Multiple Linear Regression - Estimated Regression Equation

productie[t] = + 39.4269137050185 + 0.00395615540853418uitvoer[t] -0.102800561057593t + 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)	39.4269137050185	6.625558	5.9507	0	0
uitvoer	0.00395615540853418	0.000378	10.4743	0	0
t	-0.102800561057593	0.037101	-2.7709	0.007282	0.003641

Multiple Linear Regression - Regression Statistics
Multiple R	0.804317913693654
R-squared	0.646927306288513
Adjusted R-squared	0.63606353109739
F-TEST (value)	59.549032901302
F-TEST (DF numerator)	2
F-TEST (DF denominator)	65
p-value	1.99840144432528e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	6.00257543285259
Sum Squared Residuals	2342.00926876055

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	94.6	96.8644154833862	-2.26441548338623
2	95.9	99.0237445849284	-3.12374458492843
3	104.7	108.007837381733	-3.30783738173301
4	102.8	103.032240203984	-0.232240203983869
5	98.1	100.658210822887	-2.55821082288681
6	113.9	106.701297688987	7.19870231101295
7	80.9	97.7165326202294	-16.8165326202294
8	95.7	93.0728568812563	2.62714311874374
9	113.2	107.684976362242	5.51502363775847
10	105.9	102.48110901742	3.41889098258003
11	108.8	107.668083853113	1.13191614688656
12	102.3	103.753923171474	-1.45392317147401
13	99	102.175872258574	-3.17587225857402
14	100.7	103.478693714169	-2.77869371416862
15	115.5	115.244359378714	0.255640621286438
16	100.7	100.700009114343	-9.11434280359558e-06
17	109.9	108.905134911207	0.994865088793022
18	114.6	110.091249782250	4.50875021775017
19	85.4	101.803559296476	-16.4035592964759
20	100.5	96.1273269958753	4.37267300412466
21	114.8	109.16766593305	5.63233406695002
22	116.5	109.984671504477	6.51532849552342
23	112.9	110.118844652390	2.78115534760981
24	102	100.323463340424	1.67653665957613
25	106	105.806754216217	0.193245783783469
26	105.3	104.670210246909	0.629789753091037
27	118.8	114.310629225989	4.48937077401066
28	106.1	104.529490073494	1.57050992650627
29	109.3	109.020181557285	0.279818442714823
30	117.2	112.702234875572	4.49776512442777
31	92.5	108.034426588607	-15.5344265886070
32	104.2	100.198924666029	4.00107533397145
33	112.5	108.726477128688	3.77352287131173
34	122.4	117.093014066221	5.30698593377937
35	113.3	110.826523378667	2.4734766213332
36	100	100.889907318616	-0.889907318615801
37	110.7	109.788547158596	0.911452841403986
38	112.8	110.725028623360	2.07497137663964
39	109.8	111.420184608204	-1.62018460820411
40	117.3	116.604785750652	0.695214249347557
41	109.1	111.667958895907	-2.56795889590694
42	115.9	116.627850411151	-0.727850411150523
43	96	114.354702992971	-18.3547029929711
44	99.8	98.761575929798	1.03842407020207
45	116.8	115.347421344101	1.4525786558991
46	115.7	112.680240847231	3.01975915276855
47	99.4	96.4640193072142	2.93598069278584
48	94.3	91.3998042483139	2.90019575168614
49	91	89.2045930916825	1.79540690831746
50	93.2	90.8927440840684	2.30725591593164
51	103.1	94.6760749808139	8.4239250191861
52	94.1	91.1440789116389	2.95592108836112
53	91.8	88.4931186519444	3.30688134805557
54	102.7	95.933123992798	6.76687600720191
55	82.6	92.0620854051117	-9.4620854051117
56	89.1	83.2110383891625	5.88896161083751
57	104.5	97.6150640956589	6.88493590434115
58	105.1	96.9967764848693	8.10322351513073
59	95.1	96.6882558425679	-1.58825584256790
60	88.7	95.793037353181	-7.0930373531809
61	86.3	93.1313954738834	-6.83139547388341
62	91.8	95.1336652057068	-3.33366520570685
63	111.5	107.757025362822	3.742974637178
64	99.7	99.9832394646166	-0.283239464616634
65	97.5	99.9896287928346	-2.48962879283458
66	111.7	111.206971317757	0.493028682243318
67	86.2	102.488851123534	-16.2888511235342
68	95.4	95.7622595619679	-0.36225956196784

