| Multiple Linear Regression - Estimated Regression Equation |
| echtscheiding[t] = + 3 -0.04aantalkinderen[t] + 0.12stresserendejob[t] -0.025seksleven[t] -0.07openkunnenpraten[t] + 1storingsterm[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) | 3 | 1.87748e-16 | 1.598e+16 | 0 | 0 |
| aantalkinderen | -0.04 | 4.22436e-17 | -9.469e+14 | 0 | 0 |
| stresserendejob | 0.12 | 1.99169e-16 | 6.025e+14 | 0 | 0 |
| seksleven | -0.025 | 2.06817e-16 | -1.209e+14 | 0 | 0 |
| openkunnenpraten | -0.07 | 2.10732e-16 | -3.322e+14 | 0 | 0 |
| storingsterm | 1 | 1.14321e-15 | 8.747e+14 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 1 |
| R-squared | 1 |
| Adjusted R-squared | 1 |
| F-TEST (value) | 3.91015e+29 |
| F-TEST (DF numerator) | 5 |
| F-TEST (DF denominator) | 54 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 4.39454e-16 |
| Sum Squared Residuals | 1.04285e-29 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 2.93922 | 2.93922 | -2.97494e-15 |
| 2 | 2.89789 | 2.89789 | 1.2786e-16 |
| 3 | 2.82138 | 2.82138 | -2.01861e-16 |
| 4 | 2.97683 | 2.97683 | -8.41566e-17 |
| 5 | 2.98658 | 2.98658 | 1.94475e-16 |
| 6 | 3.0861 | 3.0861 | 7.68369e-17 |
| 7 | 2.97033 | 2.97033 | -6.7337e-17 |
| 8 | 3.00142 | 3.00142 | 8.09235e-17 |
| 9 | 2.89608 | 2.89608 | -8.05664e-17 |
| 10 | 3.04874 | 3.04874 | 1.04386e-17 |
| 11 | 2.95188 | 2.95188 | 3.74245e-16 |
| 12 | 2.85632 | 2.85632 | 1.48041e-16 |
| 13 | 2.87991 | 2.87991 | 2.12184e-16 |
| 14 | 3.04026 | 3.04026 | 3.19728e-16 |
| 15 | 3.00308 | 3.00308 | -7.52195e-17 |
| 16 | 2.95979 | 2.95979 | 8.2969e-17 |
| 17 | 2.91799 | 2.91799 | -2.07232e-16 |
| 18 | 2.81894 | 2.81894 | 6.80413e-17 |
| 19 | 2.91478 | 2.91478 | 2.61458e-16 |
| 20 | 2.9151 | 2.9151 | 1.50292e-16 |
| 21 | 2.84746 | 2.84746 | 4.63622e-17 |
| 22 | 2.91412 | 2.91412 | 8.4319e-17 |
| 23 | 2.92374 | 2.92374 | -1.30824e-17 |
| 24 | 2.91347 | 2.91347 | 2.76574e-16 |
| 25 | 2.76833 | 2.76833 | 3.93433e-16 |
| 26 | 2.78036 | 2.78036 | 1.72821e-18 |
| 27 | 2.87243 | 2.87243 | 2.18175e-17 |
| 28 | 2.95701 | 2.95701 | -1.05359e-16 |
| 29 | 2.87757 | 2.87757 | 3.73782e-16 |
| 30 | 2.89279 | 2.89279 | 1.21432e-16 |
| 31 | 2.9381 | 2.9381 | 4.70593e-17 |
| 32 | 2.96309 | 2.96309 | 5.75886e-17 |
| 33 | 2.94781 | 2.94781 | 1.69129e-16 |
| 34 | 2.92906 | 2.92906 | -6.07139e-17 |
| 35 | 2.79827 | 2.79827 | -1.47597e-16 |
| 36 | 3.04696 | 3.04696 | -8.49833e-17 |
| 37 | 2.90947 | 2.90947 | 1.29181e-16 |
| 38 | 2.91694 | 2.91694 | -3.86157e-16 |
| 39 | 2.93695 | 2.93695 | 4.06797e-18 |
| 40 | 2.93518 | 2.93518 | -2.89131e-17 |
| 41 | 3.0716 | 3.0716 | 2.11483e-17 |
| 42 | 2.94497 | 2.94497 | 2.34561e-16 |
| 43 | 2.9974 | 2.9974 | -1.23429e-16 |
