Multiple Linear Regression - Estimated Regression Equation
uranium[t] = + 10.4198362622427 -0.0983291210707209steenkool[t] -0.0502686414095913aardolie[t] + 0.00832036145604093metaal[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)10.41983626224273.9531262.63580.01030.00515
steenkool-0.09832912107072090.109261-0.90.3711890.185594
aardolie-0.05026864140959130.03754-1.33910.1848220.092411
metaal0.008320361456040930.1077870.07720.9386880.469344


Multiple Linear Regression - Regression Statistics
Multiple R0.199274928016713
R-squared0.0397104969360662
Adjusted R-squared-0.000865115869452149
F-TEST (value)0.978678920424476
F-TEST (DF numerator)3
F-TEST (DF denominator)71
p-value0.407775507294677
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.80802666520141
Sum Squared Residuals559.835976426232


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
164.877880647963631.12211935203637
224.62484156470501-2.62484156470501
344.32748022687993-0.327480226879927
404.4888146743132-4.4888146743132
585.403154171814742.59684582818526
603.81222294069551-3.81222294069551
785.019016807199052.98098319280095
895.030894733940863.96910526605914
944.52583434523203-0.525834345232026
1024.18074415347473-2.18074415347473
1164.028076540170841.97192345982916
1214.67052806975322-3.67052806975322
1305.16658999860375-5.16658999860375
1404.46996578965266-4.46996578965266
1554.063053862205660.936946137794339
1674.603784518296012.39621548170399
1753.921427057644081.07857294235592
1864.048621301042041.95137869895796
1965.250652371375310.749347628624691
2094.851057874520394.14894212547961
2153.835322335988521.16467766401148
2234.02110558225211-1.02110558225211
2343.795582217783430.204417782216571
2455.00746371291893-0.00746371291893328
2554.90657995742640.0934200425735951
2684.720796711162813.27920328883719
2783.625580936220774.37441906377923
2864.908788119174871.09121188082513
2924.56132395280465-2.56132395280465
3064.307772584008231.69222741599177
3114.74185375757182-3.74185375757182
3234.97825211791835-1.97825211791835
3304.18057834061027-4.18057834061027
3413.80152860462655-2.80152860462655
3584.34360866425423.6563913357458
3655.05773235432852-0.0577323543285246
3763.958959014100712.04104098589929
3823.82700197453248-1.82700197453248
3933.86860378181268-0.868603781812681
4004.21776382439355-4.21776382439355
4194.75000830616344.2499916938366
4263.661417016466742.33858298353326
4395.108000995738123.89199900426188
4424.49713503576925-2.49713503576925
4563.701503607345172.29849639265483
4673.84143453569613.1585654643039
4784.899118354181523.10088164581848
4865.106305119527460.89369488047254
4995.744506138477373.25549386152263
5055.52288681196781-0.522886811967811
5195.268988970498053.73101102950195
5235.57094729162894-2.57094729162894
5355.05009009127475-0.0500900912747499
5474.670693882617682.32930611738232
5555.31365769773786-0.313657697737865
5655.88087950154253-0.880879501542529
5724.76681484193994-2.76681484193994
5825.05162015462095-3.05162015462095
5905.36155236453453-5.36155236453453
6054.956011480836490.0439885191635077
6155.66723406381566-0.66723406381566
6214.86565624854847-3.86565624854847
6304.2894359848855-4.2894359848855
6494.654399632378954.34560036762105
6544.92594112762475-0.925941127624754
6664.117738827112181.88226117288782
6765.414029167692590.585970832307413
6885.167102284141552.83289771585845
6994.764094394653674.23590560534633
7054.831350231648690.168649768351309
7144.57406063775761-0.574060637757615
7204.74610426820428-4.74610426820428
7355.21872032908846-0.218720329088455
7454.942762510345720.0572374896542781
7534.06695790016478-1.06695790016478


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.5014083408667530.9971833182664940.498591659133247
80.5282918258101340.9434163483797320.471708174189866
90.3846598317570450.769319663514090.615340168242955
100.2699838127927690.5399676255855380.730016187207231
110.461854509635840.923709019271680.53814549036416
120.553278459316050.89344308136790.44672154068395
130.741706788018990.5165864239620210.25829321198101
140.7683695902715780.4632608194568440.231630409728422
150.7757881769107220.4484236461785560.224211823089278
160.7620114059796640.4759771880406720.237988594020336
170.7581612317217420.4836775365565170.241838768278258
180.7597735173413820.4804529653172350.240226482658618
190.6925399455416130.6149201089167730.307460054458386
200.7803616330842560.4392767338314880.219638366915744
210.7443019709224210.5113960581551580.255698029077579
220.681332655429450.63733468914110.31866734457055
230.6129694188817050.774061162236590.387030581118295
240.5408525109868390.9182949780263220.459147489013161
250.4684730908961190.9369461817922380.531526909103881
260.4964999623577450.992999924715490.503500037642255
270.6116642058486750.7766715883026490.388335794151325
280.5483213541037580.9033572917924840.451678645896242
290.5334000875582110.9331998248835780.466599912441789
300.488867145912150.97773429182430.51113285408785
310.538176796581770.923646406836460.46182320341823
320.4977687170739080.9955374341478160.502231282926092
330.5629905707688460.8740188584623090.437009429231154
340.5541322033812350.8917355932375310.445867796618765
350.5991639885857630.8016720228284740.400836011414237
360.5332368689408040.9335262621183920.466763131059196
370.5045471565469550.9909056869060890.495452843453045
380.4645117852919780.9290235705839560.535488214708022
390.4040583202403130.8081166404806270.595941679759687
400.5027986265530810.9944027468938380.497201373446919
410.5720761554272620.8558476891454750.427923844572738
420.5407038060889430.9185923878221150.459296193911057
430.5890582367950110.8218835264099790.410941763204989
440.5802030877047060.8395938245905880.419796912295294
450.5453500773058310.9092998453883390.454649922694169
460.5597214940446480.8805570119107050.440278505955352
470.5912752528010940.8174494943978120.408724747198906
480.5373412717895950.925317456420810.462658728210405
490.5553506022831090.8892987954337820.444649397716891
500.4867598917066110.9735197834132220.513240108293389
510.5503077919747110.8993844160505780.449692208025289
520.5189757426472230.9620485147055530.481024257352777
530.4415566457605210.8831132915210410.558443354239479
540.4204224095459990.8408448190919980.579577590454001
550.3458214735743060.6916429471486120.654178526425694
560.278551996570520.557103993141040.72144800342948
570.2579442417926930.5158884835853870.742055758207307
580.2406974467226480.4813948934452960.759302553277352
590.41106455881840.82212911763680.5889354411816
600.325469595711470.6509391914229390.67453040428853
610.2525319625031240.5050639250062480.747468037496876
620.3260593495709710.6521186991419420.673940650429029
630.4292521229529040.8585042459058090.570747877047096
640.5829021720934120.8341956558131770.417097827906588
650.5339614584545020.9320770830909950.466038541545498
660.5237026249180230.9525947501639530.476297375081977
670.3799650173849350.7599300347698690.620034982615065
680.6196865347082930.7606269305834130.380313465291707


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