Multiple Linear Regression - Estimated Regression Equation
Duurzame-consumptiegoederen[t] = + 0.125719048260087 -0.484978620979913Investeringsgoederen[t] + 14.4196257715794Consumptiegoederen[t] -1.01895375373591`Intermediaire-goederen`[t] + 1.49938476771017`Intermediaire-en-investeringsgoederen`[t] -13.4090060352006`Niet-duurzame-consumptiegoederen`[t] -0.0114596547763776Energie[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1257190482600873.0117230.04170.9668470.483423
Investeringsgoederen-0.4849786209799130.319478-1.5180.1344380.067219
Consumptiegoederen14.41962577157940.216466.634200
`Intermediaire-goederen`-1.018953753735910.710152-1.43480.1567040.078352
`Intermediaire-en-investeringsgoederen`1.499384767710171.0290551.45710.1504950.075248
`Niet-duurzame-consumptiegoederen`-13.40900603520060.205874-65.13200
Energie-0.01145965477637760.024841-0.46130.6462980.323149


Multiple Linear Regression - Regression Statistics
Multiple R0.998059516748956
R-squared0.99612279897316
Adjusted R-squared0.995721709211763
F-TEST (value)2483.54083012027
F-TEST (DF numerator)6
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.842315702019236
Sum Squared Residuals41.1507530283532


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19594.04104106195120.958958938048764
2101.4100.3635932311851.03640676881539
3112.8111.894122392090.905877607910376
476.476.8128211284014-0.412821128401386
593.592.81123134935660.688768650643386
6117.6116.5146210123271.085378987673
7118.6117.6965969617270.90340303827285
8110.1110.547198281994-0.447198281994492
9113.1113.0460206257560.0539793742436232
1091.292.4837674614124-1.28376746141236
11106.2105.681592743310.518407256689926
12115.5114.1815334626581.31846653734224
13106.2106.408711519005-0.20871151900504
1495.996.5788312763135-0.678831276313486
15113.2113.563099556352-0.36309955635248
1678.380.6664888464388-2.36648884643881
1779.881.4197678030719-1.61976780307188
18121.2121.1881500531310.0118499468688879
19125.6124.5946450076611.00535499233896
2097.296.90578418416960.294215815830384
21102.8103.011528719343-0.211528719343021
2288.889.4715461905438-0.671546190543805
2395.394.95533588540110.344664114598859
24107.6108.094640815788-0.494640815788393
259594.37144318840420.628556811595818
2687.587.48367140015620.0163285998437637
27106.7106.843852821364-0.143852821363867
2875.875.45803080454340.341969195456633
298080.1847121096392-0.184712109639155
30117.2118.104166075491-0.90416607549075
31106.6105.9944974021290.60550259787092
32104.7104.0346409901260.665359009874096
3395.294.86250233179150.337497668208465
349495.1250318938116-1.12503189381156
3595.794.53376814861561.16623185138445
36112.6113.321581281562-0.721581281562491
3799.198.39404832236670.705951677633328
3891.690.68198817225180.918011827748142
39111.5111.3822583528260.117741647173804
4076.675.70087018790870.899129812091256
4183.483.8569340307002-0.456934030700225
42113.5113.850640174107-0.350640174106527
43106.4106.0832055703360.316794429664034
44104.1104.173827921577-0.0738279215765318
45108.4108.1218775432330.278122456767321
469190.70257102699510.29742897300485
47108.3108.876996934224-0.576996934223771
48121121.175250040509-0.175250040509293
4995.494.59168056738080.808319432619168
50109.9110.214657657863-0.31465765786308
51101.4100.3051889697691.09481103023053
528685.61358733472910.386412665270878
5396.596.28618880990780.21381119009218
54124.6126.420472079665-1.82047207966452
55109.3108.46103099550.838969004499834
56104.5105.138884696436-0.638884696436174
57101.8101.1366858973580.663314102642127
58101.5102.583548949628-1.08354894962831
59103.4104.271487482381-0.871487482380601
60125.9126.31231535779-0.412315357790015
6196.898.0877090958087-1.28770909580874
62104.4105.113209454231-0.713209454231033
63121.1121.821958584187-0.721958584186537
6483.783.57704271168440.122957288315592
6591.590.71331506162550.786684938374489


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4453991168920960.8907982337841930.554600883107903
110.2876469907692910.5752939815385820.712353009230709
120.201656893099080.403313786198160.79834310690092
130.222810542864020.445621085728040.77718945713598
140.1893084702933310.3786169405866610.810691529706669
150.2350440580176510.4700881160353030.764955941982349
160.333583237895780.6671664757915610.66641676210422
170.4525355568311080.9050711136622160.547464443168892
180.585383337982930.829233324034140.41461666201707
190.6767380038973560.6465239922052870.323261996102644
200.6067746480465490.7864507039069020.393225351953451
210.5615432727718260.8769134544563480.438456727228174
220.5122644505891860.9754710988216270.487735549410814
230.4467599549627990.8935199099255970.553240045037201
240.4738842842315850.9477685684631710.526115715768415
250.47194726533270.9438945306654010.5280527346673
260.4379842084833010.8759684169666030.562015791516699
270.4336640988519010.8673281977038010.566335901148099
280.757376582218840.485246835562320.24262341778116
290.7287177159700830.5425645680598340.271282284029917
300.8082275539281090.3835448921437810.191772446071891
310.8406822211220820.3186355577558370.159317778877918
320.9130279940646570.1739440118706870.0869720059353433
330.8849537579727840.2300924840544320.115046242027216
340.8568093247285420.2863813505429160.143190675271458
350.9391791965260240.1216416069479530.0608208034739763
360.9163521892075090.1672956215849820.0836478107924909
370.9381261482560480.1237477034879050.0618738517439524
380.9741853286625050.05162934267498940.0258146713374947
390.9654360244424850.06912795111503020.0345639755575151
400.9738514703392090.05229705932158090.0261485296607905
410.9822182796745710.03556344065085770.0177817203254288
420.9715912491455880.05681750170882450.0284087508544122
430.9651795361392530.06964092772149340.0348204638607467
440.9425279386576560.1149441226846880.0574720613423439
450.9086911834983030.1826176330033930.0913088165016966
460.8707631048731020.2584737902537950.129236895126898
470.8269526049604450.3460947900791090.173047395039555
480.8041391343092430.3917217313815130.195860865690757
490.7412227269131070.5175545461737870.258777273086893
500.6595888003949120.6808223992101770.340411199605089
510.6681463657513340.6637072684973320.331853634248666
520.5506878381415240.8986243237169520.449312161858476
530.4255531536345520.8511063072691030.574446846365448
540.7212293981016660.5575412037966680.278770601898334
550.7690658783602190.4618682432795620.230934121639781


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0217391304347826OK
10% type I error level60.130434782608696NOK