Multiple Linear Regression - Estimated Regression Equation
Grondstoffen[t] = + 60.7773809523809 -2.15166170634922M1[t] -1.4625496031746M2[t] + 4.65513392857143M3[t] + 9.87281746031746M4[t] + 9.97621527777778M5[t] + 13.736755952381M6[t] + 15.0830109126984M7[t] + 11.3864087301587M8[t] + 7.06123511904762M9[t] + 2.66463293650794M10[t] + 2.02517361111111M11[t] + 0.668030753968254t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)60.777380952380910.2256455.943600
M1-2.1516617063492212.578496-0.17110.8646640.432332
M2-1.462549603174612.569021-0.11640.9076950.453847
M34.6551339285714312.5604430.37060.7120250.356013
M49.8728174603174612.5527620.78650.4341890.217094
M59.9762152777777812.5459820.79520.4291640.214582
M613.73675595238112.5401021.09540.2770320.138516
M715.083010912698412.5351251.20330.2328730.116436
M811.386408730158712.5310510.90870.3666060.183303
M97.0612351190476212.5278820.56360.5747740.287387
M102.6646329365079412.5256170.21270.8321440.416072
M112.0251736111111112.5242590.16170.8720010.436001
t0.6680307539682540.1065176.271600


Multiple Linear Regression - Regression Statistics
Multiple R0.624523481847631
R-squared0.390029579379088
Adjusted R-squared0.286935987161469
F-TEST (value)3.78325724217447
F-TEST (DF numerator)12
F-TEST (DF denominator)71
p-value0.000190169002201479
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.4298949946451
Sum Squared Residuals38976.1585416667


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
154.359.2937500000001-4.99375000000008
255.960.6508928571429-4.75089285714286
363.967.4366071428572-3.53660714285715
46473.3223214285714-9.32232142857142
560.774.09375-13.39375
667.878.5223214285714-10.7223214285714
770.580.5366071428571-10.0366071428571
876.677.5080357142857-0.908035714285717
976.273.85089285714292.34910714285715
1071.870.12232142857141.67767857142857
1167.870.1508928571428-2.35089285714286
1269.768.793750.90625000000001
1376.767.3101190476199.38988095238099
1474.268.66726190476195.53273809523811
1575.875.45297619047620.347023809523805
1684.381.33869047619052.96130952380952
1784.982.11011904761912.78988095238095
1884.486.5386904761905-2.13869047619047
1989.488.55297619047620.847023809523821
2088.585.52440476190482.97559523809524
2176.581.8672619047619-5.36726190476191
2271.478.1386904761905-6.73869047619047
2372.178.1672619047619-6.06726190476191
2475.876.8101190476191-1.01011904761905
2566.675.3264880952381-8.7264880952381
2671.776.683630952381-4.98363095238095
2775.483.4693452380952-8.06934523809524
2880.989.3550595238095-8.45505952380952
2980.790.1264880952381-9.4264880952381
308594.5550595238095-9.55505952380953
3191.596.5693452380952-5.06934523809524
3287.793.5407738095238-5.84077380952381
3395.389.8836309523815.41636904761904
34102.486.155059523809516.2449404761905
35114.286.18363095238128.0163690476191
36111.784.826488095238126.8735119047619
37113.783.342857142857130.3571428571429
38118.884.734.1
3912991.485714285714337.5142857142857
40136.497.371428571428639.0285714285714
4115598.142857142857156.8571428571429
42166102.57142857142963.4285714285714
43168.7104.58571428571464.1142857142857
44145.5101.55714285714343.9428571428572
45127.397.929.4
4691.594.1714285714286-2.67142857142857
476994.2-25.2
485492.8428571428571-38.8428571428571
4956.391.3592261904762-35.0592261904762
5054.292.7163690476191-38.5163690476191
5159.399.5020833333333-40.2020833333333
5263.4105.387797619048-41.9877976190476
5373.3106.159226190476-32.8592261904762
5486.7110.587797619048-23.8877976190476
5581.3112.602083333333-31.3020833333333
5689.6109.573511904762-19.9735119047619
5785.3105.916369047619-20.616369047619
5892.4102.187797619048-9.78779761904761
5996.8102.216369047619-5.41636904761905
6093.6100.859226190476-7.2592261904762
6197.699.3755952380952-1.77559523809523
6294.2100.732738095238-6.5327380952381
6399.9107.518452380952-7.61845238095238
64106.4113.404166666667-7.00416666666666
6596114.175595238095-18.1755952380953
6694.9118.604166666667-23.7041666666667
6794.8120.618452380952-25.8184523809524
6895.9117.589880952381-21.6898809523809
6996.2113.932738095238-17.7327380952381
70103.1110.204166666667-7.10416666666668
71106.9110.232738095238-3.33273809523809
72114.2108.8755952380955.32440476190475
73118.2107.39196428571410.8080357142857
74123.9108.74910714285715.1508928571429
75137.1115.53482142857121.5651785714286
76146.2121.42053571428624.7794642857143
77136.4122.19196428571414.2080357142857
78133.2126.6205357142866.57946428571428
79135.9128.6348214285717.26517857142858
80127.1125.606251.49375
81128.5121.9491071428576.55089285714286
82126.6118.2205357142868.37946428571428
83132.6118.24910714285714.3508928571429
84130.9116.89196428571414.0080357142857


