Multiple Linear Regression - Estimated Regression Equation
Industriële_Productie[t] = + 94.3657986111111 -15.3487760416667Dummy_Crisis[t] + 0.149909784226187M1[t] + 1.12350508432540M2[t] + 10.6685289558532M3[t] + 4.28498139880953M4[t] + 2.25857669890873M5[t] + 11.5750291418651M6[t] -12.6085184151786M7[t] -3.6777802579365M8[t] + 11.8101007564484M9[t] + 14.6004284474206M10[t] + 6.81688089037698M11[t] + 0.183547557043651t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)94.36579861111111.71031755.174400
Dummy_Crisis-15.34877604166671.46798-10.455700
M10.1499097842261872.0529790.0730.9420070.471004
M21.123505084325402.0521140.54750.5858640.292932
M310.66852895585322.0514945.20042e-061e-06
M44.284981398809532.0511182.08910.0405010.02025
M52.258576698908732.0509871.10120.2747440.137372
M611.57502914186512.0511015.643300
M7-12.60851841517862.05146-6.146100
M8-3.67778025793652.052063-1.79220.077610.038805
M911.81010075644842.052915.752900
M1014.60042844742062.1286916.858900
M116.816880890376982.1283373.20290.0020830.001041
t0.1835475570436510.0224058.192200


Multiple Linear Regression - Regression Statistics
Multiple R0.931335595209805
R-squared0.867385990904802
Adjusted R-squared0.841654914513196
F-TEST (value)33.7096659970189
F-TEST (DF numerator)13
F-TEST (DF denominator)67
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.68618399710860
Sum Squared Residuals910.39281485615


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197.494.6992559523812.70074404761903
29795.85639880952381.14360119047618
3105.4105.584970238095-0.184970238095229
4102.799.38497023809523.31502976190477
598.197.54211309523810.557886904761897
6104.5107.042113095238-2.54211309523811
787.483.0421130952384.35788690476192
889.992.1563988095238-2.25639880952378
9109.8107.8278273809521.9721726190476
10111.7110.8017026289680.898297371031753
1198.6103.201702628968-4.60170262896828
1296.996.5683692956350.331630704365086
1395.196.9018266369048-1.80182663690476
149798.0589694940476-1.05896949404762
15112.7107.7875409226194.91245907738096
16102.9101.5875409226191.31245907738096
1797.499.7446837797619-2.3446837797619
18111.4109.2446837797622.1553162202381
1987.485.24468377976192.15531622023809
2096.894.35896949404762.44103050595237
21114.1110.0303980654764.06960193452381
22110.3113.004273313492-2.70427331349207
23103.9105.404273313492-1.50427331349206
24101.698.77093998015872.82906001984126
2594.699.1043973214286-4.50439732142857
2695.9100.261540178571-4.36154017857142
27104.7109.990111607143-5.29011160714285
28102.8103.790111607143-0.99011160714286
2998.1101.947254464286-3.84725446428572
30113.9111.4472544642862.45274553571429
3180.987.4472544642857-6.54725446428571
3295.796.5615401785714-0.861540178571431
33113.2112.232968750.967031250000007
34105.9115.206843998016-9.30684399801587
35108.8107.6068439980161.19315600198413
36102.3100.9735106646831.32648933531746
3799101.306968005952-2.30696800595238
38100.7102.464110863095-1.76411086309523
39115.5112.1926822916673.30731770833333
40100.7105.992682291667-5.29268229166666
41109.9104.1498251488105.75017485119048
42114.6113.6498251488100.950174851190468
4385.489.6498251488095-4.24982514880952
44100.598.76411086309521.73588913690476
45114.8114.4355394345240.364460565476192
46116.5117.409414682540-0.909414682539687
47112.9109.8094146825403.09058531746033
48102103.176081349206-1.17608134920635
49106103.5095386904762.49046130952381
50105.3104.6666815476190.633318452380951
51118.8114.3952529761904.40474702380952
52106.1108.195252976190-2.09525297619048
53109.3106.3523958333332.94760416666667
54117.2115.8523958333331.34760416666667
5592.591.85239583333330.647604166666663
56104.2100.9666815476193.23331845238095
57112.5116.638110119048-4.13811011904761
58122.4119.6119853670632.78801463293651
59113.3112.0119853670631.28801463293651
60100105.378652033730-5.37865203373016
61110.7105.7121093754.98789062500001
62112.8106.8692522321435.93074776785714
63109.8116.597823660714-6.79782366071429
64117.3110.3978236607146.90217633928571
65109.1108.5549665178570.545033482142853
66115.9118.054966517857-2.15496651785714
679694.05496651785721.94503348214285
6899.8103.169252232143-3.36925223214286
69116.8118.840680803571-2.04068080357143
70115.7106.4657800099219.23421999007937
7199.498.86578000992060.534219990079373
7294.392.23244667658732.06755332341270
739192.5659040178571-1.56590401785714
7493.293.723046875-0.523046874999994
75103.1103.451618303571-0.351618303571436
7694.197.2516183035714-3.15161830357143
7791.895.4087611607143-3.60876116071429
78102.7104.908761160714-2.20876116071428
7982.680.90876116071431.69123883928570
8089.190.023046875-0.923046875000009
81104.5105.694475446429-1.19447544642857


