Multiple Linear Regression - Estimated Regression Equation
Births[t] = + 9330.6231884058 + 107.616287094544M1[t] -635.535541752933M2[t] -287.830227743271M3[t] + 8.73844030365812M4[t] -879.770531400966M5[t] + 75.7204968944103M6[t] -309.621808143547M7[t] -141.297446514838M8[t] -196.973084886128M9[t] + 367.351276742581M10[t] + 234.508971704624M11[t] + 11.0089717046239t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9330.6231884058136.43832168.387100
M1107.616287094544162.9919160.66030.5115360.255768
M2-635.535541752933162.923919-3.90080.0002390.000119
M3-287.830227743271162.871013-1.76720.0821110.041056
M48.73844030365812169.4143670.05160.9590290.479514
M5-879.770531400966169.305323-5.19642e-061e-06
M675.7204968944103169.2107620.44750.6560790.32804
M7-309.621808143547169.130707-1.83070.0719570.035979
M8-141.297446514838169.065179-0.83580.4065010.20325
M9-196.973084886128169.014195-1.16540.2483120.124156
M10367.351276742581168.9777692.1740.0335340.016767
M11234.508971704624168.955911.3880.1701080.085054
t11.00897170462391.569197.015700


Multiple Linear Regression - Regression Statistics
Multiple R0.846476842937978
R-squared0.716523045630245
Adjusted R-squared0.661656538332874
F-TEST (value)13.0593887040549
F-TEST (DF numerator)12
F-TEST (DF denominator)62
p-value8.08797473439427e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation292.627597935097
Sum Squared Residuals5309116.48654243


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009449.248447205250.751552795006
290818717.10559006211363.894409937889
390849075.81987577648.18012422360365
497439383.39751552795359.602484472051
585878505.8975155279581.1024844720503
697319472.39751552795258.602484472051
795639098.06418219462464.935817805384
899989277.39751552795720.60248447205
994379232.73084886128204.269151138717
10100399808.06418219462230.935817805384
1199189686.23084886128231.769151138717
1292529462.73084886128-210.730848861283
1397379581.35610766045155.643892339550
1490358849.2132505176185.786749482402
1591339207.92753623188-74.9275362318834
1694879515.50517598344-28.5051759834363
1787008638.0051759834461.9948240165638
1896279604.5051759834422.4948240165637
1989479230.1718426501-283.171842650103
2092839409.50517598344-126.505175983436
2188299364.83850931677-535.83850931677
2299479940.17184265016.82815734989703
2396289818.33850931677-190.338509316770
2493189594.83850931677-276.838509316770
2596059713.46376811594-108.463768115937
2686408981.32091097309-341.320910973085
2792149340.03519668737-126.035196687370
2895679647.61283643892-80.6128364389232
2985478770.11283643892-223.112836438923
3091859736.61283643892-551.612836438923
3194709362.27950310559107.720496894410
3291239541.61283643892-418.612836438923
3392789496.94616977226-218.946169772257
341017010072.279503105697.7204968944101
3594349950.44616977226-516.446169772257
3696559726.94616977226-71.9461697722564
3794299845.57142857142-416.571428571424
3887399113.42857142857-374.428571428571
3995529472.1428571428679.8571428571428
4096879779.7204968944-92.7204968944101
4190198902.22049689441116.77950310559
4296729868.7204968944-196.72049689441
4392069494.38716356108-288.387163561077
4490699673.72049689441-604.72049689441
4597889629.05383022774158.946169772256
461031210204.3871635611107.612836438923
471010510082.553830227722.4461697722565
4898639859.053830227743.94616977225661
4996569977.67908902691-321.679089026911
5092959245.5362318840649.4637681159416
5199469604.25051759834341.749482401656
5297019911.8281573499-210.828157349897
5390499034.328157349914.6718426501029
541019010000.8281573499189.171842650103
5597069626.4948240165679.5051759834362
5697659805.8281573499-40.8281573498971
5798939761.16149068323131.838509316770
58999410336.4948240166-342.494824016564
591043310214.6614906832218.338509316770
60100739991.1614906832381.8385093167697
611011210109.78674948242.21325051760193
6292669377.64389233955-111.643892339545
6398209736.3581780538383.6418219461689
641009710043.935817805453.064182194616
6591159166.43581780538-51.4358178053838
661041110132.9358178054278.064182194616
6796789758.60248447205-80.6024844720507
68104089937.93581780538470.064182194616
69101539893.26915113872259.730848861283
701036810468.6024844721-100.602484472051
711058110346.7691511387234.230848861283
721059710123.2691511387473.730848861283
731068010241.8944099379438.105590062115
7497389509.75155279503228.248447204968
7595569868.46583850932-312.465838509318


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.08579503247803170.1715900649560630.914204967521968
170.05249914236284870.1049982847256970.947500857637151
180.02310439656674660.04620879313349330.976895603433253
190.2314952102197710.4629904204395410.76850478978023
200.4557925362952260.9115850725904530.544207463704774
210.5046248547684930.9907502904630140.495375145231507
220.4374561287420040.8749122574840090.562543871257996
230.3401337454531520.6802674909063040.659866254546848
240.3106924552964030.6213849105928060.689307544703597
250.2671208096369140.5342416192738280.732879190363086
260.2067316873615170.4134633747230330.793268312638483
270.2398441421326920.4796882842653840.760155857867308
280.2055818949070570.4111637898141140.794418105092943
290.1532349142080510.3064698284161010.84676508579195
300.1729571352678700.3459142705357410.82704286473213
310.2679702442650790.5359404885301590.73202975573492
320.261370135996410.522740271992820.73862986400359
330.2684306721507490.5368613443014990.73156932784925
340.3427860198613890.6855720397227790.65721398013861
350.3585497015991770.7170994031983550.641450298400823
360.4317391985875080.8634783971750160.568260801412492
370.3801962932930680.7603925865861360.619803706706932
380.3289434898558020.6578869797116040.671056510144198
390.4503971848896520.9007943697793040.549602815110348
400.4030991246923390.8061982493846780.596900875307661
410.4850344567558990.9700689135117970.514965543244101
420.4542686411798320.9085372823596640.545731358820168
430.3807078483141690.7614156966283380.619292151685831
440.6060712383929270.7878575232141470.393928761607073
450.6749693725564270.6500612548871470.325030627443573
460.7522284372150170.4955431255699660.247771562784983
470.7287632416138850.5424735167722310.271236758386115
480.7041018157873260.5917963684253480.295898184212674
490.7470943492611840.5058113014776330.252905650738816
500.6993977353680260.6012045292639480.300602264631974
510.9162208474558450.1675583050883100.0837791525441551
520.8726819826347650.2546360347304710.127318017365235
530.8375832821634570.3248334356730850.162416717836543
540.791322090246710.4173558195065790.208677909753290
550.7894873491449870.4210253017100250.210512650855013
560.775930431173390.448139137653220.22406956882661
570.6730674062422740.6538651875154510.326932593757726
580.5394754003839790.9210491992320420.460524599616021
590.4161344713608410.8322689427216820.583865528639159


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0227272727272727OK
10% type I error level10.0227272727272727OK