Multiple Linear Regression - Estimated Regression Equation
births[t] = + 9.10405454545455 + 0.276662121212123M1[t] -0.550166666666666M2[t] + 0.348186363636364M3[t] + 0.0224484848484851M4[t] + 0.200074242424243M5[t] + 0.116881818181818M6[t] + 0.712507575757576M7[t] + 0.523860606060606M8[t] + 0.317940909090909M9[t] + 0.348748484848485M10[t] -0.389534848484848M11[t] + 0.0085560606060606t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.104054545454550.10587685.987800
M10.2766621212121230.1315532.10310.0375680.018784
M2-0.5501666666666660.131513-4.18345.5e-052.8e-05
M30.3481863636363640.1314772.64830.0091880.004594
M40.02244848484848510.1314450.17080.8646850.432342
M50.2000742424242430.1314161.52240.130550.065275
M60.1168818181818180.1313910.88960.3754920.187746
M70.7125075757575760.1313715.423600
M80.5238606060606060.1313533.98820.0001155.8e-05
M90.3179409090909090.131342.42070.0170.0085
M100.3487484848484850.1313312.65550.0090040.004502
M11-0.3895348484848480.131325-2.96620.0036450.001822
t0.00855606060606060.00070612.112100


Multiple Linear Regression - Regression Statistics
Multiple R0.850782901773075
R-squared0.723831545949414
Adjusted R-squared0.69598262621322
F-TEST (value)25.9913688863376
F-TEST (DF numerator)12
F-TEST (DF denominator)119
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.307979959265853
Sum Squared Residuals11.2873469818182


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.4929.389272727272710.102727272727289
28.6418.5710.07
39.7939.47790909090910.315090909090909
49.6039.160727272727270.442272727272727
59.2389.3469090909091-0.108909090909092
69.5359.272272727272730.262727272727272
710.2959.876454545454550.418545454545454
89.9419.696363636363640.244636363636364
99.9849.4990.485
109.5639.538363636363640.0246363636363633
118.8728.808636363636360.0633636363636357
129.3029.206727272727270.095272727272727
139.2159.49194545454546-0.276945454545456
148.8348.673672727272730.160327272727272
159.9989.580581818181820.417418181818181
169.6049.26340.340599999999999
179.5079.449581818181820.0574181818181812
189.7189.374945454545450.343054545454545
1910.0959.979127272727270.115872727272727
209.5839.79903636363636-0.216036363636364
219.8839.601672727272730.281327272727272
229.3659.64103636363636-0.276036363636364
238.9198.91130909090910.00769090909090921
249.4499.30940.1396
259.7699.594618181818180.174381818181816
269.3218.776345454545450.544654545454545
279.9399.683254545454550.255745454545455
289.3369.36607272727273-0.0300727272727273
2910.1959.552254545454550.642745454545455
309.4649.47761818181818-0.0136181818181818
3110.0110.0818-0.0718000000000007
3210.2139.90170909090910.311290909090908
339.5639.70434545454546-0.141345454545454
349.899.74370909090910.146290909090909
359.3059.013981818181820.291018181818181
369.3919.41207272727273-0.0210727272727273
379.9289.697290909090910.23070909090909
388.6868.87901818181818-0.193018181818182
399.8439.785927272727270.0570727272727273
409.6279.468745454545460.158254545454546
4110.0749.654927272727270.419072727272727
429.5039.5802909090909-0.0772909090909092
4310.11910.1844727272727-0.065472727272728
441010.0043818181818-0.00438181818181833
459.3139.80701818181818-0.494018181818182
469.8669.846381818181820.0196181818181811
479.1729.116654545454550.0553454545454549
489.2419.51474545454546-0.273745454545455
499.6599.79996363636364-0.140963636363638
508.9048.98169090909091-0.0776909090909093
519.7559.8886-0.133599999999999
529.089.57141818181818-0.491418181818182
539.4359.7576-0.3226
548.9719.68296363636364-0.711963636363637
5510.06310.2871454545455-0.224145454545454
569.79310.1070545454545-0.314054545454546
579.4549.9096909090909-0.455690909090909
589.7599.94905454545455-0.190054545454545
598.829.21932727272727-0.399327272727273
609.4039.61741818181818-0.214418181818181
619.6769.90263636363636-0.226636363636365
628.6429.08436363636364-0.442363636363637
639.4029.99127272727273-0.589272727272728
649.619.6740909090909-0.0640909090909098
659.2949.86027272727273-0.566272727272727
669.4489.78563636363636-0.337636363636363
6710.31910.3898181818182-0.0708181818181813
689.54810.2097272727273-0.661727272727273
