Multiple Linear Regression - Estimated Regression Equation
Inschrijvingen_met_transit[t] = + 45154.1899984168 + 331.286415273221Consumentenvertrouwen[t] + 33.1752327449542Evolutie_consumentenvertrouwen[t] -524.465533822917Totaal_Werkloosheid[t] + 549.593645272708`Algemene_index `[t] + 68.6401600734777t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)45154.189998416817817.6222362.53420.0131480.006574
Consumentenvertrouwen331.286415273221189.5656321.74760.084230.042115
Evolutie_consumentenvertrouwen33.1752327449542329.5679530.10070.9200610.46003
Totaal_Werkloosheid-524.4655338229172011.101885-0.26080.7949040.397452
`Algemene_index `549.593645272708844.6817170.65070.5170680.258534
t68.640160073477750.6114961.35620.1787080.089354


Multiple Linear Regression - Regression Statistics
Multiple R0.242329991256108
R-squared0.0587238246621852
Adjusted R-squared0.00202044060569018
F-TEST (value)1.03563174648760
F-TEST (DF numerator)5
F-TEST (DF denominator)83
p-value0.402276300608291
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10405.2880891738
Sum Squared Residuals8986411678.15228


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15055638547.700864628212008.2991353718
24390137751.13967060746149.86032939265
34857236356.375458351512215.6245416485
44389938233.48619219865665.51380780141
53753239013.1181840538-1481.11818405380
64035739179.75381425261177.24618574745
73548937898.7999557930-2409.79995579296
82902738576.5683228876-9549.56832288763
93448540500.2260436206-6015.22604362062
104259837676.88704582664921.1129541734
113030640261.6536147868-9955.65361478676
122645140414.0590337457-13963.0590337457
134746041164.73371672986295.26628327017
145010441816.69039989528287.30960010482
156146541507.772698259019957.2273017410
165372642071.198553590811654.8014464092
173947742052.4963277005-2575.49632770051
184389543573.6819171073321.318082892708
193148141969.6363607126-10488.6363607126
202989642129.6464588968-12233.6464588968
213384242154.7183554057-8312.71835540565
223912041840.2273864052-2720.22738640525
233370241575.4101063003-7873.41010630029
242509441691.661569193-16597.6615691930
255144241688.58385524689753.41614475318
264559442763.98910310462830.01089689538
275251843557.50951995998960.49048004012
284856442757.45293175865806.54706824143
294174540825.4687582281919.531241771939
304958541019.78808670558565.21191329452
313274740831.2211021575-8084.22110215746
323337941145.5258913769-7766.52589137691
333564540109.8559186095-4464.85591860955
343703441554.6397979465-4520.6397979465
353568141631.626089871-5950.626089871
362097242971.9672875121-21999.9672875121
375855244095.981908332114456.0180916679
385495543889.293087802611065.7069121974
396554042698.155469237722841.8445307623
405157043182.70576056878387.29423943134
415114542903.11062414978241.88937585031
424664144090.30661541142550.69338458861
433570444021.8765061183-8317.87650611829
443325344142.9632195741-10889.9632195741
453519343991.7659215384-8798.76592153845
464166845305.2973651073-3637.29736510729
473486545425.8519205964-10560.8519205964
482121042833.2755696978-21623.2755696978
495612644692.629723909511433.3702760905
504923145644.67824278153586.32175721849
515972345235.893056670714487.1069433293
524810346080.06974545672022.93025454327
534747246130.77844127561341.22155872441
545049746163.54018573234333.45981426774
554005945500.4024523846-5441.40245238465
563414945144.5959776227-10995.5959776227
573686045557.2380232072-8697.2380232072
584635646308.704917499847.2950825001558
593657744708.4575843113-8131.4575843113
602387245742.3414675731-21870.3414675731
615727645514.851098296711761.1489017033
625638946571.32681175699817.6731882431
635765747336.507246430310320.4927535697
646230046312.570160865315987.4298391347
654892946359.2203303222569.77966967797
665116845885.25763348355282.74236651648
673963644716.9256869503-5080.92568695033
683321344935.7478171895-11722.7478171895
693812745931.7063858659-7804.70638586585
704329143556.8119552787-265.811955278683
713060041147.4841684617-10547.4841684617
722195639723.7781344424-17767.7781344424
734803340598.99798828227434.00201171778
744614839263.89246371146884.10753628856
755073638485.359953950612250.6400460494
764811439307.56213922758806.43786077254
773839039997.0788806321-1607.07888063211
784411240026.19381639554085.80618360447
793628739729.2383309026-3442.23833090257
803033342009.4619928715-11676.4619928715
813590842162.2091980702-6254.20919807015
824000542147.5500114345-2142.55001143449
833526343273.871584565-8010.87158456498
842659141928.3575420670-15337.3575420670
854970941838.65997185067870.3400281494
864784041909.8129430695930.18705693094
876478143229.162220236421551.8377797636
885780245014.561229732912787.4387702671
894815444190.65812367313963.34187632693