| 44 | 3.04836 | 3.04836 | 1.79629e-16 |
| 45 | 2.85983 | 2.85983 | 2.01481e-17 |
| 46 | 2.8855 | 2.8855 | 1.24452e-16 |
| 47 | 2.83787 | 2.83787 | -7.87854e-17 |
| 48 | 2.87987 | 2.87987 | 1.97239e-17 |
| 49 | 2.98706 | 2.98706 | 1.02779e-16 |
| 50 | 2.89918 | 2.89918 | -1.11038e-16 |
| 51 | 2.73158 | 2.73158 | -7.9014e-17 |
| 52 | 2.90862 | 2.90862 | -2.06043e-16 |
| 53 | 2.72623 | 2.72623 | 6.78595e-17 |
| 54 | 2.8839 | 2.8839 | -2.8839e-17 |
| 55 | 2.92622 | 2.92622 | 6.0462e-17 |
| 56 | 2.93302 | 2.93302 | 8.11853e-17 |
| 57 | 3.09939 | 3.09939 | 3.81951e-17 |
| 58 | 2.92951 | 2.92951 | -1.2359e-16 |
| 59 | 2.94869 | 2.94869 | 2.93187e-16 |
| 60 | 2.99711 | 2.99711 | 1.91558e-16 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 9 | 0.526851 | 0.946299 | 0.473149 |
| 10 | 0.714118 | 0.571763 | 0.285882 |
| 11 | 0.671242 | 0.657517 | 0.328758 |
| 12 | 0.999279 | 0.00144155 | 0.000720774 |
| 13 | 0.263744 | 0.527487 | 0.736256 |
| 14 | 1 | 2.68857e-13 | 1.34428e-13 |
| 15 | 0.9999 | 0.000199653 | 9.98264e-05 |
| 16 | 0.450638 | 0.901276 | 0.549362 |
| 17 | 0.351352 | 0.702704 | 0.648648 |
| 18 | 0.999981 | 3.76458e-05 | 1.88229e-05 |
| 19 | 1 | 3.45426e-16 | 1.72713e-16 |
| 20 | 0.0443641 | 0.0887282 | 0.955636 |
| 21 | 0.0700408 | 0.140082 | 0.929959 |
| 22 | 0.116365 | 0.232729 | 0.883635 |
| 23 | 1 | 2.54634e-10 | 1.27317e-10 |
| 24 | 0.873907 | 0.252185 | 0.126093 |
| 25 | 0.00473143 | 0.00946286 | 0.995269 |
| 26 | 0.912734 | 0.174532 | 0.0872658 |
| 27 | 1.29795e-07 | 2.59591e-07 | 1 |
| 28 | 0.139701 | 0.279402 | 0.860299 |
| 29 | 0.288648 | 0.577295 | 0.711352 |
| 30 | 0.825265 | 0.34947 | 0.174735 |
| 31 | 0.999999 | 1.86243e-06 | 9.31214e-07 |
| 32 | 1 | 3.10175e-07 | 1.55087e-07 |
| 33 | 0.934354 | 0.131292 | 0.0656461 |
| 34 | 0.719612 | 0.560776 | 0.280388 |
| 35 | 1.33017e-09 | 2.66033e-09 | 1 |
| 36 | 0.978572 | 0.0428552 | 0.0214276 |
| 37 | 0.999996 | 8.49936e-06 | 4.24968e-06 |
| 38 | 0.000451748 | 0.000903496 | 0.999548 |
| 39 | 0.265036 | 0.530073 | 0.734964 |
| 40 | 0.19741 | 0.394819 | 0.80259 |
| 41 | 3.74778e-06 | 7.49556e-06 | 0.999996 |
| 42 | 0.0367568 | 0.0735136 | 0.963243 |
| 43 | 0.0395275 | 0.079055 | 0.960472 |
| 44 | 0.343821 | 0.687641 | 0.656179 |
| 45 | 0.0146023 | 0.0292047 | 0.985398 |
| 46 | 5.87227e-08 | 1.17445e-07 | 1 |
| 47 | 0.871847 | 0.256307 | 0.128153 |
| 48 | 0.532258 | 0.935485 | 0.467742 |
| 49 | 0.82932 | 0.341359 | 0.17068 |
| 50 | 0.276045 | 0.55209 | 0.723955 |
| 51 | 0.0590573 | 0.118115 | 0.940943 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 15 | 0.348837 | NOK |
| 5% type I error level | 17 | 0.395349 | NOK |
| 10% type I error level | 20 | 0.465116 | NOK |
