Multiple Linear Regression - Estimated Regression Equation

hoogte[t] = + 3.79804983737547 + 0.0114890321966031gewicht[t] + 1.1388895664414veldgoal[t] -0.0493155495249556vrijeworp[t] -0.00827334697367462puntpergame[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)	3.79804983737547	0.448437	8.4695	0	0
gewicht	0.0114890321966031	0.001454	7.8993	0	0
veldgoal	1.1388895664414	0.794921	1.4327	0.158291	0.079145
vrijeworp	-0.0493155495249556	0.380348	-0.1297	0.897367	0.448683
puntpergame	-0.00827334697367462	0.00666	-1.2423	0.220051	0.110026

Multiple Linear Regression - Regression Statistics
Multiple R	0.843716966762635
R-squared	0.711858320003141
Adjusted R-squared	0.68833655020748
F-TEST (value)	30.2638077911309
F-TEST (DF numerator)	4
F-TEST (DF denominator)	49
p-value	1.06203934535642e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.256185836033174
Sum Squared Residuals	3.21592794661679

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	6.8	6.77721642853969	0.0227835714603127
2	6.3	6.22538994160265	0.0746100583973457
3	6.4	6.33205158165479	0.0679484183452135
4	6.2	6.2365984856893	-0.0365984856893019
5	6.9	6.42833720864958	0.471662791350417
6	6.4	6.60878764903926	-0.208787649039261
7	6.3	6.36319559706509	-0.0631955970650903
8	6.8	6.8627513965157	-0.0627513965157051
9	6.9	6.91416451469152	-0.0141645146915233
10	6.7	6.61331142502497	0.0866885749750283
11	6.9	7.00306804035636	-0.10306804035636
12	6.9	7.06171595334801	-0.161715953348009
13	6.3	6.24748665649617	0.0525133435038309
14	6.1	6.29669442621608	-0.19669442621608
15	6.2	6.16215743711725	0.0378425628827506
16	6.8	6.64826701462435	0.15173298537565
17	6.5	6.39985542078765	0.100144579212345
18	7.6	6.81164892355689	0.788351076443113
19	6.3	6.50037165329436	-0.200371653294361
20	7.1	7.00733646046228	0.0926635395377213
21	6.8	6.71735070836702	0.0826492916329766
22	7.3	7.27674029295754	0.0232597070424619
23	6.4	6.62716862979572	-0.227168629795722
24	6.8	6.87505529519688	-0.0750552951968792
25	7.2	6.83808566347504	0.361914336524963
26	6.4	6.34164021067202	0.0583597893279758
27	6.6	6.8028011287696	-0.202801128769602
28	6.8	6.56015789460165	0.239842105398347
29	6.1	6.23984804432862	-0.139848044328621
30	6.5	6.82232627045329	-0.322326270453292
31	6.4	6.3354844961717	0.0645155038282995
32	6	6.15011945108905	-0.150119451089046
33	6	6.38236303276735	-0.382363032767349
34	7.3	7.27674029295754	0.0232597070424619
35	6.1	6.11104785141792	-0.0110478514179177
36	6.7	7.0335500727241	-0.333550072724105
37	6.4	6.5974806689817	-0.197480668981698
38	5.8	5.97276246233688	-0.172762462336878
39	6.9	6.85610273090796	0.043897269092039
40	7	7.02165825889132	-0.0216582588913217
41	7.3	6.81078248475974	0.489217515240259
42	5.9	5.77694776918253	0.123052230817475
43	6.2	6.44015844681562	-0.240158446815625
44	6.8	7.01991994842145	-0.219919948421446
45	7	6.85158236882005	0.148417631179946
46	5.9	5.30652438522779	0.593475614772211
47	6.1	6.32751520664154	-0.227515206641542
48	5.7	6.198832904207	-0.498832904207001
49	7.1	7.02283013699327	0.0771698630067342
50	5.8	6.2094750450265	-0.409475045026501
51	7.4	7.06097619479748	0.339023805202517
52	6.8	6.8014858275243	-0.00148582752430329
53	6.8	6.70448126571023	0.0955187342897736
54	7	6.82959834427763	0.170401655722373

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
8	0.286048075185397	0.572096150370794	0.713951924814603
9	0.30523552330061	0.610471046601219	0.69476447669939
10	0.179743224618973	0.359486449237946	0.820256775381027
11	0.118628635068766	0.237257270137531	0.881371364931234
12	0.0747521210093732	0.149504242018746	0.925247878990627
13	0.039224860372961	0.078449720745922	0.96077513962704
14	0.0523661495163532	0.104732299032706	0.947633850483647
15	0.0282107790787211	0.0564215581574423	0.97178922092128
16	0.015033437161634	0.0300668743232681	0.984966562838366
17	0.00746595142365502	0.01493190284731	0.992534048576345
18	0.561038588854905	0.87792282229019	0.438961411145095
19	0.532156136206185	0.93568772758763	0.467843863793815
20	0.445716043044195	0.89143208608839	0.554283956955805
21	0.363880277021774	0.727760554043548	0.636119722978226
22	0.286166773227947	0.572333546455894	0.713833226772053
23	0.293974204366866	0.587948408733732	0.706025795633134
24	0.231360895427348	0.462721790854696	0.768639104572652
25	0.281519087799959	0.563038175599918	0.718480912200041
26	0.216307554053464	0.432615108106927	0.783692445946536
27	0.207439420269825	0.414878840539651	0.792560579730175
28	0.198719324488744	0.397438648977488	0.801280675511256
29	0.162738845195896	0.325477690391792	0.837261154804104
30	0.174595456754882	0.349190913509765	0.825404543245118
31	0.130458061425241	0.260916122850483	0.869541938574759
32	0.103833898131014	0.207667796262028	0.896166101868986
33	0.144853427724198	0.289706855448396	0.855146572275802
34	0.100128546828263	0.200257093656527	0.899871453171737
35	0.066808042663104	0.133616085326208	0.933191957336896
36	0.0827640560119361	0.165528112023872	0.917235943988064
37	0.0611325055383198	0.12226501107664	0.93886749446168
38	0.0454385216481936	0.0908770432963873	0.954561478351806
39	0.0275924230604014	0.0551848461208029	0.972407576939599
40	0.0190956555340728	0.0381913110681456	0.980904344465927
41	0.0474693062148107	0.0949386124296213	0.95253069378519
42	0.028492804944222	0.0569856098884441	0.971507195055778
43	0.018616726621752	0.037233453243504	0.981383273378248
44	0.016422954609859	0.0328459092197181	0.98357704539014
45	0.0249398650260114	0.0498797300520227	0.975060134973989
46	0.884221274359827	0.231557451280346	0.115778725640173

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	6	0.153846153846154	NOK
10% type I error level	12	0.307692307692308	NOK