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.002502426084207540.005004852168415080.997497573915792
170.000519419480756120.001038838961512240.999480580519244
186.58011143998559e-050.0001316022287997120.9999341988856
196.60071054714179e-061.32014210942836e-050.999993399289453
202.19957594049834e-064.39915188099667e-060.99999780042406
211.70183268880534e-053.40366537761068e-050.999982981673112
222.10760695694639e-054.21521391389278e-050.999978923930431
237.96480671929214e-061.59296134385843e-050.999992035193281
242.25217594326257e-064.50435188652515e-060.999997747824057
253.59865483310239e-067.19730966620478e-060.999996401345167
261.30371856602545e-062.6074371320509e-060.999998696281434
274.66653137148911e-079.33306274297823e-070.999999533346863
281.37577344132994e-072.75154688265989e-070.999999862422656
293.62926966658067e-087.25853933316135e-080.999999963707303
308.93171236540071e-091.78634247308014e-080.999999991068288
311.95039408225205e-093.9007881645041e-090.999999998049606
325.54942398845914e-101.10988479769183e-090.999999999445058
331.78558575669833e-103.57117151339666e-100.999999999821441
344.51575387992268e-109.03150775984535e-100.999999999548425
351.28399137684789e-082.56798275369577e-080.999999987160086
362.96323895611249e-085.92647791222498e-080.99999997036761
378.81570932785313e-081.76314186557063e-070.999999911842907
382.62733308173436e-075.25466616346872e-070.999999737266692
391.03832616798638e-062.07665233597276e-060.999998961673832
403.63357911766801e-067.26715823533603e-060.999996366420882
410.0001437238166862340.0002874476333724670.999856276183314
420.006099729937543230.01219945987508650.993900270062457
430.1534105130147650.306821026029530.846589486985235
440.6109392722659050.7781214554681910.389060727734095
450.9789984181207470.0420031637585060.021001581879253
460.9978839535071720.004232092985655540.00211604649282777
470.9993908222629710.001218355474058780.000609177737029389
480.9998425966408190.0003148067183628460.000157403359181423
490.9999428187551090.000114362489782235.7181244891115e-05
500.99997929242294.14151541994726e-052.07075770997363e-05
510.9999946805097711.06389804579952e-055.3194902289976e-06
520.9999995542298068.91540387795779e-074.45770193897889e-07
530.9999993394718371.321056325627e-066.60528162813498e-07
540.9999985943475042.81130499134218e-061.40565249567109e-06
550.9999966500392226.69992155632732e-063.34996077816366e-06
560.9999953373856959.32522861042911e-064.66261430521456e-06
570.9999903197588721.93604822553305e-059.68024112766524e-06
580.9999899868545182.00262909647974e-051.00131454823987e-05
590.9999947956663091.04086673812253e-055.20433369061264e-06
600.999997002022895.99595421975359e-062.99797710987679e-06
610.9999941128114871.17743770263006e-055.88718851315031e-06
620.9999728564516595.42870966825496e-052.71435483412748e-05
630.9998917273145050.0002165453709894440.000108272685494722
640.9996768732500940.000646253499812820.00032312674990641
650.9992218500580920.001556299883814990.000778149941907494
660.9979739434785050.00405211304299010.00202605652149505
670.9980634390089110.003873121982177190.0019365609910886
680.9919512873166240.01609742536675110.00804871268337556


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level480.905660377358491NOK
5% type I error level510.962264150943396NOK
10% type I error level510.962264150943396NOK