| Multiple Linear Regression - Estimated Regression Equation |
| Numeracy[t] = -202.176 + 0.131942Geslacht[t] -4.74997Drugs[t] -0.666716Fruit[t] -0.00954697Sport[t] -2.135Alcohol[t] + 122.795Gebgewicht[t] -17.523Gebgew2[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) | -202.2 | 52.99 | -3.8150e+00 | 0.00246 | 0.00123 |
| Geslacht | +0.1319 | 1.792 | +7.3640e-02 | 0.9425 | 0.4713 |
| Drugs | -4.75 | 2.344 | -2.0260e+00 | 0.06555 | 0.03277 |
| Fruit | -0.6667 | 1.993 | -3.3450e-01 | 0.7438 | 0.3719 |
| Sport | -0.009547 | 2.042 | -4.6740e-03 | 0.9963 | 0.4982 |
| Alcohol | -2.135 | 2.26 | -9.4480e-01 | 0.3634 | 0.1817 |
| Gebgewicht | +122.8 | 31.51 | +3.8970e+00 | 0.00212 | 0.00106 |
| Gebgew2 | -17.52 | 4.615 | -3.7970e+00 | 0.002544 | 0.001272 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.7974 |
| R-squared | 0.6358 |
| Adjusted R-squared | 0.4234 |
| F-TEST (value) | 2.993 |
| F-TEST (DF numerator) | 7 |
| F-TEST (DF denominator) | 12 |
| p-value | 0.04599 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 3.811 |
| Sum Squared Residuals | 174.3 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 6 | 6.713 | -0.7135 |
| 2 | 7 | 9.419 | -2.419 |
| 3 | 2 | 5.822 | -3.822 |
| 4 | 11 | 10.15 | 0.853 |
| 5 | 13 | 11.74 | 1.26 |
| 6 | 3 | -3.123 | 6.123 |
| 7 | 17 | 10.11 | 6.893 |
| 8 | 10 | 10.15 | -0.147 |
| 9 | 4 | 6.794 | -2.794 |
| 10 | 12 | 12.09 | -0.09337 |
| 11 | 7 | 10.27 | -3.271 |
| 12 | 11 | 12.28 | -1.282 |
| 13 | 3 | 4.391 | -1.391 |
| 14 | 5 | 6.652 | -1.652 |
| 15 | 1 | 1.306 | -0.3061 |
| 16 | 12 | 10.09 | 1.914 |
| 17 | 18 | 12.92 | 5.081 |
| 18 | 8 | 8.027 | -0.02731 |
| 19 | 6 | 6.936 | -0.9363 |
| 20 | 1 | 4.269 | -3.269 |
