Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 9.37499683097009 + 0.122482864440576huwelijk[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.374996830970090.12063377.715100
huwelijk0.1224828644405760.0306064.00190.0001256.3e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.381537512253697
R-squared0.14557087325674
Adjusted R-squared0.136481201695641
F-TEST (value)16.0149761493855
F-TEST (DF numerator)1
F-TEST (DF denominator)94
p-value0.000125324935773441
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.476581915316111
Sum Squared Residuals21.3502502685990


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.7699.568397273921730.200602726078266
29.3219.63784505805956-0.316845058059564
39.9399.676549643222790.262450356777214
49.3369.82757101507802-0.491571015078015
510.1959.96671154908250.228288450917491
69.46410.003823857008-0.539823857008004
710.0110.1405147337237-0.130514733723687
810.21310.08049813014780.132501869852195
99.56310.1403922508592-0.577392250859245
109.899.732279346543250.157720653456753
119.3059.58823949796113-0.283239497961131
129.3919.6639339081854-0.272933908185407
139.9289.56006843913980.367931560860202
148.6869.62718904885323-0.941189048853234
159.8439.6977391787710.145260821228995
169.6279.72615520332122-0.0991552033212184
1710.0749.914288883101940.159711116898057
189.50310.0755988155702-0.572598815570181
1910.1199.926414686681560.192585313318440
201010.0791508186390-0.0791508186389581
219.31310.0642079091772-0.751207909177207
229.8669.723583063167970.142416936832033
239.1729.59081163811438-0.418811638114382
249.2419.67250770869625-0.431507708696247
259.6599.518179299501120.140820700498879
268.9049.63882492097509-0.734824920975089
279.7559.650460793096940.104539206903058
289.089.70410828772192-0.624108287721915
299.4359.90889963706656-0.473899637066557
308.97110.0341996073893-1.06319960738927
3110.0639.921147923510620.141852076489385
329.79310.1586421976609-0.365642197660893
339.4549.93792807593897-0.483928075938974
349.7599.745385013038390.0136149869616109
358.829.60612199616945-0.786121996169454
369.4039.62853636036208-0.225536360362080
379.6769.54047118082930.135528819170694
388.6429.64666382429929-1.00466382429929
399.4029.67642716035835-0.274427160358346
409.619.74587494449615-0.135874944496152
419.2949.9609548544538-0.666954854453802
429.4489.98434908156195-0.536349081561952
4310.3199.939275387447820.37972461255218
449.54810.1403922508592-0.592392250859246
459.8019.96401692606482-0.163016926064817
469.5969.76167523400899-0.165675234008986
478.9239.60893910205159-0.685939102051588
489.7469.64788865294370.0981113470563093
499.8299.570234516888370.258765483111634
509.1259.67716205754499-0.552162057544989
519.7829.647153755757050.134846244242952
529.4419.81679252300724-0.375792523007244
539.1629.94882905087418-0.786829050874185
549.9159.98275680432423-0.067756804324226
5510.44410.08172295879220.362277041207791
5610.20910.04620292810440.162797071895556
579.9859.98741115317297-0.00241115317296757
589.8429.770371517384270.0716284826157337
599.4299.61910517980016-0.190105179800156
6010.1329.655237624810130.476762375189874
619.8499.56851975678620.280480243213802
629.1729.63355815780414-0.461558157804143
6310.3139.643479269823830.66952073017617
649.8199.81605762582060.00294237417939925
659.9559.946379393585370.00862060641462593
6610.0489.972223277982340.0757767220176644
6710.08210.0869897219632-0.0049897219631542
6810.54110.05955356032850.481446439671534
6910.20810.02795298130280.180047018697203
7010.2339.751631639124860.481368360875142
719.4399.62020752558012-0.181207525580121
729.9639.657442316370060.305557683629943
7310.1589.559578507682040.598421492317963
749.2259.61898269693572-0.393982696935716
7510.4749.67961171483380.7943882851662
769.7579.8024620278677-0.0454620278676980
7710.499.944174702025440.545825297974556
7810.28110.06016597465070.220834025349332
7910.44410.06224818334620.381751816653842
8010.6410.08392765035210.55607234964786
8110.69510.13488052195940.56011947804058
8210.7869.744037701529541.04196229847046
839.8329.611511242204840.220488757795161
849.7479.687205652429120.059794347570884
8510.4119.559211059088710.851788940911285
869.5119.6309860176509-0.119986017650892
8710.4029.705945530688520.696054469311475
889.7019.73497396956094-0.03397396956094
8910.549.926169720952680.61383027904732
9010.11210.1353704534172-0.0233704534171824
9110.91510.16072440635640.754275593643618
9211.18310.06788239511041.11511760488957
9310.38410.10548463449370.278515365506318
9410.8349.762410131195631.07158986880437
959.8869.619595111257920.266404888742081
9610.2169.671650328645160.544349671354836


