| Multiple Linear Regression - Estimated Regression Equation |
| y[t] = + 8.28867924528302 -0.701179245283019x[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) | 8.28867924528302 | 0.053951 | 153.6321 | 0 | 0 |
| x | -0.701179245283019 | 0.148978 | -4.7066 | 1.6e-05 | 8e-06 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.522463881294972 |
| R-squared | 0.272968507257806 |
| Adjusted R-squared | 0.26064593958421 |
| F-TEST (value) | 22.1519178866183 |
| F-TEST (DF numerator) | 1 |
| F-TEST (DF denominator) | 59 |
| p-value | 1.56729584050996e-05 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.392772792974747 |
| Sum Squared Residuals | 9.1019575471698 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 8.2 | 8.28867924528302 | -0.0886792452830169 |
| 2 | 8 | 8.28867924528302 | -0.288679245283019 |
| 3 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 4 | 8.3 | 8.28867924528302 | 0.0113207547169819 |
| 5 | 8.2 | 8.28867924528302 | -0.0886792452830195 |
| 6 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 7 | 7.7 | 8.28867924528302 | -0.588679245283019 |
| 8 | 7.6 | 8.28867924528302 | -0.688679245283019 |
| 9 | 7.7 | 8.28867924528302 | -0.588679245283019 |
| 10 | 8.2 | 8.28867924528302 | -0.0886792452830195 |
| 11 | 8.4 | 8.28867924528302 | 0.111320754716982 |
| 12 | 8.4 | 8.28867924528302 | 0.111320754716982 |
| 13 | 8.6 | 8.28867924528302 | 0.311320754716981 |
| 14 | 8.4 | 8.28867924528302 | 0.111320754716982 |
| 15 | 8.5 | 8.28867924528302 | 0.211320754716981 |
| 16 | 8.7 | 8.28867924528302 | 0.411320754716980 |
| 17 | 8.7 | 8.28867924528302 | 0.411320754716980 |
| 18 | 8.6 | 8.28867924528302 | 0.311320754716981 |
| 19 | 7.4 | 8.28867924528302 | -0.888679245283018 |
| 20 | 7.3 | 8.28867924528302 | -0.988679245283019 |
| 21 | 7.4 | 8.28867924528302 | -0.888679245283018 |
| 22 | 9 | 8.28867924528302 | 0.711320754716981 |
| 23 | 9.2 | 8.28867924528302 | 0.91132075471698 |
| 24 | 9.2 | 8.28867924528302 | 0.91132075471698 |
| 25 | 8.5 | 8.28867924528302 | 0.211320754716981 |
| 26 | 8.3 | 8.28867924528302 | 0.0113207547169819 |
| 27 | 8.3 | 8.28867924528302 | 0.0113207547169819 |
| 28 | 8.6 | 8.28867924528302 | 0.311320754716981 |
| 29 | 8.6 | 8.28867924528302 | 0.311320754716981 |
| 30 | 8.5 | 8.28867924528302 | 0.211320754716981 |
| 31 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 32 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 33 | 8 | 8.28867924528302 | -0.288679245283019 |
| 34 | 8.6 | 8.28867924528302 | 0.311320754716981 |
| 35 | 8.7 | 8.28867924528302 | 0.411320754716980 |
| 36 | 8.7 | 8.28867924528302 | 0.411320754716980 |
| 37 | 8.6 | 8.28867924528302 | 0.311320754716981 |
| 38 | 8.4 | 8.28867924528302 | 0.111320754716982 |
| 39 | 8.4 | 8.28867924528302 | 0.111320754716982 |
| 40 | 8.7 | 8.28867924528302 | 0.411320754716980 |
| 41 | 8.7 | 8.28867924528302 | 0.411320754716980 |
| 42 | 8.5 | 8.28867924528302 | 0.211320754716981 |
| 43 | 8.3 | 8.28867924528302 | 0.0113207547169819 |
| 44 | 8.3 | 8.28867924528302 | 0.0113207547169819 |
| 45 | 8.3 | 8.28867924528302 | 0.0113207547169819 |
| 46 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 47 | 8.2 | 8.28867924528302 | -0.0886792452830195 |
| 48 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 49 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 50 | 7.9 | 8.28867924528302 | -0.388679245283018 |
| 51 | 7.7 | 8.28867924528302 | -0.588679245283019 |
| 52 | 8.1 | 8.28867924528302 | -0.188679245283019 |
| 53 | 8 | 8.28867924528302 | -0.288679245283019 |
| 54 | 7.7 | 7.5875 | 0.112500000000000 |
| 55 | 7.8 | 7.5875 | 0.2125 |
| 56 | 7.6 | 7.5875 | 0.0124999999999996 |
| 57 | 7.4 | 7.5875 | -0.187500000000000 |
| 58 | 7.7 | 7.5875 | 0.112500000000000 |
| 59 | 7.8 | 7.5875 | 0.2125 |
| 60 | 7.5 | 7.5875 | -0.0875 |
| 61 | 7.2 | 7.5875 | -0.3875 |
