Multiple Linear Regression - Estimated Regression Equation
verkeersongevallen[t] = + 3889.45084171545 + 2.17308317017715`auto-inschrijvingen`[t] + 14.7835594758766verkeersdoden[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3889.45084171545622.8972436.244100
`auto-inschrijvingen`2.173083170177153.4540290.62910.5317680.265884
verkeersdoden14.78355947587664.4532083.31980.0015750.000788


Multiple Linear Regression - Regression Statistics
Multiple R0.404441382489583
R-squared0.163572831870085
Adjusted R-squared0.134224510181316
F-TEST (value)5.57349866901184
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0.00615462684554358
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation553.630123409475
Sum Squared Residuals17470859.8721443


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
151245598.7488807922-474.748880792199
247425756.9826038511-1014.9826038511
354345719.61164455859-285.611644558594
456845899.82857564365-215.828575643655
563325900.7393961686431.260603831395
663346020.53532543677313.464674563232
756366158.43370953496-522.43370953496
859405635.54382370628304.456176293717
961956155.234856439339.7651435607026
1060225861.75848092364160.241519076356
1145355707.51461323435-1172.51461323435
1243205489.33609224946-1169.33609224946
1348725604.09459072167-732.094590721672
1446625242.68081738012-580.680817380125
1546635353.42368216133-690.42368216133
1654915529.10966016741-38.1096601674089
1760185608.15391008356409.846089916437
1863936011.33876279142381.661237208583
1956105630.48046525061-20.4804652506087
2057775262.12796267752514.872037322476
2160945595.15460122872498.845398771276
2264785580.18640435254897.813595647455
2352165293.56835399113-77.5683539911317
2452015247.09487198288-46.0948719828848
2547845243.44986481488-459.449864814883
2642055473.72189231845-1268.72189231845
2746815507.94997599359-826.949975993587
2848965414.35078834939-518.350788349394
2957525392.66341831103359.336581688974
3064525464.99471563786987.005284362143
3159955574.31675737157420.683242628427
3256015279.64533545065321.354664549355
3361195902.05635923889216.943640761106
3465695581.54675441708987.453245582925
3557985428.90864585222369.091354147782
3654925566.02472000915-74.0247200091459
3750185299.07030190137-281.070301901374
3847735276.15731295503-503.157312955027
3955025545.52505576577-43.5250557657656
4059085583.48274751422324.517252485781
4159025472.72002630784429.279973692164
4261255535.79833549605589.201664503947
4354195668.4007665702-249.4007665702
4455595437.97257575503121.027424244973
4559625289.66354754181672.336452458192
4660235571.77634847647451.223651523526
4753465600.36363092596-254.363630925962
4853795479.72896622327-100.728966223272
4948595239.57315910845-380.573159108448
5051565296.87541323033-140.875413230334
5150105325.22777868996-315.227778689958
5255085257.06198312371250.938016876289
5364265413.722767313211012.27723268679
5460435453.26209026375589.737909736253
5554995640.90467054879-141.904670548787
5651915449.39010406946-258.39010406946
5757905190.29625047235599.70374952765
5859495379.95515326267569.044846737332
5952195262.63668814683-43.6366881468302
6047295051.12301324488-322.123013244879


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.4894215126981250.978843025396250.510578487301875
70.5923764007418680.8152471985162640.407623599258132
80.6359460784812420.7281078430375170.364053921518758
90.5089158249733140.9821683500533730.491084175026686
100.4116996924298060.8233993848596110.588300307570194
110.6211485792276960.7577028415446090.378851420772304
120.655522464903470.688955070193060.34447753509653
130.6280678293619470.7438643412761070.371932170638053
140.5753936880985390.8492126238029220.424606311901461
150.5240200412569510.9519599174860980.475979958743049
160.4712534020950360.9425068041900720.528746597904964
170.5494273549343940.9011452901312110.450572645065606
180.4753298089155080.9506596178310160.524670191084492
190.4452909017518640.8905818035037290.554709098248136
200.6431608999375040.7136782001249920.356839100062496
210.6787632759316640.6424734481366720.321236724068336
220.8225979986720750.3548040026558510.177402001327925
230.7718029021643720.4563941956712560.228197097835628
240.7191783445264140.5616433109471710.280821655473586
250.6794809318302540.6410381363394910.320519068169746
260.8941449388835460.2117101222329070.105855061116454
270.9395382925631580.1209234148736850.0604617074368424
280.9450400788983220.1099198422033560.0549599211016781
290.938536340302590.1229273193948190.0614636596974096
300.9784177873226260.04316442535474810.0215822126773741
310.9727449897899580.05451002042008390.027255010210042
320.9648422196563450.070315560687310.035157780343655
330.9483540192421540.1032919615156920.0516459807578459
340.9789202299246060.04215954015078810.021079770075394
350.9721733652741390.05565326945172270.0278266347258614
360.956836103397970.08632779320406140.0431638966020307
370.9465804667378530.1068390665242940.0534195332621469
380.9541008770774110.09179824584517740.0458991229225887
390.9393358393019240.1213283213961510.0606641606980757
400.9151907118771550.1696185762456910.0848092881228454
410.8910010548169990.2179978903660020.108998945183001
420.8796342749137680.2407314501724630.120365725086232
430.8555483215926540.2889033568146920.144451678407346
440.7962115248255610.4075769503488780.203788475174439
450.856588363914070.2868232721718590.14341163608593
460.8195954140759210.3608091718481580.180404585924079
470.7679777714394520.4640444571210970.232022228560548
480.6787884289412550.6424231421174890.321211571058745
490.6849964466909130.6300071066181740.315003553309087
500.656388539845310.6872229203093810.343611460154691
510.7784159741628420.4431680516743160.221584025837158
520.9567476222888360.08650475542232880.0432523777111644
530.9780572266720440.04388554665591130.0219427733279557
540.9590563239773520.08188735204529680.0409436760226484


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0612244897959184NOK
10% type I error level100.204081632653061NOK