Multiple Linear Regression - Estimated Regression Equation

Belgie[t] = + 5.44047619047621 + 0.640476190476199Eurogebied[t] -0.511904761904773`EU-27`[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)	5.44047619047621	2.062087	2.6383	0.026987	0.013494
Eurogebied	0.640476190476199	0.374788	1.7089	0.121642	0.060821
`EU-27`	-0.511904761904773	0.588063	-0.8705	0.406649	0.203325

Multiple Linear Regression - Regression Statistics
Multiple R	0.870477689070553
R-squared	0.757731407169611
Adjusted R-squared	0.703893942096191
F-TEST (value)	14.0744257950531
F-TEST (DF numerator)	2
F-TEST (DF denominator)	9
p-value	0.00169565316795883
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0773913301954293
Sum Squared Residuals	0.0539047619047617

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	7.2	7.09761904761905	0.10238095238095
2	7.2	7.11047619047619	0.089523809523811
3	7.1	7.17452380952381	-0.0745238095238092
4	7.1	7.18738095238095	-0.0873809523809529
5	7.1	7.2002380952381	-0.100238095238095
6	7.2	7.21309523809524	-0.0130952380952365
7	7.3	7.34119047619048	-0.0411904761904761
8	7.4	7.35404761904762	0.0459523809523807
9	7.4	7.36690476190476	0.0330952380952382
10	7.5	7.43095238095238	0.0690476190476182
11	7.4	7.3797619047619	0.0202380952380957
12	7.4	7.44380952380952	-0.043809523809524