Multiple Linear Regression - Estimated Regression Equation
KansOverwinning[t] = + 3.1669540137257 -0.0364824329886247GeboekteOverwinning[t] + 0.142677588756209Gevoel[t] + 0.403677872812312EigenGevoel[t] + 0.522701285058165Beste[t] -0.0971236960285132`2deBeste`[t] + 0.0482753220205221`3debeste`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.16695401372572.2278521.42150.158910.079455
GeboekteOverwinning-0.03648243298862470.125084-0.29170.7712720.385636
Gevoel0.1426775887562090.0930111.5340.1288380.064419
EigenGevoel0.4036778728123120.1444252.79510.0064440.003222
Beste0.5227012850581650.2469492.11660.0372850.018643
`2deBeste`-0.09712369602851320.05552-1.74930.0839280.041964
`3debeste`0.04827532202052210.0726450.66450.5081910.254096


Multiple Linear Regression - Regression Statistics
Multiple R0.641149746228267
R-squared0.411072997088571
Adjusted R-squared0.368499960733528
F-TEST (value)9.65571244814151
F-TEST (DF numerator)6
F-TEST (DF denominator)83
p-value4.79153297039403e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.25053991365421
Sum Squared Residuals420.38918194491


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11311.31069133316311.68930866683689
21211.48766242972280.512337570277194
31514.44666862641610.553331373583867
41211.47461270018740.525387299812597
5109.582344339147620.417655660852379
6129.264886899846352.73511310015365
71516.3733413180769-1.37334131807693
8910.6821888093497-1.68218880934969
91212.0781594279902-0.0781594279902341
10119.088395577802761.91160442219724
111113.4694737624949-2.46947376249486
121112.4232133923513-1.42321339235134
131511.90705820114453.09294179885553
14710.9624781168589-3.96247811685887
151111.7458728860395-0.745872886039522
161110.67617289877660.323827101223434
171011.8393251122053-1.83932511220532
181414.9813257697953-0.981325769795295
19109.388880463709380.611119536290625
20610.0947734206128-4.09477342061277
21119.109338716529871.89066128347013
221514.47491837307970.525081626920283
231110.43716804932390.562831950676131
241210.40227649042291.59772350957708
251412.86370781802541.1362921819746
261514.20175860291890.798241397081118
27913.1607405214082-4.16074052140823
281313.0870099070964-0.0870099070964283
291312.36004213679080.639957863209243
301611.5140380355264.48596196447401
31139.163216508666963.83678349133304
321213.4626684503411-1.46266845034111
331413.8079914938870.19200850611304
341110.91607043257460.0839295674253545
35910.9729868454478-1.97298684544776
361613.36345900127742.63654099872265
371213.1996252819591-1.19962528195906
38109.618592997282110.381407002717894
391312.32016950413580.67983049586423
401614.48293944722991.51706055277008
411413.20650487876720.793495121232764
42159.025520610581035.97447938941897
4359.83201099179978-4.83201099179978
44811.3664471545461-3.36644715454606
451110.62250988867670.377490111323308
461613.78259084147472.21740915852531
471713.31506064093133.68493935906874
4898.549477096174910.450522903825087
49910.6868481513166-1.68684815131656
501313.5858284750395-0.585828475039473
511010.4162735441827-0.416273544182717
52612.3589006594487-6.35890065944873
531212.655151945642-0.655151945642043
54811.4488604688448-3.4488604688448
551411.92204522643772.07795477356232
561212.1371146291837-0.137114629183667
571110.99777210779060.00222789220944707
581613.9366523841082.06334761589204
59810.3206107364539-2.32061073645387
601515.141443350869-0.141443350869029
6179.99087971676111-2.99087971676111
621613.79626585575812.2037341442419
631413.28386746129040.716132538709576
641613.27349731979692.7265026802031
65910.5190088422624-1.51900884226243
661411.90910623343082.09089376656916
671112.9927776434012-1.99277764340124
681311.61716147644161.38283852355841
691512.53007731849252.46992268150754
7056.33783145913327-1.33783145913327
711512.47790714326472.52209285673533
721312.58782600165550.412173998344504
731112.6472265898779-1.64722658987791
741114.1655684823487-3.16556848234867
751212.5074938137591-0.507493813759083
761212.6194659479854-0.619465947985442
771211.02773523624010.972264763759903
781212.5406544455279-0.540654445527907
791411.32036369545642.67963630454357
8068.53547656332573-2.53547656332573
81710.1266615430231-3.12666154302311
821412.92574401183311.0742559881669
831414.2603465901232-0.260346590123241
841011.2941841530583-1.2941841530583
85139.222054436411493.77794556358851
861211.65472223187480.345277768125165
8799.2553700530783-0.255370053078304
881212.8066202545683-0.806620254568261
891615.190720946220.80927905378003
901011.0795166517158-1.07951665171576


