Multiple Linear Regression - Estimated Regression Equation

IQ[t] = + 104.28175232058 + 2.56339144215531Geslacht[t] + 2.79284582295676Gewest[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)	104.28175232058	4.636978	22.4892	0	0
Geslacht	2.56339144215531	6.12914	0.4182	0.678196	0.339098
Gewest	2.79284582295676	3.72694	0.7494	0.458374	0.229187

Multiple Linear Regression - Regression Statistics
Multiple R	0.176609884555284
R-squared	0.0311910513226308
Adjusted R-squared	-0.0211769999572269
F-TEST (value)	0.595612220816545
F-TEST (DF numerator)	2
F-TEST (DF denominator)	37
p-value	0.556423700610235
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	17.6028720617483
Sum Squared Residuals	11464.8608784243

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	85	104.28175232058	-19.2817523205795
2	82	109.637989585692	-27.6379895856916
3	97	112.430835408648	-15.4308354086484
4	132	112.430835408648	19.5691645913516
5	120	109.637989585692	10.3620104143084
6	95	104.28175232058	-9.28175232057958
7	100	109.637989585692	-9.63798958569165
8	106	104.28175232058	1.71824767942042
9	108	104.28175232058	3.71824767942042
10	140	109.867443966493	30.1325560335069
11	141	106.845143762735	34.1548562372651
12	123	109.637989585692	13.3620104143084
13	115	104.28175232058	10.7182476794204
14	103	109.867443966493	-6.8674439664931
15	96	112.430835408648	-16.4308354086484
16	91	107.074598143536	-16.0745981435363
17	85	107.074598143536	-22.0745981435363
18	89	106.845143762735	-17.8451437627349
19	109	112.430835408648	-3.4308354086484
20	111	106.845143762735	4.15485623726511
21	93	107.074598143536	-14.0745981435363
22	94	104.28175232058	-10.2817523205796
23	98	109.637989585692	-11.6379895856916
24	108	112.430835408648	-4.4308354086484
25	118	104.28175232058	13.7182476794204
26	117	109.637989585692	7.36201041430835
27	94	104.28175232058	-10.2817523205796
28	102	109.637989585692	-7.63798958569165
29	114	112.430835408648	1.5691645913516
30	99	112.430835408648	-13.4308354086484
31	87	104.28175232058	-17.2817523205796
32	90	106.845143762735	-16.8451437627349
33	125	107.074598143536	17.9254018564637
34	143	104.28175232058	38.7182476794204
35	141	112.430835408648	28.5691645913516
36	133	112.430835408648	20.5691645913516
37	126	104.28175232058	21.7182476794204
38	124	109.637989585692	14.3620104143084
39	97	109.867443966493	-12.8674439664931
40	100	109.637989585692	-9.63798958569165

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.770661406167901	0.458677187664198	0.229338593832099
7	0.632741215887896	0.734517568224209	0.367258784112104
8	0.547425474164086	0.905149051671827	0.452574525835914
9	0.450670507645022	0.901341015290044	0.549329492354978
10	0.409716238770715	0.819432477541431	0.590283761229285
11	0.873348333189994	0.253303333620012	0.126651666810006
12	0.835379512044763	0.329240975910474	0.164620487955237
13	0.783044332057981	0.433911335884039	0.216955667942019
14	0.722535534039638	0.554928931920724	0.277464465960362
15	0.708512472017354	0.582975055965292	0.291487527982646
16	0.683813060954823	0.632373878090355	0.316186939045177
17	0.717376326108434	0.565247347783132	0.282623673891566
18	0.709771035637393	0.580457928725214	0.290228964362607
19	0.62307843388702	0.753843132225961	0.37692156611298
20	0.53208816870427	0.935823662591459	0.46791183129573
21	0.504489239601264	0.991021520797472	0.495510760398736
22	0.449618469383169	0.899236938766339	0.55038153061683
23	0.391057548076031	0.782115096152062	0.608942451923969
24	0.308046930736484	0.616093861472968	0.691953069263516
25	0.262242495827338	0.524484991654675	0.737757504172662
26	0.195631756205873	0.391263512411747	0.804368243794127
27	0.164546185525472	0.329092371050945	0.835453814474528
28	0.117458244819733	0.234916489639465	0.882541755180267
29	0.0727706597438519	0.145541319487704	0.927229340256148
30	0.066436852549583	0.132873705099166	0.933563147450417
31	0.0965662583389727	0.193132516677945	0.903433741661027
32	0.204073657302805	0.40814731460561	0.795926342697195
33	0.142799420640753	0.285598841281506	0.857200579359247
34	0.223407848399155	0.446815696798311	0.776592151600845

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	0	0	OK