Multiple Linear Regression - Estimated Regression Equation
Metaal [t] = -0.57169233750761 + 0.0657557291538171Steenkool[t] + 0.0478772383029002Aardolie[t] + 0.0100858150957654Uranium[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.571692337507614.559838-0.12540.9005810.45029
Steenkool0.06575572915381710.1207270.54470.5876920.293846
Aardolie0.04787723830290020.0414631.15470.2520820.126041
Uranium0.01008581509576540.1306580.07720.9386880.469344


Multiple Linear Regression - Regression Statistics
Multiple R0.157646879615785
R-squared0.0248525386525937
Adjusted R-squared-0.0163508752071557
F-TEST (value)0.603166978765112
F-TEST (DF numerator)3
F-TEST (DF denominator)71
p-value0.615084981117305
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.09161660911552
Sum Squared Residuals678.624621300887


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
194.671080758279914.32891924172009
284.78012744705543.2198725529446
335.0996827636654-2.09968276366539
444.88570904092165-0.885709040921649
574.314596504399452.68540349560055
675.525991629710271.47400837028973
714.40974719290389-3.40974719290389
894.527707741206524.47229225879348
945.05816754771371-1.05816754771371
1095.21102259178153.7889774082185
1135.37711907622234-2.37711907622234
1234.85427964006573-1.85427964006573
1334.45541768429691-1.45541768429691
1424.91570778837363-2.91570778837363
1585.457029503482532.54297049651747
1664.890554017438191.10944598256181
1725.43278899028039-3.43278899028039
1865.437116571126310.56288342887369
1964.348060346760671.65193965323933
2004.68345971271629-4.68345971271629
2145.55854221433818-1.55854221433818
2295.48473511159393.5152648884061
2355.56633489009333-0.566334890093331
2424.64947847468444-2.64947847468444
2584.793110189593143.20688981040686
2634.87700310743319-1.87700310743319
2795.828185851139983.17181414886002
2884.773197257236923.22680274276308
2985.00799717007022.9920028299298
3085.317725369419742.68227463058026
3154.746404906858860.253595093141137
3244.61718658789184-0.617186587891843
3345.262968713095-1.262968713095
3415.63819394376305-4.63819394376305
3565.260021013856390.73997898614361
3624.60160123638154-2.60160123638154
3715.45499506197723-4.45499506197723
3835.52828476905088-2.52828476905088
3985.538370584146652.46162941585335
4095.322966207998973.67703379200103
4114.89920917913002-3.89920917913002
4275.730138235193561.26986176480644
4324.5940672584617-2.5940672584617
4454.905880671113180.0941193288868201
4505.66438250603974-5.66438250603974
4655.60871259198169-0.608712591981693
4704.6554954067696-4.6554954067696
4814.47381357081845-3.47381357081845
4964.01954039882691.9804596011731
5034.11070859675147-1.11070859675147
5194.468314034403924.53168596559608
5234.07265847570902-1.07265847570902
5354.409488495068570.590511504931426
5484.842676779135293.15732322086471
5574.230099798458042.76990020154196
5643.805566676083150.194433323916847
5784.756490721954633.24350927804537
5814.54134504364226-3.54134504364226
5924.23390998363333-2.23390998363333
6004.48736448082346-4.48736448082346
6183.984955372693694.01504462730631
6274.560654187897112.43934581210289
6355.1672142364892-0.1672142364892
6404.81497117102392-4.81497117102392
6594.633030637237464.36696936276254
6685.359240585371432.64075941462857
6724.21654888845304-2.21654888845304
6824.4161092152551-2.4161092152551
6994.97708516488494.0229148351151
7054.840987427896040.159012572103959
7194.968171305357764.03182869464224
7204.74843934836416-4.74843934836416
7394.475848012323764.52415198767624
7404.66735696553536-4.66735696553536
7595.496855368194963.50314463180504


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.7279953836630720.5440092326738550.272004616336928
80.7789810257919990.4420379484160020.221018974208001
90.7413954421999680.5172091156000650.258604557800032
100.7292548681262340.5414902637475320.270745131873766
110.6819301588694760.6361396822610490.318069841130525
120.6527606409912420.6944787180175160.347239359008758
130.5753397486468690.8493205027062630.424660251353131
140.5567321434898440.8865357130203110.443267856510156
150.5047127316604660.9905745366790680.495287268339534
160.4149237772396350.8298475544792710.585076222760365
170.4645864328723840.9291728657447680.535413567127616
180.3788974633597410.7577949267194820.621102536640259
190.3076063975268160.6152127950536320.692393602473184
200.459276759927250.9185535198545010.54072324007275
210.392045114608030.7840902292160610.60795488539197
220.4219427104742920.8438854209485830.578057289525708
230.3481688764685220.6963377529370440.651831123531478
240.327728144154790.6554562883095810.67227185584521
250.3299191254844250.6598382509688490.670080874515576
260.2898255235424030.5796510470848070.710174476457597
270.2857640549873480.5715281099746960.714235945012652
280.2808799509414520.5617599018829040.719120049058548
290.2685325461616880.5370650923233760.731467453838312
300.2418659113799460.4837318227598920.758134088620054
310.1893158926503760.3786317853007520.810684107349624
320.1478233471423670.2956466942847330.852176652857633
330.1172852714706350.2345705429412710.882714728529365
340.1701658890567580.3403317781135150.829834110943242
350.1317122367578760.2634244735157510.868287763242124
360.1240652906624520.2481305813249030.875934709337548
370.1660721129767140.3321442259534270.833927887023286
380.1508301964700060.3016603929400120.849169803529994
390.1355568093368940.2711136186737890.864443190663106
400.148861450984720.2977229019694410.85113854901528
410.1709072871428690.3418145742857380.829092712857131
420.1364391884607950.2728783769215890.863560811539205
430.1239680903328630.2479361806657260.876031909667137
440.09184358474521450.1836871694904290.908156415254785
450.1754708810224320.3509417620448630.824529118977568
460.1425039428817750.2850078857635510.857496057118225
470.2117706787549190.4235413575098380.788229321245081
480.2307755293663480.4615510587326950.769224470633652
490.1978253951857720.3956507903715430.802174604814228
500.1544790979385030.3089581958770070.845520902061497
510.1872306588702660.3744613177405320.812769341129734
520.1430264391566390.2860528783132790.856973560843361
530.1048838709218250.209767741843650.895116129078175
540.09177621581490970.1835524316298190.90822378418509
550.08447581134526470.1689516226905290.915524188654735
560.06152140964838850.1230428192967770.938478590351612
570.05847382075722020.116947641514440.94152617924278
580.05950302258548010.119006045170960.94049697741452
590.04556208327894820.09112416655789640.954437916721052
600.05905910378789310.1181182075757860.940940896212107
610.08835565423078450.1767113084615690.911644345769215
620.09171217446363790.1834243489272760.908287825536362
630.05933980158284770.1186796031656950.940660198417152
640.1411563580826130.2823127161652260.858843641917387
650.2211683426968790.4423366853937590.778831657303121
660.1571346160234130.3142692320468260.842865383976587
670.09266160969055910.1853232193811180.907338390309441
680.1316352407805210.2632704815610420.868364759219479


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 level10.0161290322580645OK