| Multiple Linear Regression - Estimated Regression Equation |
| Jaar[t] = + 1998.6091295581 + 0.0769468887630163Huwelijk[t] -0.0301797258171767Echtscheiding[t] + 0.120756614770616Verklaring_samenwonend[t] -0.00826696249292465Stopzetting_samenwonend[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) | 1998.6091295581 | 12.246536 | 163.1979 | 0 | 0 |
| Huwelijk | 0.0769468887630163 | 0.285108 | 0.2699 | 0.79629 | 0.398145 |
| Echtscheiding | -0.0301797258171767 | 0.227935 | -0.1324 | 0.898993 | 0.449496 |
| Verklaring_samenwonend | 0.120756614770616 | 0.018968 | 6.3664 | 0.000705 | 0.000353 |
| Stopzetting_samenwonend | -0.00826696249292465 | 0.008604 | -0.9608 | 0.373743 | 0.186871 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.958017048189479 |
| R-squared | 0.917796664621682 |
| Adjusted R-squared | 0.862994441036136 |
| F-TEST (value) | 16.7474347676607 |
| F-TEST (DF numerator) | 4 |
| F-TEST (DF denominator) | 6 |
| p-value | 0.00208493255055575 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 1.2276241886679 |
| Sum Squared Residuals | 9.04236689161511 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 2000 | 2000.06873134118 | -0.0687313411766344 |
| 2 | 2001 | 2003.53902341045 | -2.53902341044628 |
| 3 | 2002 | 2001.84537014423 | 0.154629855765078 |
| 4 | 2003 | 2002.2028480045 | 0.797151995502225 |
| 5 | 2004 | 2003.21510286038 | 0.784897139618134 |
| 6 | 2005 | 2004.68388873553 | 0.316111264466528 |
| 7 | 2006 | 2005.2771025929 | 0.722897407097324 |
| 8 | 2007 | 2007.08679997668 | -0.0867999766792036 |
| 9 | 2008 | 2008.64720087022 | -0.647200870219291 |
| 10 | 2009 | 2008.94767271842 | 0.0523272815770262 |
| 11 | 2010 | 2009.48625934551 | 0.513740654495094 |
