Multiple Linear Regression - Estimated Regression Equation
Birth[t] = + 4305.74116897413 + 111.797019312520x[t] + 0.114363609997994`(t-1)(t-2)`[t] + 0.149789773200904`(t-3)`[t] + 0.231900872212371`(t-4)`[t] + 0.0557474763800532V6[t] -796.750672653784M1[t] + 162.958810260578M2[t] -278.392163261884M3[t] -15.4247378444073M4[t] -203.396827883287M5[t] + 379.290332668419M6[t] + 174.162983151376M7[t] -124.869742601276M8[t] -138.797056360805M9[t] -872.609202075023M10[t] -325.272262586112M11[t] + 3.6537386110181t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4305.741168974131689.9580972.54780.0137750.006888
x111.797019312520141.1830350.79190.4319730.215986
`(t-1)(t-2)`0.1143636099979940.1446420.79070.4326630.216331
`(t-3)`0.1497897732009040.1381511.08420.2831640.141582
`(t-4)`0.2319008722123710.1382671.67720.0993920.049696
V60.05574747638005320.1461330.38150.7043690.352184
M1-796.750672653784211.414945-3.76870.0004140.000207
M2162.958810260578238.0779630.68450.4966570.248328
M3-278.392163261884175.876762-1.58290.1193980.059699
M4-15.4247378444073241.109457-0.0640.9492320.474616
M5-203.396827883287220.110027-0.92410.3596390.179819
M6379.290332668419191.0532411.98530.0523010.02615
M7174.162983151376208.6183740.83480.4075550.203778
M8-124.869742601276236.09641-0.52890.5990880.299544
M9-138.797056360805216.343578-0.64160.5239250.261962
M10-872.609202075023192.812809-4.52573.4e-051.7e-05
M11-325.272262586112220.447326-1.47550.1459920.072996
t3.65373861101813.5159621.03920.3034360.151718


Multiple Linear Regression - Regression Statistics
Multiple R0.885237692500969
R-squared0.78364577222444
Adjusted R-squared0.714249133126619
F-TEST (value)11.2922726865752
F-TEST (DF numerator)17
F-TEST (DF denominator)53
p-value4.21707113673619e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation272.147760915185
Sum Squared Residuals3925413.39987088


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
185878634.22152834587-47.2215283458666
297319530.27989199037200.720108009635
395639203.24756631348359.752433686525
499989390.6753230611607.324676938906
594379431.790975200225.20902479978107
61003810043.9482069436-5.94820694356449
799189918.68636626116-0.686366261159808
892529593.7611625277-341.761162527693
997379597.44474028683139.555259713166
1090358828.66882371979206.331176280213
1191339210.88860954452-77.8886095445173
1294879521.2139274883-34.2139274883007
1387008647.5242229097552.4757770902457
1496279557.5004201378569.4995798621518
1589479195.48986163386-248.489861633859
1692839360.42751082836-77.4275108283573
1788299283.77713121297-454.777131212974
1899479762.51163273201184.488367267991
1996289660.90238989545-32.9023898954528
2093189409.95453368235-91.95453368235
2196059550.4011226402654.5988773597412
2286408794.97954227136-154.979542271357
2392149188.9262862808125.0737137191913
2495679488.2237011250578.7762988749507
2585478613.69163526503-66.6916352650307
2691859592.59455047553-407.594550475526
2794709188.935789411281.064210589001
2891239366.85642709664-243.856427096638
2992789276.634318925571.36568107443183
30101709930.38316484827239.616835151732
3194349789.55773701722-355.557737017217
3296559560.219871501394.7801284986962
3394299680.47181793883-251.471817938827
3487398836.61848183618-97.6184818361834
3595529285.06573043731266.934269562693
3696879563.52499821418123.475001785821
3790198846.83272495757172.167275042432
3896729904.09232479283-232.092324792831
3992069517.64427475753-311.644274757528
4090699681.4008451006-612.400845100591
4197889525.80460012419262.195399875815
421031210102.1890315722209.810968427847
431010510010.592055750394.4079442496724
4498639929.128965353-66.1289653530095
45965610021.7714060889-365.771406088937
4692959212.8988036767282.1011963232786
4799469623.93799682872322.062003171277
4897019911.74623017709-210.746230177087
4990499092.88741155926-43.8874115592631
501019010075.8296937688114.170306231216
5197069650.4342991694555.565700830553
5297659867.75610678556-102.756106785564
5398939845.9384987128747.0615012871326
54999410407.1233849730-413.123384973042
551043310223.0739625391209.926037460885
561007310026.001780029546.9982199705025
571011210070.87268078741.1273192129988
5892669398.68511413702-132.685114137015
5998209799.7548074678720.2451925321346
601009710054.291142995442.708857004617
6191159181.84247696252-66.8424769625176
621041110155.7031188346255.296881165353
6396789814.2482087147-136.248208714693
64104089978.88378712776429.116212872245
651015310014.0544758242138.945524175813
661036810582.8445789310-214.844578930964
671058110496.187488536784.812511463271
681059710238.9336869061358.066313093854
691068010298.0382322581381.961767741859
7097389641.1492343589496.8507656410638
71955610112.4265694408-556.426569440779


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.8221704794009220.3556590411981560.177829520599078
220.7262843248775260.5474313502449490.273715675122474
230.7341190601999270.5317618796001460.265880939800073
240.6953215806698370.6093568386603260.304678419330163
250.6166121855104570.7667756289790850.383387814489543
260.5649006726164620.8701986547670760.435099327383538
270.7707961579345910.4584076841308180.229203842065409
280.7296563326955170.5406873346089660.270343667304483
290.6671934832229850.6656130335540290.332806516777015
300.8353457972500650.3293084054998700.164654202749935
310.8029551904858010.3940896190283970.197044809514199
320.7901492387371840.4197015225256330.209850761262816
330.7173028779797360.5653942440405280.282697122020264
340.7161752289657860.5676495420684280.283824771034214
350.7014173819827280.5971652360345450.298582618017272
360.6772722617829250.645455476434150.322727738217075
370.6258599790386270.7482800419227450.374140020961373
380.5571272438138630.8857455123722730.442872756186136
390.4900985928584510.9801971857169030.509901407141549
400.707383971902280.5852320561954420.292616028097721
410.7700748733079430.4598502533841130.229925126692057
420.7364106799883570.5271786400232860.263589320011643
430.7034113092796310.5931773814407370.296588690720369
440.645682823548870.7086343529022610.354317176451130
450.5704219623291660.8591560753416670.429578037670834
460.4745355337959580.9490710675919170.525464466204042
470.7320091708322740.5359816583354510.267990829167726
480.6095325963116740.7809348073766530.390467403688326
490.8340805921154580.3318388157690830.165919407884542
500.7077344701381240.5845310597237520.292265529861876


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