699.80110.0123636363636-0.211363636363636
709.59610.0517272727273-0.455727272727273
718.9239.322-0.399
729.7469.72009090909090.0259090909090916
739.82910.0053090909091-0.176309090909092
749.1259.18703636363636-0.0620363636363637
759.78210.0939454545455-0.311945454545454
769.4419.77676363636364-0.335763636363636
779.1629.96294545454545-0.800945454545454
789.9159.88830909090910.0266909090909082
7910.44410.4924909090909-0.0484909090909085
8010.20910.3124-0.1034
819.98510.1150363636364-0.130036363636364
829.84210.1544-0.3124
839.4299.424672727272730.00432727272727288
8410.1329.822763636363640.309236363636364
859.84910.1079818181818-0.25898181818182
869.1729.2897090909091-0.11770909090909
8710.31310.19661818181820.116381818181819
889.8199.87943636363636-0.0604363636363628
899.95510.0656181818182-0.110618181818182
9010.0489.990981818181820.057018181818182
9110.08210.5951636363636-0.513163636363636
9210.54110.41507272727270.125927272727273
9310.20810.2177090909091-0.00970909090909067
9410.23310.2570727272727-0.0240727272727269
959.4399.52734545454545-0.0883454545454544
969.9639.925436363636360.0375636363636361
9710.15810.2106545454545-0.0526545454545477
989.2259.39238181818182-0.167381818181818
9910.47410.29929090909090.174709090909091
1009.7579.9821090909091-0.225109090909091
10110.4910.16829090909090.321709090909091
10210.28110.09365454545450.187345454545455
10310.44410.6978363636364-0.253836363636363
10410.6410.51774545454550.122254545454546
10510.69510.32038181818180.374618181818182
10610.78610.35974545454550.426254545454545
1079.8329.630018181818180.201981818181819
1089.74710.0281090909091-0.281109090909091
10910.41110.31332727272730.0976727272727253
1109.5119.495054545454550.0159454545454541
11110.40210.40196363636363.63636363631989e-05
1129.70110.0847818181818-0.383781818181818
11310.5410.27096363636360.269036363636363
11410.11210.1963272727273-0.0843272727272724
11510.91510.80050909090910.114490909090908
11611.18310.62041818181820.562581818181818
11710.38410.4230545454545-0.0390545454545449
11810.83410.46241818181820.371581818181818
1199.8869.73269090909090.15330909090909
12010.21610.13078181818180.0852181818181816
12110.94310.4160.526999999999998
1229.8679.597727272727270.269272727272729
12310.20310.5046363636364-0.301636363636364
12410.83710.18745454545450.649545454545455
12510.57310.37363636363640.199363636363637
12610.64710.2990.348
12711.50210.90318181818180.598818181818182
12810.65610.7230909090909-0.0670909090909082
12910.86610.52572727272730.340272727272727
13010.83510.56509090909090.269909090909092
1319.9459.835363636363640.109636363636364
13210.33110.23345454545450.0975454545454547


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1566766454972020.3133532909944040.843323354502798
170.1006975521412530.2013951042825050.899302447858747
180.04952534529456260.09905069058912530.950474654705437
190.04424928298099670.08849856596199340.955750717019003
200.06225672253100030.1245134450620010.937743277469
210.035940021129340.071880042258680.96405997887066
220.02252128510303540.04504257020607080.977478714896965
230.01132967740890640.02265935481781290.988670322591094
240.006813650276867570.01362730055373510.993186349723132
250.01427521559641710.02855043119283420.985724784403583
260.04501899851311150.0900379970262230.954981001486888
270.03308171126410760.06616342252821520.966918288735892
280.04574153690849170.09148307381698340.954258463091508
290.2317945670689010.4635891341378010.7682054329311
300.229743417902730.4594868358054610.77025658209727
310.2217704331078230.4435408662156460.778229566892177
320.2488772116098920.4977544232197840.751122788390108
330.3090903217264920.6181806434529850.690909678273508
340.3125009266311070.6250018532622130.687499073368893
350.3358374114454030.6716748228908060.664162588554597
360.2926515488864180.5853030977728370.707348451113582
370.3031410353390550.606282070678110.696858964660945
380.3434728533139230.6869457066278450.656527146686077
390.345375101701850.69075020340370.65462489829815
400.3442484125948510.6884968251897030.655751587405149
410.4826592261966510.9653184523933010.517340773803349
