Multiple Linear Regression - Estimated Regression Equation

slaagkans[t] = + 26.8300788181571 -0.397186876336619verzekeraar[t] + 0.525635231419669kost[t] + 0.734765737056836grootte[t] + 0.0308685622071769snelheid[t] + 0.318502498855332maand[t] -0.144918874305115t + 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)	26.8300788181571	27.276257	0.9836	0.330794	0.165397
verzekeraar	-0.397186876336619	2.82093	-0.1408	0.888685	0.444343
kost	0.525635231419669	0.165611	3.1739	0.002778	0.001389
grootte	0.734765737056836	4.48739	0.1637	0.870703	0.435351
snelheid	0.0308685622071769	0.135522	0.2278	0.820901	0.41045
maand	0.318502498855332	1.145549	0.278	0.782318	0.391159
t	-0.144918874305115	0.287528	-0.504	0.616822	0.308411

Multiple Linear Regression - Regression Statistics
Multiple R	0.48447998367525
R-squared	0.234720854581971
Adjusted R-squared	0.127937718012013
F-TEST (value)	2.19810788596003
F-TEST (DF numerator)	6
F-TEST (DF denominator)	43
p-value	0.0615615092501303
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	28.0290263146554
Sum Squared Residuals	33781.9315943488

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	73	69.9428042058523	3.05719579414767
2	28	33.0103958459621	-5.01039584596211
3	40	37.4364212260157	2.56357877398427
4	79	77.1457759184018	1.85422408159817
5	75	71.1148800534806	3.88511994651942
6	21	49.1156914535551	-28.1156914535551
7	16	44.6824944773005	-28.6824944773005
8	81	61.0229774359705	19.9770225640295
9	90	54.26725032417	35.73274967583
10	87	64.8809190663154	22.1190809336846
11	99	60.8057014051499	38.1942985948501
12	54	58.5707906743502	-4.57079067435022
13	53	74.4616778600394	-21.4616778600394
14	6	63.6620313370442	-57.6620313370442
15	71	60.3667640534394	10.6332359465606
16	93	69.55237271424	23.4476272857600
17	82	69.5958388548387	12.4041611451613
18	32	70.0784939205875	-38.0784939205875
19	93	77.8366041656607	15.1633958343393
20	24	63.6131390576111	-39.6131390576111
21	96	66.1561912998012	29.8438087001988
22	88	78.2207028311218	9.77929716887823
23	83	31.5765443127978	51.4234556872022
24	23	46.3241302272365	-23.3241302272365
25	23	46.1041863742642	-23.1041863742642
26	20	53.840489157971	-33.8404891579710
27	33	46.9575652833125	-13.9575652833125
28	88	65.0209883655595	22.9790116344405
29	42	34.895143091905	7.10485690809502
30	98	64.1234261375546	33.8765738624454
31	34	40.9141373207600	-6.91413732076004
32	59	60.2264814984457	-1.22648149844572
33	26	29.5407927271432	-3.54079272714322
34	64	61.7047168321768	2.29528316782319
35	13	62.0333120192965	-49.0333120192965
36	6	40.9499173845933	-34.9499173845933
37	49	35.9554257671481	13.0445742328519
38	3	36.3065596303886	-33.3065596303886
39	87	47.7812450604872	39.2187549395128
40	77	56.5622914521314	20.4377085478686
41	70	73.3873270981743	-3.38732709817425
42	76	28.8867923494886	47.1132076505114
43	82	65.0552284797315	16.9447715202685
44	12	51.8095344093154	-39.8095344093154
45	44	37.8505258630150	6.14947413698505
46	63	38.0746297010116	24.9253702989884
47	35	42.0273539798517	-7.02735397985172
48	69	49.0874186551782	19.9125813448218
49	10	28.2786005183774	-18.2786005183774
50	36	55.1853181217762	-19.1853181217762

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.409373249122097	0.818746498244193	0.590626750877903
11	0.296628931176052	0.593257862352105	0.703371068823948
12	0.318731295663219	0.637462591326437	0.681268704336781
13	0.31920096103706	0.63840192207412	0.68079903896294
14	0.7557064478902	0.488587104219601	0.244293552109800
15	0.692333428276687	0.615333143446626	0.307666571723313
16	0.658917773695881	0.682164452608237	0.341082226304119
17	0.565399285314008	0.869201429371985	0.434600714685992
18	0.608883126274927	0.782233747450147	0.391116873725073
19	0.532422381523346	0.935155236953308	0.467577618476654
20	0.568094044388775	0.86381191122245	0.431905955611225
21	0.57412547363144	0.85174905273712	0.42587452636856
22	0.491072043977386	0.982144087954773	0.508927956022614
23	0.685827839878086	0.628344320243827	0.314172160121914
24	0.653538884260759	0.692922231478482	0.346461115739241
25	0.603272556796337	0.793454886407326	0.396727443203663
26	0.631358118012329	0.737283763975342	0.368641881987671
27	0.55707073165368	0.88585853669264	0.44292926834632
28	0.527289578563129	0.945420842873742	0.472710421436871
29	0.452733039460211	0.905466078920423	0.547266960539789
30	0.549517815371967	0.900964369256067	0.450482184628033
31	0.454379057419053	0.908758114838106	0.545620942580947
32	0.36477232796456	0.72954465592912	0.63522767203544
33	0.271927901566851	0.543855803133702	0.728072098433149
34	0.193468072562519	0.386936145125038	0.806531927437481
35	0.25939847397099	0.51879694794198	0.74060152602901
36	0.276442535614200	0.552885071228401	0.7235574643858
37	0.233818336453230	0.467636672906459	0.76618166354677
38	0.447136143282249	0.894272286564497	0.552863856717751
39	0.374919712280863	0.749839424561725	0.625080287719137
40	0.376014540805878	0.752029081611755	0.623985459194122

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