| Multiple Linear Regression - Estimated Regression Equation |
| Geslacht[t] = + 0.546988 + 0.0136768Drugs[t] + 0.017241Fruit[t] + 0.0691923Sport[t] + 0.00962489Alcohol[t] -0.17179Gebgewicht[t] + 0.289796Inter[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) | +0.547 | 0.113 | +4.8420e+00 | 0.0003218 | 0.0001609 |
| Drugs | +0.01368 | 0.03174 | +4.3090e-01 | 0.6736 | 0.3368 |
| Fruit | +0.01724 | 0.02745 | +6.2810e-01 | 0.5408 | 0.2704 |
| Sport | +0.06919 | 0.02804 | +2.4680e+00 | 0.02824 | 0.01412 |
| Alcohol | +0.009625 | 0.02912 | +3.3050e-01 | 0.7463 | 0.3731 |
| Gebgewicht | -0.1718 | 0.03421 | -5.0210e+00 | 0.000234 | 0.000117 |
| Inter | +0.2898 | 0.007163 | +4.0460e+01 | 4.63e-15 | 2.315e-15 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.9964 |
| R-squared | 0.9928 |
| Adjusted R-squared | 0.9894 |
| F-TEST (value) | 297 |
| F-TEST (DF numerator) | 6 |
| F-TEST (DF denominator) | 13 |
| p-value | 3.864e-13 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.05278 |
| Sum Squared Residuals | 0.03621 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1 | 0.9383 | 0.06171 |
| 2 | 0 | 0.006947 | -0.006947 |
| 3 | 1 | 0.9971 | 0.002935 |
| 4 | 0 | -0.02741 | 0.02741 |
| 5 | 1 | 1.001 | -0.0008526 |
| 6 | 0 | 0.09683 | -0.09683 |
| 7 | 1 | 1.068 | -0.06787 |
| 8 | 0 | -0.02741 | 0.02741 |
| 9 | 1 | 1.009 | -0.009089 |
| 10 | 0 | -0.01986 | 0.01986 |
| 11 | 1 | 0.9932 | 0.006764 |
| 12 | 0 | -0.03704 | 0.03704 |
| 13 | 1 | 0.9466 | 0.0534 |
| 14 | 0 | -0.02295 | 0.02295 |
| 15 | 1 | 1.072 | -0.07166 |
| 16 | 0 | -0.01029 | 0.01029 |
| 17 | 1 | 0.9718 | 0.02819 |
| 18 | 0 | 0.01141 | -0.01141 |
| 19 | 1 | 0.9673 | 0.03267 |
| 20 | 0 | 0.06598 | -0.06598 |
