Multiple Linear Regression - Estimated Regression Equation

IQ[t] = + 100.668495405294 + 2.66163763544096Geslacht[t] + 9.45933342477026Gewest1[t] + 4.61665066520368Gewest2[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)	100.668495405294	3.512906	28.6568	0	0
Geslacht	2.66163763544096	3.510605	0.7582	0.453284	0.226642
Gewest1	9.45933342477026	4.308356	2.1956	0.034651	0.017326
Gewest2	4.61665066520368	4.533756	1.0183	0.315338	0.157669

Multiple Linear Regression - Regression Statistics
Multiple R	0.381306098353126
R-squared	0.145394340641284
Adjusted R-squared	0.0741772023613911
F-TEST (value)	2.04156392903439
F-TEST (DF numerator)	3
F-TEST (DF denominator)	36
p-value	0.125360174487121
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	10.8544580549029
Sum Squared Residuals	4241.49334796324

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	102	100.668495405294	1.33150459470577
2	120	110.127828830064	9.87217116993554
3	98	112.789466465505	-14.7894664655054
4	99	100.668495405294	-1.6684954052942
5	98	107.946783705939	-9.94678370593883
6	105	112.789466465505	-7.78946646550542
7	100	107.946783705939	-7.94678370593883
8	97	110.127828830064	-13.1278288300645
9	89	103.330133040735	-14.3301330407352
10	111	100.668495405294	10.3315045947058
11	122	112.789466465505	9.21053353449458
12	123	105.285146070498	17.7148539295021
13	126	112.789466465505	13.2105335344946
14	107	103.330133040735	3.66986695926485
15	94	110.127828830064	-16.1278288300645
16	100	105.285146070498	-5.28514607049787
17	108	100.668495405294	7.3315045947058
18	109	112.789466465505	-3.78946646550542
19	115	105.285146070498	9.71485392950213
20	95	107.946783705939	-12.9467837059388
21	89	100.668495405294	-11.6684954052942
22	116	112.789466465505	3.21053353449458
23	120	107.946783705939	12.0532162940612
24	114	107.946783705939	6.05321629406117
25	110	110.127828830064	-0.127828830064462
26	125	112.789466465505	12.2105335344946
27	97	103.330133040735	-6.33013304073515
28	102	110.127828830064	-8.12782883006446
29	100	107.946783705939	-7.94678370593883
30	101	105.285146070498	-4.28514607049787
31	116	110.127828830064	5.87217116993554
32	126	107.946783705939	18.0532162940612
33	99	103.330133040735	-4.33013304073515
34	94	105.285146070498	-11.2851460704979
35	104	107.946783705939	-3.94678370593883
36	122	100.668495405294	21.3315045947058
37	130	112.789466465505	17.2105335344946
38	104	110.127828830064	-6.12782883006446
39	95	100.668495405294	-5.6684954052942
40	112	112.789466465505	-0.789466465505416

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
7	0.031520278804382	0.0630405576087639	0.968479721195618
8	0.338781407067116	0.677562814134231	0.661218592932884
9	0.244004161036837	0.488008322073675	0.755995838963163
10	0.248919167255205	0.49783833451041	0.751080832744795
11	0.476850782447726	0.953701564895452	0.523149217552274
12	0.571345970731389	0.857308058537221	0.428654029268611
13	0.71649929183885	0.5670014163223	0.28350070816115
14	0.671912810317451	0.656174379365098	0.328087189682549
15	0.780666891136139	0.438666217727721	0.219333108863861
16	0.717667789766054	0.564664420467891	0.282332210233946
17	0.661189048795208	0.677621902409583	0.338810951204792
18	0.585040157537257	0.829919684925486	0.414959842462743
19	0.574138549581347	0.851722900837306	0.425861450418653
20	0.603478122014617	0.793043755970766	0.396521877985383
21	0.607069657920771	0.785860684158457	0.392930342079229
22	0.529265630721444	0.941468738557111	0.470734369278556
23	0.542263401010293	0.915473197979413	0.457736598989707
24	0.464958686289969	0.929917372579938	0.535041313710031
25	0.361799062050474	0.723598124100947	0.638200937949526
26	0.344117883893886	0.688235767787772	0.655882116106114
27	0.308667836440661	0.617335672881322	0.691332163559339
28	0.262560552104404	0.525121104208809	0.737439447895596
29	0.218858625709271	0.437717251418542	0.781141374290729
30	0.143036795319135	0.286073590638269	0.856963204680865
31	0.0924739387275173	0.184947877455035	0.907526061272483
32	0.179722041332311	0.359444082664622	0.820277958667689
33	0.204387807649911	0.408775615299821	0.79561219235009

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	1	0.037037037037037	OK