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.08835282285817430.1767056457163490.911647177141826
100.1268704705718070.2537409411436140.873129529428193
110.06315865901766540.1263173180353310.936841340982335
120.03363222030947310.06726444061894610.966367779690527
130.1734463780517870.3468927561035730.826553621948213
140.1882351737138610.3764703474277220.811764826286139
150.3315009431261400.6630018862522790.66849905687386
160.341248433746350.68249686749270.65875156625365
170.2611078239449340.5222156478898690.738892176055066
180.1944542696570150.388908539314030.805545730342985
190.1610902245674890.3221804491349770.838909775432511
200.1197884406121030.2395768812242060.880211559387897
210.08416882210852180.1683376442170440.915831177891478
220.08182032037630460.1636406407526090.918179679623695
230.05531426142907120.1106285228581420.944685738570929
240.0521152604216610.1042305208433220.947884739578339
250.1327383790339280.2654767580678560.867261620966072
260.1475742259118840.2951484518237680.852425774088116
270.2336330107923230.4672660215846450.766366989207677
280.2027211486187480.4054422972374960.797278851381252
290.1593883312689780.3187766625379570.840611668731022
300.1687722436096760.3375444872193530.831227756390324
310.1323198097791520.2646396195583030.867680190220848
320.1018319201458840.2036638402917670.898168079854116
330.07427747137723440.1485549427544690.925722528622766
340.05421745487369760.1084349097473950.945782545126302
350.04343673954866170.08687347909732330.956563260451338
360.1176512522618380.2353025045236770.882348747738162
370.1808734790387720.3617469580775450.819126520961228
380.1629221111329460.3258442222658920.837077888867054
390.2441363590320470.4882727180640940.755863640967953
400.2177776660898570.4355553321797150.782222333910143
410.2149040716271460.4298081432542930.785095928372854
420.2002009021358800.4004018042717610.79979909786412
430.2951580561340250.5903161122680510.704841943865975
440.3687238124491190.7374476248982370.631276187550881
450.3832237942861240.7664475885722480.616776205713876
460.3348301426675660.6696602853351330.665169857332434
470.3466812667769450.6933625335538890.653318733223055
480.5158683371162470.9682633257675070.484131662883753
490.5419340356181850.916131928763630.458065964381815
500.4848267514084010.9696535028168030.515173248591599
510.5620012421095860.8759975157808280.437998757890414
520.5053983503610210.9892032992779580.494601649638979
530.4538982190694150.907796438138830.546101780930585
540.4291874435990570.8583748871981140.570812556400943
550.3790662444056080.7581324888112170.620933755594392
560.3481612860830630.6963225721661260.651838713916937
570.3028979185726410.6057958371452810.69710208142736
580.2499382154365110.4998764308730230.750061784563489
590.2040947445424780.4081894890849560.795905255457522
600.3696405722262730.7392811444525460.630359427773727
610.4119020227424570.8238040454849140.588097977257543
620.4059473118203550.8118946236407110.594052688179645
630.4161022280902550.832204456180510.583897771909745
640.7014290350857760.5971419298284480.298570964914224
650.7254771754351130.5490456491297750.274522824564887
660.8338455733687040.3323088532625930.166154426631296
670.7839663932575450.4320672134849090.216033606742455
680.7602169292327710.4795661415344580.239783070767229
690.7100333685409210.5799332629181580.289966631459079
700.8146512620526270.3706974758947460.185348737947373
710.7828096680189570.4343806639620860.217190331981043
720.9115840428086870.1768319143826260.0884159571913132
730.8967520902105720.2064958195788550.103247909789428
740.8645206592179740.2709586815640530.135479340782026
750.8720208692819630.2559582614360730.127979130718037
760.9255021237856460.1489957524287090.0744978762143544
770.8654733304385120.2690533391229770.134526669561488
780.8010834229337280.3978331541325440.198916577066272
790.6750080309351370.6499839381297260.324991969064863
800.5823980042449760.8352039915100490.417601995755024


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 level20.0277777777777778OK