Multiple Linear Regression - Estimated Regression Equation

prijsindex[t] = -6.49131317463051 + 0.194126667093335gezondheid[t] + 0.826140660513675tabak[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)	-6.49131317463051	8.0729	-0.8041	0.425395	0.212698
gezondheid	0.194126667093335	0.166926	1.163	0.25072	0.12536
tabak	0.826140660513675	0.137668	6.001	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.917991413357293
R-squared	0.84270823499772
Adjusted R-squared	0.836014968401879
F-TEST (value)	125.903880105608
F-TEST (DF numerator)	2
F-TEST (DF denominator)	47
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	1.23009476535401
Sum Squared Residuals	71.1172571923129

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	116.24	114.948447584741	1.2915524152588
2	116.03	114.528196713751	1.50180328624867
3	115.94	114.349920147888	1.59007985211185
4	114.19	114.728499924975	-0.538499924974906
5	115.74	114.614329252267	1.1256707477328
6	115.4	114.332040593958	1.0679594060423
7	115.2	113.891340283401	1.30865971659892
8	114.82	113.303831827608	1.51616817239175
9	114.33	113.404954066556	0.925045933444501
10	111.84	112.954999669551	-1.11499966955092
11	113.16	112.377649794019	0.782350205980518
12	112.52	112.231426174734	0.288573825265968
13	112.39	112.122086622196	0.267913377803681
14	112.24	112.047281715843	0.19271828415663
15	112.1	111.644414058863	0.455585941137394
16	109.85	111.637641672022	-1.78764167202168
17	111.89	111.74892249123	0.141077508769689
18	111.88	112.048770735608	-0.16877073560758
19	111.48	111.761606864113	-0.281606864113397
20	110.98	111.638678444879	-0.658678444879157
21	110.42	111.075998301916	-0.655998301916409
22	107.9	110.743644864055	-2.84364486405468
23	109.46	109.615714692493	-0.155714692492833
24	109.23	109.737242277992	-0.507242277992211
25	109.02	109.434548273131	-0.414548273130577
26	109.04	109.096371035256	-0.0563710352560447
27	109.49	109.212074820743	0.277925179257344
28	107.23	109.5678557377	-2.3378557376996
29	109	109.952755654721	-0.952755654720575
30	109.12	110.700208875539	-1.58020887553942
31	109.24	110.772168021408	-1.53216802140801
32	108.92	110.477735423152	-1.5577354231515
33	109.53	110.548293735285	-1.01829373528523
34	107.06	110.552760794578	-3.49276079457785
35	109.11	109.371423743058	-0.261423743057977
36	109.26	109.315082916586	-0.0550829165862294
37	109.99	109.369570662416	0.62042933758358
38	110.17	108.947830771662	1.22216922833762
39	110.28	108.846840811759	1.43315918824082
40	109.13	109.485450819962	-0.355450819961724
41	110.15	108.777903798434	1.3720962015663
42	109.39	108.969901510037	0.420098489962538
43	108.45	108.305646881221	0.144353118779262
44	108.23	107.140832642911	1.08916735708887
45	107.44	106.668531632683	0.771468367316505
46	104.86	106.437752680676	-1.57775268067574
47	106.23	105.571794006901	0.658205993099405
48	105.85	105.024147657384	0.825852342616074
49	104.95	103.908405518784	1.04159448121628
50	104.46	102.886472799354	1.5735272006462

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.17141100025856	0.342822000517121	0.82858899974144
7	0.0963732468111528	0.192746493622306	0.903626753188847
8	0.0972771529313291	0.194554305862658	0.902722847068671
9	0.0679244187695686	0.135848837539137	0.932075581230431
10	0.377841094604763	0.755682189209525	0.622158905395237
11	0.301488848648861	0.602977697297722	0.698511151351139
12	0.230276501372339	0.460553002744678	0.769723498627661
13	0.17292213195521	0.345844263910419	0.82707786804479
14	0.127115161821524	0.254230323643049	0.872884838178476
15	0.0986249918421074	0.197249983684215	0.901375008157893
16	0.236072549913941	0.472145099827883	0.763927450086059
17	0.196647235364139	0.393294470728279	0.803352764635861
18	0.158004786032152	0.316009572064305	0.841995213967848
19	0.124020112209568	0.248040224419136	0.875979887790432
20	0.0937859239239084	0.187571847847817	0.906214076076092
21	0.0655890045115601	0.13117800902312	0.93441099548844
22	0.195585943210478	0.391171886420956	0.804414056789522
23	0.172029740890267	0.344059481780534	0.827970259109733
24	0.130635453597171	0.261270907194342	0.869364546402829
25	0.104848289836162	0.209696579672325	0.895151710163838
26	0.109597499070427	0.219194998140853	0.890402500929573
27	0.187808535587327	0.375617071174654	0.812191464412673
28	0.171277325922103	0.342554651844205	0.828722674077897
29	0.142874152310266	0.285748304620532	0.857125847689734
30	0.101693520502186	0.203387041004371	0.898306479497814
31	0.0707581528095943	0.141516305619189	0.929241847190406
32	0.050530445028428	0.101060890056856	0.949469554971572
33	0.0406695309617041	0.0813390619234082	0.959330469038296
34	0.482906936944203	0.965813873888406	0.517093063055797
35	0.62789111744664	0.744217765106721	0.372108882553361
36	0.799249367038122	0.401501265923755	0.200750632961878
37	0.901597489814352	0.196805020371295	0.0984025101856477
38	0.960275500224974	0.0794489995500521	0.0397244997750261
39	0.96656633861113	0.066867322777741	0.0334336613888705
40	0.978707456023267	0.0425850879534669	0.0212925439767334
41	0.967842485121163	0.0643150297576746	0.0321575148788373
42	0.929411728879438	0.141176542241124	0.0705882711205621
43	0.851528849481788	0.296942301036425	0.148471150518212
44	0.739845160975651	0.520309678048699	0.260154839024349

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	1	0.0256410256410256	OK
10% type I error level	5	0.128205128205128	NOK