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.224082851364863	0.448165702729726	0.775917148635137
7	0.714505325565865	0.57098934886827	0.285494674434135
8	0.879775193378196	0.240449613243609	0.120224806621804
9	0.827649702150959	0.344700595698082	0.172350297849041
10	0.750741587119463	0.498516825761075	0.249258412880537
11	0.674276384192274	0.651447231615452	0.325723615807726
12	0.598234455269596	0.803531089460808	0.401765544730404
13	0.531518927548521	0.936962144902957	0.468481072451479
14	0.458522717312152	0.917045434624303	0.541477282687848
15	0.392546884540440	0.785093769080879	0.60745311545956
16	0.315506144399651	0.631012288799302	0.684493855600349
17	0.239210683463331	0.478421366926662	0.760789316536669
18	0.189330952446217	0.378661904892433	0.810669047553783
19	0.638079802249111	0.723840395501778	0.361920197750889
20	0.71055692988148	0.578886140237038	0.289443070118519
21	0.675075515459036	0.649848969081927	0.324924484540964
22	0.641238446736572	0.717523106526855	0.358761553263428
23	0.566948822272188	0.866102355455624	0.433051177727812
24	0.498408412033182	0.996816824066363	0.501591587966818
25	0.428214425822482	0.856428851644964	0.571785574177518
26	0.357971370975237	0.715942741950474	0.642028629024763
27	0.29934298608661	0.59868597217322	0.70065701391339
28	0.237764861509706	0.475529723019413	0.762235138490294
29	0.190389661093558	0.380779322187117	0.809610338906442
30	0.151894425110160	0.303788850220319	0.84810557488984
31	0.636784795708818	0.726430408582365	0.363215204291182
32	0.604822489133914	0.790355021732172	0.395177510866086
33	0.542292863284549	0.915414273430902	0.457707136715451
34	0.501937053426956	0.996125893146089	0.498062946573044
35	0.433906966805282	0.867813933610565	0.566093033194718
36	0.375219841989115	0.750439683978229	0.624780158010885
37	0.309610385265875	0.619220770531749	0.690389614734125
38	0.251875321468216	0.503750642936433	0.748124678531784
39	0.209688372022254	0.419376744044508	0.790311627977746
40	0.169958055863829	0.339916111727658	0.830041944136171
41	0.138709377540139	0.277418755080277	0.861290622459861
42	0.108215815822583	0.216431631645166	0.891784184177417
43	0.710015218459314	0.579969563081372	0.289984781540686
44	0.673966738837467	0.652066522325065	0.326033261162533
45	0.624958345428416	0.750083309143169	0.375041654571584
46	0.588087741862229	0.823824516275542	0.411912258137771
47	0.553973143248803	0.892053713502395	0.446026856751197
48	0.502179744958855	0.99564051008229	0.497820255041145
49	0.446892321645939	0.893784643291878	0.553107678354061
50	0.390703299544408	0.781406599088815	0.609296700455592
51	0.348040325551153	0.696080651102306	0.651959674448847
52	0.275369181429590	0.550738362859179	0.72463081857041
53	0.206954976595715	0.41390995319143	0.793045023404285
54	0.163899194516418	0.327798389032837	0.836100805483582
55	0.410838244736696	0.821676489473393	0.589161755263304
56	0.386556496955897	0.773112993911794	0.613443503044103
57	0.328920286394906	0.657840572789812	0.671079713605094
58	0.411208709419804	0.822417418839607	0.588791290580196
59	0.309887906324682	0.619775812649364	0.690112093675318
60	0.265370110842261	0.530740221684522	0.734629889157739
61	0.222562728584453	0.445125457168907	0.777437271415547
62	0.157537315551379	0.315074631102758	0.842462684448621

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