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.06744272663703930.1348854532740790.932557273362961
110.08429937969049680.1685987593809940.915700620309503
120.03425461319869540.06850922639739080.965745386801305
130.3014717549819530.6029435099639050.698528245018047
140.6431783103426810.7136433793146370.356821689657319
150.5366477375746730.9267045248506540.463352262425327
160.4458550467941940.8917100935883870.554144953205806
170.3546035963789520.7092071927579030.645396403621048
180.2895003658494190.5790007316988370.710499634150581
190.2136928410803130.4273856821606250.786307158919687
200.4807198027809150.961439605561830.519280197219085
210.4148303932395170.8296607864790330.585169606760483
220.372836874753280.745673749506560.62716312524672
230.3057575598753150.6115151197506290.694242440124685
240.2554014306048350.510802861209670.744598569395165
250.2312450423134980.4624900846269960.768754957686502
260.1905274918896290.3810549837792580.809472508110371
270.2660560916967690.5321121833935390.733943908303231
280.207622207998020.415244415996040.79237779200198
290.1789538326939240.3579076653878480.821046167306076
300.2966273857580740.5932547715161490.703372614241926
310.3858027430051160.7716054860102320.614197256994884
320.3365347156410.6730694312819990.663465284359
330.2931770428648270.5863540857296530.706822957135173
340.2409014865122210.4818029730244410.759098513487779
350.2577131323032650.5154262646065290.742286867696735
360.2979486246083590.5958972492167180.702051375391641
370.2608241569506830.5216483139013650.739175843049317
380.2123249754095580.4246499508191170.787675024590442
390.174204235936070.3484084718721410.82579576406393
400.1553064274738110.3106128549476210.844693572526189
410.1213787920500730.2427575841001470.878621207949927
420.4336985652539540.8673971305079070.566301434746046
430.7352822693386290.5294354613227430.264717730661371
440.7980447181577830.4039105636844340.201955281842217
450.7535526640537260.4928946718925480.246447335946274
460.7487020099840520.5025959800318950.251297990015948
470.8183143416847780.3633713166304450.181685658315222
480.7743962383587580.4512075232824840.225603761641242
490.7488369026972610.5023261946054780.251163097302739
500.7167757879646520.5664484240706970.283224212035348
510.6679070221087140.6641859557825720.332092977891286
520.9370774063539270.1258451872921470.0629225936460733
530.9165138012784650.1669723974430690.0834861987215346
540.9464298755448820.1071402489102350.0535701244551176
550.9386893431739070.1226213136521860.0613106568260932
560.9148174318284790.1703651363430410.0851825681715206
570.8868237821815920.2263524356368150.113176217818408
580.8784606835087810.2430786329824380.121539316491219
590.8746888650378810.2506222699242390.125311134962119
600.8419080661802020.3161838676395950.158091933819798
610.8732528318016510.2534943363966980.126747168198349
620.8531826353311290.2936347293377410.146817364668871
630.8173735174429230.3652529651141540.182626482557077
640.8198546815252870.3602906369494250.180145318474713
650.779899475737110.440201048525780.22010052426289
660.7713737918291490.4572524163417020.228626208170851
670.7769276080888920.4461447838222150.223072391911108
680.7358696503141060.5282606993717880.264130349685894
690.7128184458767620.5743631082464760.287181554123238
700.6799591642875050.640081671424990.320040835712495
710.7305233882247380.5389532235505250.269476611775262
720.6502367190590380.6995265618819240.349763280940962
730.5879194544370820.8241610911258360.412080545562918
740.6037440745862340.7925118508275320.396255925413766
750.510186978485560.9796260430288810.48981302151444
760.4040637105012190.8081274210024380.595936289498781
770.4280172129038380.8560344258076760.571982787096162
780.312823354234530.625646708469060.68717664576547
790.2797916470042420.5595832940084850.720208352995758
800.1814574250286840.3629148500573680.818542574971316


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 level10.0140845070422535OK