481 | 11.4185185185185 |
| 21 | 101.7 | 101.181481481481 | 0.518518518518519 |
| 22 | 92 | 101.181481481481 | -9.18148148148148 |
| 23 | 97.4 | 101.181481481481 | -3.78148148148148 |
| 24 | 97 | 101.181481481481 | -4.18148148148148 |
| 25 | 105.4 | 101.181481481481 | 4.21851851851852 |
| 26 | 102.7 | 101.181481481481 | 1.51851851851852 |
| 27 | 98.1 | 101.181481481481 | -3.08148148148149 |
| 28 | 104.5 | 101.181481481481 | 3.31851851851852 |
| 29 | 87.4 | 101.181481481481 | -13.7814814814815 |
| 30 | 89.9 | 101.181481481481 | -11.2814814814815 |
| 31 | 109.8 | 101.181481481481 | 8.61851851851852 |
| 32 | 111.7 | 101.181481481481 | 10.5185185185185 |
| 33 | 98.6 | 101.181481481481 | -2.58148148148149 |
| 34 | 96.9 | 101.181481481481 | -4.28148148148148 |
| 35 | 95.1 | 101.181481481481 | -6.08148148148149 |
| 36 | 97 | 101.181481481481 | -4.18148148148148 |
| 37 | 112.7 | 101.181481481481 | 11.5185185185185 |
| 38 | 102.9 | 101.181481481481 | 1.71851851851852 |
| 39 | 97.4 | 101.181481481481 | -3.78148148148148 |
| 40 | 111.4 | 101.181481481481 | 10.2185185185185 |
| 41 | 87.4 | 101.181481481481 | -13.7814814814815 |
| 42 | 96.8 | 101.181481481481 | -4.38148148148149 |
| 43 | 114.1 | 101.181481481481 | 12.9185185185185 |
| 44 | 110.3 | 101.181481481481 | 9.11851851851852 |
| 45 | 103.9 | 101.181481481481 | 2.71851851851852 |
| 46 | 101.6 | 101.181481481481 | 0.418518518518511 |
| 47 | 94.6 | 101.181481481481 | -6.58148148148149 |
| 48 | 95.9 | 101.181481481481 | -5.28148148148148 |
| 49 | 104.7 | 101.181481481481 | 3.51851851851852 |
| 50 | 102.8 | 101.181481481481 | 1.61851851851851 |
| 51 | 98.1 | 101.181481481481 | -3.08148148148149 |
| 52 | 113.9 | 101.181481481481 | 12.7185185185185 |
| 53 | 80.9 | 101.181481481481 | -20.2814814814815 |
| 54 | 95.7 | 101.181481481481 | -5.48148148148148 |
| 55 | 113.2 | 101.181481481481 | 12.0185185185185 |
| 56 | 105.9 | 101.181481481481 | 4.71851851851852 |
| 57 | 108.8 | 101.181481481481 | 7.61851851851851 |
| 58 | 102.3 | 101.181481481481 | 1.11851851851851 |
| 59 | 99 | 101.181481481481 | -2.18148148148148 |
| 60 | 100.7 | 101.181481481481 | -0.48148148148148 |
| 61 | 115.5 | 101.181481481481 | 14.3185185185185 |
