Multiple Linear Regression - Estimated Regression Equation

Master[t] = -11432.9 -0.00777938Totaal[t] + 0.00896101Secundair[t] + 10.9383Professionele[t] + 0.126617Academische[t] + 44.8066Doctoraat[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)	-11432.9	75373	-0.1517	0.893355	0.446677
Totaal	-0.00777938	0.0305657	-0.2545	0.822877	0.411439
Secundair	0.00896101	0.273885	0.03272	0.976871	0.488435
Professionele	10.9383	13.6006	0.8042	0.505657	0.252828
Academische	0.126617	0.786118	0.1611	0.886841	0.44342
Doctoraat	44.8066	133.182	0.3364	0.768566	0.384283

Multiple Linear Regression - Regression Statistics
Multiple R	0.987921
R-squared	0.975989
Adjusted R-squared	0.91596
F-TEST (value)	16.2587
F-TEST (DF numerator)	5
F-TEST (DF denominator)	2
p-value	0.058952
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	862.108
Sum Squared Residuals	1486460

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	29452	29785.4	-333.373
2	30653	30800.8	-147.754
3	31863	31577.1	285.892
4	31813	32085.3	-272.321
5	34019	33617.3	401.652
6	36853	36375.1	477.881
7	37287	38094.3	-807.255
8	35957	35561.7	395.277