Multiple Linear Regression - Estimated Regression Equation
Monthyly[t] = + 9.40343409932416 -0.000985975897309706births[t] + 0.0179399820177391t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.403434099324160.13672168.778100
births-0.0009859758973097060.000185-5.32761e-061e-06
t0.01793998201773910.0024257.397600


Multiple Linear Regression - Regression Statistics
Multiple R0.721700373651017
R-squared0.520851429328018
Adjusted R-squared0.506963064960714
F-TEST (value)37.5027192225899
F-TEST (DF numerator)2
F-TEST (DF denominator)69
p-value9.4672047978861e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.424796762935144
Sum Squared Residuals12.4512079962122


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
198.754854374760540.245145625239459
288.80631753728681-0.80631753728681
399.06089173465888-0.0608917346588774
498.87374873003620.126251269963802
599.2032570956038-0.203257095603804
699.06935678943585-0.0693567894358487
7109.214487662206540.78551233779346
899.00663916374036-0.00663916374035642
998.775127243738740.22487275626126
1098.995192284704970.00480771529503127
1188.69071814830243-0.690718148302434
1298.883175864143990.116824135856009
1398.819279846685020.180720153314975
1499.5313468604088-0.531346860408797
1598.901500677894060.0984993221059409
1699.25565844089441-0.255658440894408
1799.54868569826155-0.548685698261555
1898.824185829605090.175814170394914
19109.30652045925570.693479540744304
20109.556164777141220.443835222858784
2198.808987462846620.191012537153376
2298.967921998179650.0320780018203493
2399.3930700257863-0.393070025786298
24109.703844849305020.29615515069498
2599.0148401129517-0.0148401129517002
2699.70028577744811-0.70028577744811
27109.579203157945180.420796842054819
2899.09823933592421-0.0982393359242087
2998.982086595907830.0179134040921721
30109.894306716785470.10569328321453
31109.878723518294680.121276481705321
32109.444100563447260.555899436552736
33109.790370519269140.209629480730865
34109.783661103854130.216338896145869
3599.59849005102607-0.598490051026071
3699.09977866285352-0.0997786628535241
37109.911429242205580.0885707577944234
3899.86330883910357-0.863308839103566
39109.635740822691190.364259177308812
4099.37464962577028-0.37464962577028
41109.655845172369710.344154827630289
42109.879854116925180.120145883074822
43109.737080027681430.262919972318565
44109.561768733826470.438231266173528
45109.525480041492180.474519958507822
46109.453696216854730.546303783145267
4799.42628130759623-0.426281307596226
4899.52802924088529-0.52802924088529
49109.877257124399090.122742875600909
5099.79659951668586-0.796599516685859
51109.922010871510360.0779891284896438
5299.64514406023249-0.645144060232493
53109.821826161717090.178173838282905
541010.2617638277834-0.261763827783388
55109.487965164261430.512034835738567
561110.22763950310990.772360496890122
571010.0473983297684-0.0473983297683657
58109.621649157996740.378350842003263
5999.58831839335437-0.588318393354372
601010.2668622265696-0.266862226569614
61109.56799773124320.432002268756803
6299.66087188145647-0.660871881456473
631010.3334998592879-0.333499859287857
64109.726331122411240.273668877588757
651010.0045687413187-0.00456874131874433
66109.949546506935570.0504534930644347
671110.11045299406320.889547005936788
68109.976552687895260.0234473121047438
69109.787437731477960.212562268522043
70109.83594296631230.164057033687703
7199.74542559962597-0.745425599625968
721010.3687547825919-0.368754782591867


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.687179755832950.6256404883341010.312820244167051
70.7897430559193660.4205138881612680.210256944080634
80.7170714961158930.5658570077682140.282928503884107
90.604198153674850.79160369265030.39580184632515
100.5189363366647810.9621273266704380.481063663335219
110.6052874322835250.7894251354329490.394712567716475
120.5148629824720570.9702740350558870.485137017527943
130.4374739118871130.8749478237742260.562526088112887
140.6118054509486850.7763890981026310.388194549051315
150.5304376500788650.939124699842270.469562349921135
160.4614432246304740.9228864492609480.538556775369526
170.4566599620444960.9133199240889920.543340037955504
180.395216457432070.790432914864140.60478354256793
190.5590782338314240.8818435323371530.440921766168576
200.5492671428306260.9014657143387470.450732857169374
210.4731766680470460.9463533360940920.526823331952954
220.399739410118270.799478820236540.60026058988173
230.4075062305932910.8150124611865810.592493769406709
240.360495326967930.7209906539358610.639504673032069
250.2956661498155450.591332299631090.704333850184455
260.4166736655110610.8333473310221220.583326334488939
270.4099391631779590.8198783263559180.590060836822041
280.3494479384077550.6988958768155090.650552061592245
290.2851485127309140.5702970254618270.714851487269086
300.2296114574656850.459222914931370.770388542534315
310.1806760260417330.3613520520834660.819323973958267
320.1963255441952380.3926510883904750.803674455804762
330.1563206284492250.3126412568984490.843679371550775
340.1232017510104040.2464035020208070.876798248989596
350.1799376667029920.3598753334059850.820062333297008
360.1425152585879570.2850305171759140.857484741412043
370.1070486159933510.2140972319867020.892951384006649
380.2535638239656410.5071276479312820.746436176034359
390.2288313176924160.4576626353848330.771168682307584
400.2253925895723780.4507851791447560.774607410427622
410.1979866573172870.3959733146345740.802013342682713
420.1537416477873610.3074832955747220.846258352212639
430.1236700794137940.2473401588275880.876329920586206
440.1164628286299130.2329256572598260.883537171370087
450.1186949539691010.2373899079382020.881305046030899
460.1479148324480190.2958296648960390.852085167551981
470.1451409945622390.2902819891244790.854859005437761
480.159125631176660.3182512623533210.84087436882334
490.1223567868145990.2447135736291970.877643213185401
500.2257532176695150.4515064353390310.774246782330484
510.1726574482840020.3453148965680040.827342551715998
520.2636585234477780.5273170468955560.736341476552222
530.2062574502798780.4125149005597560.793742549720122
540.1951174106244390.3902348212488780.804882589375561
550.1830248411265080.3660496822530150.816975158873492
560.2747084769172870.5494169538345740.725291523082713
570.2067956472455270.4135912944910550.793204352754473
580.1965530407644140.3931060815288290.803446959235586
590.2321945338585250.4643890677170510.767805466141475
600.1875686483442750.3751372966885490.812431351655726
610.1714961593006040.3429923186012070.828503840699396
620.3026345867956810.6052691735913620.697365413204319
630.4302263993840720.8604527987681450.569773600615928
640.3163165108977850.632633021795570.683683489102215
650.3547990849784430.7095981699568860.645200915021557
660.5319731352378740.9360537295242520.468026864762126


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 level00OK