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.3790647884867930.7581295769735860.620935211513207
180.3926288455310400.7852576910620790.60737115446896
190.2757007980300480.5514015960600970.724299201969952
200.2723660113657910.5447320227315810.727633988634209
210.2109870524465530.4219741048931050.789012947553447
220.1735443803441190.3470887606882370.826455619655881
230.1306525045751800.2613050091503600.86934749542482
240.09789569938735960.1957913987747190.90210430061264
250.1193832117769150.2387664235538310.880616788223085
260.1083190309127230.2166380618254460.891680969087277
270.1556799975335550.311359995067110.844320002466445
280.1084299332484600.2168598664969200.89157006675154
290.07815855938861810.1563171187772360.921841440611382
300.08613730612279010.1722746122455800.91386269387721
310.1708070718438710.3416141436877430.829192928156129
320.1256093008451880.2512186016903760.874390699154812
330.09323531641645990.1864706328329200.90676468358354
340.2493060482832590.4986120965665170.750693951716741
350.2984445526700660.5968891053401320.701555447329934
360.2505644300774540.5011288601549090.749435569922546
370.22298260638340.44596521276680.7770173936166
380.2021488454391070.4042976908782140.797851154560893
390.2333030203952620.4666060407905240.766696979604738
400.2841020450538610.5682040901077210.71589795494614
410.4694370629387660.938874125877530.530562937061234
420.4032311586563920.8064623173127830.596768841343609
430.4410004290111850.8820008580223710.558999570988814
440.3896917360365390.7793834720730780.610308263963461
450.322494559820740.644989119641480.67750544017926
460.4189701294376230.8379402588752460.581029870562377
470.4044181650773270.8088363301546550.595581834922673
480.3345597260446290.6691194520892590.665440273955371
490.3044003797678750.608800759535750.695599620232125
500.2765914174132610.5531828348265230.723408582586739
510.3285246649462250.6570493298924490.671475335053775
520.3299078099589880.6598156199179760.670092190041012
530.2893935837051490.5787871674102990.71060641629485
540.2341133872466560.4682267744933120.765886612753344
550.1827878672406050.365575734481210.817212132759395
560.1971877152367350.3943754304734710.802812284763264
570.1671533429908540.3343066859817090.832846657009146
580.2210094130941850.4420188261883700.778990586905815
590.1534118037865980.3068236075731960.846588196213402
600.2793135276585270.5586270553170550.720686472341473
610.2752906936031070.5505813872062150.724709306396893
620.2910801034409910.5821602068819820.70891989655901
630.4479803279042010.8959606558084010.552019672095799
640.8438931520343880.3122136959312250.156106847965612


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