420.4727250118229980.9454500236459950.527274988177002
430.4507156036054540.9014312072109090.549284396394546
440.4301645367583050.860329073516610.569835463241695
450.5681163777964040.8637672444071920.431883622203596
460.5580146301932470.8839707396135060.441985369806753
470.5676443216165990.8647113567668030.432355678383401
480.54070513357660.91858973284680.4592948664234
490.4980903667031930.9961807334063860.501909633296807
500.4818273873319460.9636547746638920.518172612668054
510.4992239265452270.9984478530904540.500776073454773
520.583822395827020.832355208345960.41617760417298
530.5970094168533960.8059811662932090.402990583146604
540.7276325119882370.5447349760235270.272367488011763
550.6896596028557030.6206807942885930.310340397144297
560.6466330534793560.7067338930412880.353366946520644
570.6172622764512060.7654754470975880.382737723548794
580.5740427848155710.8519144303688580.425957215184429
590.5392257859591030.9215484280817940.460774214040897
600.4913846751889150.982769350377830.508615324811085
610.4413009294935420.8826018589870850.558699070506458
620.4074169579464160.8148339158928320.592583042053584
630.4351499293613360.8702998587226720.564850070638664
640.4355800337605430.8711600675210850.564419966239457
650.4404973746136950.880994749227390.559502625386305
660.3934031778917440.7868063557834880.606596822108256
670.3899806853036250.779961370607250.610019314696375
680.4476451295119620.8952902590239230.552354870488038
690.4101888240824780.8203776481649570.589811175917522
700.3904545190785990.7809090381571980.609545480921401
710.3513818697104180.7027637394208350.648618130289582
720.3883184331168210.7766368662336430.611681566883179
730.3555774596550620.7111549193101240.644422540344938
740.347975403520520.695950807041040.65202459647948
750.2988009351555740.5976018703111490.701199064844426
760.2539770486029450.507954097205890.746022951397055
770.4657781685493570.9315563370987140.534221831450643
780.4930074096162850.986014819232570.506992590383715
790.4798425164085720.9596850328171430.520157483591428
800.462091087196230.924182174392460.53790891280377
810.4334781260726930.8669562521453860.566521873927307
820.4414088339596920.8828176679193850.558591166040308
830.4317433760416980.8634867520833970.568256623958302
840.6269260359242740.7461479281514530.373073964075726
850.6036464807374720.7927070385250560.396353519262528
860.5567174232436330.8865651535127350.443282576756367
870.6017106161524610.7965787676950780.398289383847539
880.5649221930729980.8701556138540040.435077806927002
890.5349404188657830.9301191622684340.465059581134217
900.5173486875689690.9653026248620610.482651312431031
910.5772781457253780.8454437085492450.422721854274622
920.5719301329146160.8561397341707680.428069867085384
930.5330201743640540.9339596512718930.466979825635946
940.5169047720375540.9661904559248910.483095227962446
950.4629192857879420.9258385715758840.537080714212058
960.4395893967469010.8791787934938020.560410603253099
970.4122173919004950.824434783800990.587782608099505
980.3651992421205430.7303984842410860.634800757879457
990.4209959549186230.8419919098372470.579004045081377
1000.3766606655715930.7533213311431860.623339334428407
1010.3940672908304680.7881345816609370.605932709169532
1020.3734854373702380.7469708747404750.626514562629762
1030.4130121098941340.8260242197882680.586987890105866
1040.3587771562416060.7175543124832120.641222843758394
1050.4012905798399320.8025811596798640.598709420160068
1060.425513253810990.851026507621980.57448674618901
1070.4107246844344610.8214493688689210.58927531556554
1080.3365891649184160.6731783298368320.663410835081584
1090.29588373228420.5917674645684010.7041162677158
1100.2272042636756990.4544085273513990.7727957363243
1110.2194982300666370.4389964601332740.780501769933363
1120.5621211205612870.8757577588774260.437878879438713
1130.4700223983763970.9400447967527940.529977601623603
1140.4473277670794720.8946555341589440.552672232920528
1150.5302592137326420.9394815725347150.469740786267358
1160.8446647358965150.3106705282069690.155335264103485


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0396039603960396OK
10% type I error level100.099009900990099OK