Multiple Linear Regression - Estimated Regression Equation
aardolie[t] = + 105.902437335453 + 0.260822749386354steenkool[t] -0.490019872160268uranium[t] + 0.385014270991853metaal[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)105.9024373354533.04608834.766700
steenkool0.2608227493863540.3416720.76340.4477710.223886
uranium-0.4900198721602680.365943-1.33910.1848220.092411
metaal0.3850142709918530.333431.15470.2520820.126041


Multiple Linear Regression - Regression Statistics
Multiple R0.237087147254995
R-squared0.0562103153935118
Adjusted R-squared0.016331878015773
F-TEST (value)1.40954157408609
F-TEST (DF numerator)3
F-TEST (DF denominator)71
p-value0.247137354616372
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.76717145602555
Sum Squared Residuals5457.29396909379


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1100107.992383037736-7.99238303773588
299110.349916503544-11.349916503544
3108106.9231599054921.07684009450848
4103109.529076414511-6.52907641451079
599104.9382010045-5.93820100449973
6115110.9449419768734.0550580231273
790104.714697373639-14.7146973736394
895106.783146170641-11.7831461706413
9114106.0040604295527.9959395704484
10108110.734930774536-2.73493077453588
11112106.2039429105575.79605708944267
12109107.3499285244271.6500714755731
13105107.057480148428-2.05748014842811
14105108.498225123141-3.49822512314073
15118107.83656588951810.1634341104822
16103106.608143101986-3.60814310198627
17112106.5697712611125.4302287388879
18116106.837340224769.16265977523982
1996106.315694725987-10.3156947259875
20101102.796372232942-1.79637223294191
21116107.0789770537098.92102294629055
22119109.201619904839.79838009516981
23115108.2148339462486.78516605375208
24108104.2223665166353.77763348336508
25111106.5324521425864.46754785741396
26108103.9197894193054.08021058069497
27121107.53398879218813.4660112078121
28109106.3032550198122.69674498018788
29112108.7849800072263.2150199927741
30119106.56407776919812.4359222308015
31104108.641602565183-4.64160256518331
32105106.494080301712-1.49408030171187
33115108.7466081663526.25339183364827
34124106.8407227318317.1592772681704
35116105.07483223228110.9251677677194
36107104.2223665166352.77763348336508
37115105.1730916191879.82690838081273
38116108.1640223991987.8359776008016
39116109.5990738819976.4009261180026
40119110.1500340225388.84996597746171
41111102.1380955063888.86190449361166
42118108.0048227439119.9951772560889
43106102.2622870279943.73771297200616
44103108.934050941182-5.93405094118211
45118105.04890009758212.9510999024182
46118106.22312883099411.7768711690056
47102103.025569355716-1.02556935571582
48100104.129800621642-4.12980062164185
4994103.802344111961-9.80234411196126
5094105.129026286399-11.1290262863995
51102105.218209674323-3.21820967432317
5295105.848243281334-10.8482432813337
5392107.463991324701-15.4639913247013
54102107.37817164397-5.37817164396998
5591107.712374367912-16.7123743679123
5689105.253217808005-16.253217808005
57104109.306625505999-5.30662550599861
58105105.56823461151-0.568234611510219
5999106.933288626823-7.93328862682261
6095105.278097220356-10.2780972203557
6190107.314920390745-17.3149203907451
6296110.194099355326-14.1940993553261
63113109.1316224373443.86837756265642
64101103.318017731715-2.31801773171461
65101108.71160003267-7.71160003266993
66113107.868191516135.13180848386976
6796104.253992143247-8.25399214324735
6897103.7955978977-6.79559789769953
69114104.9573869249379.04261307506318
70112105.377409329616.62259067038952
71108108.71160003267-0.711600032669926
72107106.6849055836120.315094416388392
73103107.178289162964-4.17828916296424
74107103.7131607240383.28683927596244
75122108.67997440605713.3200255939425


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4202184124842270.8404368249684550.579781587515773
80.2809244290430520.5618488580861040.719075570956948
90.2215663392520140.4431326785040290.778433660747986
100.1456053873630060.2912107747260110.854394612636994
110.3057802636123840.6115605272247690.694219736387616
120.2387383079939480.4774766159878960.761261692006052
130.2389755971671080.4779511943342160.761024402832892
140.1789643900707580.3579287801415170.821035609929242
150.3068404456664790.6136808913329590.693159554333521
160.2336425389992770.4672850779985540.766357461000723
170.2429291377273430.4858582754546850.757070862272657
180.2991458575283480.5982917150566960.700854142471652
190.3091996947361860.6183993894723710.690800305263815
200.2397003582224370.4794007164448740.760299641777563
210.2706652559787470.5413305119574940.729334744021253
220.3034186352122040.6068372704244070.696581364787796
230.2851220642286620.5702441284573240.714877935771338
240.2298002427898070.4596004855796140.770199757210193
250.1854424321478190.3708848642956390.81455756785218
260.1488351106768730.2976702213537470.851164889323127
270.235124575203960.470249150407920.76487542479604
280.1841311669760320.3682623339520650.815868833023968
290.142251665672990.284503331345980.85774833432701
300.1718919351866830.3437838703733660.828108064813317
310.1445875028662640.2891750057325290.855412497133736
320.1105467609279680.2210935218559360.889453239072032
330.09366416312647960.1873283262529590.90633583687352
340.1979072961034790.3958145922069590.802092703896521
350.215397714752470.430795429504940.78460228524753
360.1747784419641390.3495568839282780.825221558035861
370.1838177726595480.3676355453190950.816182227340452
380.1782993745358030.3565987490716050.821700625464197
390.1640270777140670.3280541554281350.835972922285933
400.1828714162609890.3657428325219770.817128583739011
410.1748592453479790.3497184906959570.825140754652021
420.20885631563890.4177126312778010.7911436843611
430.1711037325516160.3422074651032320.828896267448384
440.1469720007516070.2939440015032130.853027999248393
450.2487303510206980.4974607020413970.751269648979302
460.3946324434615660.7892648869231310.605367556538434
470.3570950460112370.7141900920224740.642904953988763
480.3158316425892170.6316632851784340.684168357410783
490.3462340590878560.6924681181757120.653765940912144
500.3773460958312930.7546921916625860.622653904168707
510.3198246893205120.6396493786410240.680175310679488
520.3510143683218040.7020287366436090.648985631678196
530.403111021368170.806222042736340.59688897863183
540.3395069384307880.6790138768615750.660493061569212
550.4487036171507420.8974072343014850.551296382849258
560.6419931456280440.7160137087439120.358006854371956
570.5696268694258790.8607462611482410.43037313057412
580.4829619810210480.9659239620420960.517038018978952
590.4625381738710130.9250763477420270.537461826128987
600.4097791541158980.8195583082317950.590220845884103
610.7020611455741070.5958777088517860.297938854425893
620.7889642606000830.4220714787998330.211035739399917
630.7116000450189430.5767999099621150.288399954981057
640.6349777776498420.7300444447003160.365022222350158
650.6871433336911620.6257133326176760.312856666308838
660.6508073112827940.6983853774344120.349192688717206
670.6127010793422110.7745978413155770.387298920657789
680.4728780224418510.9457560448837010.527121977558149


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK