Multiple Linear Regression - Estimated Regression Equation
births[t] = + 6947.20633706813 + 173.236282358347difference[t] + 0.258154051655289Y1[t] -873.773242778912M1[t] + 313.821678685072M2[t] -315.452804436626M3[t] -44.9190632971903M4[t] -141.316615424233M5[t] + 439.945673352842M6[t] + 164.362142445581M7[t] -33.1643734665533M8[t] + 95.9311315482093M9[t] -680.3389636175M10[t] -73.9005296879053M11[t] + 5.43525886352773t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6947.206337068131183.3253775.870900
difference173.236282358347141.0730381.2280.2245870.112294
Y10.2581540516552890.1286512.00660.0496270.024813
M1-873.773242778912171.461961-5.0964e-062e-06
M2313.821678685072187.8699521.67040.1004170.050209
M3-315.452804436626173.39924-1.81920.0742240.037112
M4-44.9190632971903168.882586-0.2660.7912330.395616
M5-141.316615424233169.356938-0.83440.4075840.203792
M6439.945673352842169.1594212.60080.0118750.005937
M7164.362142445581187.2714350.87770.3838740.191937
M8-33.1643734665533181.133234-0.18310.8553860.427693
M995.9311315482093173.3803510.55330.5822610.291131
M10-680.3389636175175.816228-3.86960.0002870.000143
M11-73.9005296879053179.593853-0.41150.6822860.341143
t5.435258863527733.5087351.54910.1270.0635


Multiple Linear Regression - Regression Statistics
Multiple R0.872427654180786
R-squared0.76113001177939
Adjusted R-squared0.701412514724237
F-TEST (value)12.7455109358726
F-TEST (DF numerator)14
F-TEST (DF denominator)56
p-value1.08324460512677e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation278.193377872033
Sum Squared Residuals4333927.10754370


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
185878594.0632784302-7.06327843019715
297319488.66737504422242.332624955782
395639160.1563858797402.843614120302
499989392.75550520457605.244494795426
594379414.090224411122.909775588891
6100389855.9633490731182.036650926906
799189740.96566207419177.03433792581
892529517.89591882695-265.895918826949
997379480.49608430282256.503915697183
1090358834.86596305345200.134036946549
1191339265.51551158456-132.515511584560
1294879370.15039719821116.849602801789
1387008593.1989475688106.801052431202
1496279583.061889243643.9381107564011
1589479198.53147086988-251.531470869882
1692839298.95571574725-15.955715747248
1788299294.73318383991-465.73318383991
1899479764.2287920290182.771207970988
1996289782.6967497359-154.696749735891
2093189508.25435020925-190.254350209248
2196059562.757358074442.2426419256015
2286408866.01273459729-226.012734597285
2392149228.76776754305-14.7677675430531
2495679456.28398174462110.716018255378
2585478679.07437806355-132.074378063555
2691859608.78742570267-423.787425702672
2794709149.65048640058320.349513599423
2891239499.1933911253-376.193391125297
2992789318.6516419374-40.6516419373967
30101709945.36306758457224.636932415431
3194349905.48820961735-471.488209617353
3296559523.39557055045131.604429449546
3394299714.97837984456-285.978379844564
3487398885.80072786829-146.800727868287
3595529319.54812501926232.451874980740
3696879781.99943992479-94.9994399247896
3790198948.5122529828770.4877470171306
3896729969.09552680465-297.095526804649
3992069513.83089827738-307.830898277383
4090699669.50011020898-600.50011020898
4197889543.17071186869244.829288131309
421031210315.4810226494-3.48102264944673
431010510180.6054736731-75.6054736730843
4498639935.07632793183-72.076327931833
45965610007.1338113095-351.133811309543
4692959182.86108631472112.138913685282
4799469701.54116646028244.45883353972
4897019948.9352426393-247.935242639306
4990499017.3495160683831.6504839316238
501019010042.0632547166147.93674528336
5197069712.77780339716-6.77780339715467
5297659863.80024239896-98.8002423989576
5398939788.0690381831104.930961816895
54999410407.8103044356-413.810304435585
551043310163.7355916090269.264408390965
561007310084.9739632371-11.9739632371005
571011210126.5692685195-14.5692685194869
5892669365.80244023186-99.8024402318617
5998209759.277805324660.7221946753907
60100979981.63093849307115.369061506928
6191159184.8016268862-69.8016268862032
621041110124.3245284882286.675471511778
6396789835.0529551753-157.052955175306
64104089921.79503531494486.204964685058
651015310019.2851997598133.714800240212
661036810540.1534642283-172.153464228293
671058110325.5083132904255.491686709554
681059710188.4038692444408.596130755584
691068010327.0650979492352.934902050809
7097389577.6570479344160.342952065601
7195569946.34962406824-390.349624068238


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.7839113252230410.4321773495539180.216088674776959
190.6534442551519260.6931114896961490.346555744848074
200.6328348476577370.7343303046845250.367165152342263
210.511519324484410.976961351031180.48848067551559
220.4135392005413690.8270784010827370.586460799458631
230.4235345828350730.8470691656701460.576465417164927
240.3597666535773780.7195333071547560.640233346422622
250.2713479528744450.542695905748890.728652047125555
260.2764623599337340.5529247198674690.723537640066266
270.4793082080060730.9586164160121450.520691791993927
280.4563963705386070.9127927410772130.543603629461393
290.4731607796470470.9463215592940930.526839220352953
300.5671613679522050.865677264095590.432838632047795
310.5321268913199650.935746217360070.467873108680035
320.6028579961018420.7942840077963170.397142003898158
330.5357905192877070.9284189614245850.464209480712292
340.4994361457892240.9988722915784490.500563854210776
350.5356968751403470.9286062497193070.464303124859653
360.4560956911915720.9121913823831450.543904308808428
370.4307194313518170.8614388627036340.569280568648183
380.3726583478783940.7453166957567880.627341652121606
390.3357037449777430.6714074899554850.664296255022258
400.588659160203990.8226816795920210.411340839796010
410.5949875512611850.8100248974776310.405012448738815
420.6506872328366240.6986255343267520.349312767163376
430.5830507645222140.8338984709555710.416949235477786
440.5164386239178990.9671227521642030.483561376082101
450.560599661257440.878800677485120.43940033874256
460.4802487679111850.960497535822370.519751232088815
470.7799953538671490.4400092922657030.220004646132851
480.6836038646082430.6327922707835140.316396135391757
490.6116550566993730.7766898866012540.388344943300627
500.5553359070675070.8893281858649870.444664092932493
510.5844929408761880.8310141182476230.415507059123812
520.4603449748721090.9206899497442180.539655025127891
530.315317532182120.630635064364240.68468246781788


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