Multiple Linear Regression - Estimated Regression Equation

Goede_gezinssituatie_België[t] = -47.4242515620179 + 2.10299421534183huwelijk[t] -0.903615524277149echtscheiding[t] + 0.643466733838713verklaring_samenwonend[t] -0.0158173105073099stopzetting_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)	-47.4242515620179	22.997368	-2.0622	0.084803	0.042401
huwelijk	2.10299421534183	0.535396	3.9279	0.007731	0.003866
echtscheiding	-0.903615524277149	0.428031	-2.1111	0.079253	0.039626
verklaring_samenwonend	0.643466733838713	0.035619	18.0652	2e-06	1e-06
stopzetting_samenwonend	-0.0158173105073099	0.016157	-0.979	0.365404	0.182702

Multiple Linear Regression - Regression Statistics
Multiple R	0.994405230155849
R-squared	0.988841761761306
Adjusted R-squared	0.981402936268844
F-TEST (value)	132.929823768989
F-TEST (DF numerator)	4
F-TEST (DF denominator)	6
p-value	5.51057752251616e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.3053152258897
Sum Squared Residuals	31.8868697443133

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	23.045	22.899914597578	0.145085402422028
2	32.638	28.4067406361741	4.23125936382587
3	14.842	15.6344197734706	-0.792419773470551
4	17.489	19.2806693969444	-1.79166939694437
5	25.857	27.2250910536169	-1.36809105361694
6	36.874	35.2548516801963	1.6191483198037
7	40.78	42.5593032294748	-1.77930322947481
8	52.955	52.879424204906	0.0755757950939548
9	57.898	57.4788113448668	0.419188655133197
10	57.95	57.3304572234434	0.619542776556634
11	59.787	61.1653168593287	-1.37831685932872