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.4518981365112760.9037962730225520.548101863488724
60.3850846406857390.7701692813714780.614915359314261
70.2687013383337550.537402676667510.731298661666245
80.2149034196070080.4298068392140150.785096580392992
90.1962729262028520.3925458524057050.803727073797148
100.1366442722218470.2732885444436950.863355727778153
110.1091445202367760.2182890404735510.890855479763224
120.0760104712418740.1520209424837480.923989528758126
130.07062697313589160.1412539462717830.929373026864108
140.2504224211694350.5008448423388690.749577578830565
150.2036228309292540.4072456618585080.796377169070746
160.1464969422037680.2929938844075350.853503057796232
170.1219995619395010.2439991238790010.8780004380605
180.1147360833887840.2294721667775670.885263916611216
190.1007904189315150.2015808378630310.899209581068485
200.0715579274386720.1431158548773440.928442072561328
210.09544891717123590.1908978343424720.904551082828764
220.0736471610870010.1472943221740020.926352838912999
230.06775411718893860.1355082343778770.932245882811061
240.05961077624038640.1192215524807730.940389223759614
250.04402225432686460.08804450865372930.955977745673135
260.06998219491639570.1399643898327910.930017805083604
270.05360957703227210.1072191540645440.946390422967728
280.06253354025866930.1250670805173390.93746645974133
290.05451405092207510.1090281018441500.945485949077925
300.1382215084532000.2764430169064000.8617784915468
310.1258153845595260.2516307691190520.874184615440474
320.1054625090529640.2109250181059290.894537490947036
330.09703076055514550.1940615211102910.902969239444855
340.07595577967315060.1519115593463010.92404422032685
350.1231030328096670.2462060656193350.876896967190333
360.09847951544750770.1969590308950150.901520484552492
370.08026816830508620.1605363366101720.919731831694914
380.2018201130423050.403640226084610.798179886957695
390.1746410521173280.3492821042346550.825358947882673
400.1447385028057610.2894770056115220.855261497194239
410.1780442776478270.3560885552956540.821955722352173
420.1911281354509940.3822562709019880.808871864549006
430.2189231889418620.4378463778837250.781076811058138
440.2587223080238320.5174446160476640.741277691976168
450.2341692818799030.4683385637598050.765830718120097
460.2053904648522970.4107809297045940.794609535147703
470.2892255233806830.5784510467613650.710774476619317
480.2564847180295810.5129694360591620.743515281970419
490.2372017407136790.4744034814273580.762798259286321
500.2923735061942080.5847470123884160.707626493805792
510.2605159020108270.5210318040216550.739484097989173
520.2762174111618730.5524348223237460.723782588838127
530.4869147405278610.9738294810557230.513085259472139
540.474815317165550.94963063433110.52518468283445
550.4964899173212560.9929798346425130.503510082678744
560.4788726410414190.9577452820828370.521127358958581
570.4599228521274910.9198457042549820.540077147872509
580.4261735206832160.8523470413664310.573826479316785
590.4206430901732910.8412861803465820.579356909826709
600.4301628145448860.8603256290897730.569837185455114
610.3945927854705450.789185570941090.605407214529455
620.5009818699625990.9980362600748010.499018130037401
630.556422635132910.887154729734180.44357736486709
640.5330295724214970.9339408551570060.466970427578503
650.5174450710230890.9651098579538230.482554928976911
660.4969804408769220.9939608817538450.503019559123078
670.5031869664535920.9936260670928160.496813033546408
680.4969936675362680.9939873350725370.503006332463732
690.4726677632394230.9453355264788460.527332236760577
700.4510386848967320.9020773697934630.548961315103268
710.4726803584516160.9453607169032330.527319641548384
720.4252362116805090.8504724233610180.574763788319491
730.4189403838745650.837880767749130.581059616125435
740.5685802891448070.8628394217103870.431419710855193
750.6102956970306270.7794086059387450.389704302969373
760.6300157536860220.7399684926279550.369984246313978
770.5949449404110180.8101101191779640.405055059588982
780.5624225558179740.8751548883640520.437577444182026
790.5132121442005350.973575711598930.486787855799465
800.4645561464237880.9291122928475760.535443853576212
810.4109896071001490.8219792142002970.589010392899851
820.5346460761007860.9307078477984280.465353923899214
830.4606366262735910.9212732525471810.539363373726409
840.4316708842933130.8633417685866260.568329115706687
850.4567979046398960.9135958092797920.543202095360104
860.4979983564453960.9959967128907930.502001643554604
870.429830639464230.859661278928460.57016936053577
880.4827624837234260.9655249674468520.517237516276574
890.3720015801361710.7440031602723420.627998419863829
900.5143931896694830.9712136206610340.485606810330517
910.3671566462500980.7343132925001960.632843353749902


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 level10.0114942528735632OK