Multiple Linear Regression - Estimated Regression Equation
Births_per_month[t] = + 9330.58695652174 + 107.620600414077M1[t] -635.532091097308M2[t] -287.827639751553M3[t] + 8.74534161490679M4[t] -879.764492753623M5[t] + 75.7256728778466M6[t] -309.617494824017M7[t] -141.293995859213M8[t] -196.97049689441M9[t] + 367.186335403727M10[t] + 234.50983436853M11[t] + 11.00983436853t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9330.58695652174136.43239768.389800
M1107.620600414077162.9848390.66030.51150.25575
M2-635.532091097308162.916845-3.9010.0002380.000119
M3-287.827639751553162.863941-1.76730.0821010.04105
M48.74534161490679169.4070110.05160.9589950.479497
M5-879.764492753623169.297972-5.19652e-061e-06
M675.7256728778466169.2034140.44750.6560430.328022
M7-309.617494824017169.123363-1.83070.0719490.035975
M8-141.293995859213169.057838-0.83580.4064920.203246
M9-196.97049689441169.006856-1.16550.2482980.124149
M10367.186335403727168.9704322.17310.0336040.016802
M11234.50983436853168.9485731.38810.1700880.085044
t11.009834368531.5691227.016600


Multiple Linear Regression - Regression Statistics
Multiple R0.846483642463992
R-squared0.716534556959107
Adjusted R-squared0.661670277660869
F-TEST (value)13.0601288511253
F-TEST (DF numerator)12
F-TEST (DF denominator)62
p-value8.07798272717264e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation292.614891203776
Sum Squared Residuals5308655.42236025


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009449.21739130436250.782608695645
290818717.07453416149363.92546583851
390849075.788819875788.21118012422378
497439383.37163561077359.628364389234
585878505.8716356107781.128364389234
697319472.37163561077258.628364389234
795639098.03830227743464.961697722568
899989277.37163561077720.628364389234
994379232.7049689441204.295031055901
10100389807.87163561077230.128364389234
1199189686.2049689441231.795031055901
1292529462.7049689441-210.704968944099
1397379581.33540372671155.664596273294
1490358849.19254658385185.807453416149
1591339207.90683229814-74.9068322981364
1694879515.48964803313-28.4896480331261
1787008637.9896480331362.010351966874
1896279604.4896480331322.510351966874
1989479230.15631469979-283.156314699793
2092839409.48964803313-126.489648033126
2188299364.82298136646-535.82298136646
2299479939.989648033137.01035196687387
2396289818.32298136646-190.32298136646
2493189594.82298136646-276.82298136646
2596059713.45341614907-108.453416149067
2686408981.31055900621-341.310559006211
2792149340.0248447205-126.024844720497
2895679647.60766045549-80.6076604554865
2985478770.10766045549-223.107660455486
3091859736.60766045549-551.607660455487
3194709362.27432712215107.725672877847
3291239541.60766045549-418.607660455486
3392789496.94099378882-218.94099378882
341017010072.107660455597.8923395445136
3594349950.44099378882-516.44099378882
3696559726.94099378882-71.9409937888199
3794299845.57142857143-416.571428571427
3887399113.42857142857-374.428571428571
3995529472.1428571428679.8571428571429
4096879779.72567287785-92.7256728778469
4190198902.22567287785116.774327122153
4296729868.72567287785-196.725672877847
4392069494.39233954451-288.392339544514
4490699673.72567287785-604.725672877847
4597889629.05900621118158.94099378882
461031210204.2256728778107.774327122153
471010510082.559006211222.4409937888197
4898639859.059006211183.94099378881965
4996569977.68944099379-321.689440993788
5092959245.5465838509349.4534161490682
5199469604.26086956522341.739130434783
5297019911.84368530021-210.843685300207
5390499034.3436853002114.6563146997928
541019010000.8436853002189.156314699793
5597069626.5103519668779.489648033126
5697659805.84368530021-40.8436853002073
5798939761.17701863354131.822981366459
58999410336.3436853002-342.343685300207
591043310214.6770186335218.32298136646
60100739991.1770186335481.8229813664593
611011210109.80745341612.19254658385198
6292669377.66459627329-111.664596273292
6398209736.3788819875883.6211180124221
641009710043.961697722653.0383022774324
6591159166.46169772257-51.4616977225677
661041110132.9616977226278.038302277433
6796789758.62836438923-80.6283643892342
68104089937.96169772257470.038302277433
69101539893.2950310559259.704968944099
701036810468.4616977226-100.461697722567
711058110346.7950310559234.204968944099
721059710123.2950310559473.704968944099
731068010241.9254658385438.074534161492
7497389509.78260869565228.217391304347
7595569868.49689440994-312.496894409938


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.08579503247803120.1715900649560620.914204967521969
170.05249914236284870.1049982847256970.947500857637151
180.0231043965667470.04620879313349390.976895603433253
190.2314952102197690.4629904204395370.768504789780231
200.4557925362952240.9115850725904480.544207463704776
210.5046248547684910.9907502904630170.495375145231509
220.4376776662035560.8753553324071120.562322333796444
230.3403518716684320.6807037433368650.659648128331568
240.3108558602280040.6217117204560090.689144139771996
250.2672363368810960.5344726737621920.732763663118904
260.206849883256790.4136997665135810.79315011674321
270.239916252646910.479832505293820.76008374735309
280.2056314547101580.4112629094203170.794368545289842
290.1532689585733140.3065379171466290.846731041426686
300.1730084614320750.346016922864150.826991538567925
310.2680029981810830.5360059963621660.731997001818917
320.2614164209755360.5228328419510710.738583579024464
330.2684589160334210.5369178320668430.731541083966579
340.3429951291659270.6859902583318530.657004870834073
350.3587736747274710.7175473494549410.641226325272529
360.4319057185873530.8638114371747060.568094281412647
370.3803629450068060.7607258900136110.619637054993194
380.3291008768387060.6582017536774110.670899123161294
390.4505050033159060.9010100066318130.549494996684094
400.4031901999959840.8063803999919670.596809800004017
410.4850941277350280.9701882554700560.514905872264972
420.4543171020715930.9086342041431850.545682897928407
430.3807562718644580.7615125437289150.619243728135542
440.6061268541454770.7877462917090470.393873145854523
450.6749967690605830.6500064618788340.325003230939417
460.7522907682633550.4954184634732910.247709231736645
470.7288119200816730.5423761598366530.271188079918327
480.7041387281107140.5917225437785720.295861271889286
490.747126825580550.5057463488389010.25287317441945
500.6994219913515070.6011560172969870.300578008648493
510.9162245616856150.1675508766287710.0837754383143854
520.8726870594305430.2546258811389130.127312940569457
530.83758669320.3248266136000010.1624133068
540.7913207126358080.4173585747283830.208679287364191
550.7894838579562990.4210322840874010.210516142043701
560.7759253356027740.4481493287944520.224074664397226
570.6730586411975120.6538827176049750.326941358802487
580.539452308814350.92109538237130.46054769118565
590.4161104422446230.8322208844892460.583889557755377


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