Multiple Linear Regression - Estimated Regression Equation
Birth[t] = + 9548.42203608247 + 489.155927835053x[t] + 87.5111377024945M1[t] -644.631719440353M2[t] -285.917433726068M3[t] + 2.19265463917518M4[t] -956.833333333334M5[t] + 9.66666666666654M6[t] -364.666666666667M7[t] -185.333333333334M8[t] -230.000000000000M9[t] + 345.166666666666M10[t] + 223.500000000000M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9548.42203608247121.78690978.402700
x489.15592783505366.7451797.328700
M187.5111377024945159.685980.5480.5856460.292823
M2-644.631719440353159.68598-4.03690.0001517.6e-05
M3-285.917433726068159.68598-1.79050.0782560.039128
M42.19265463917518166.0132250.01320.9895040.494752
M5-956.833333333334165.640101-5.776600
M69.66666666666654165.6401010.05840.953650.476825
M7-364.666666666667165.640101-2.20160.0314270.015713
M8-185.333333333334165.640101-1.11890.2675030.133751
M9-230.000000000000165.640101-1.38860.1699370.084969
M10345.166666666666165.6401012.08380.0413030.020652
M11223.500000000000165.6401011.34930.1821440.091072


Multiple Linear Regression - Regression Statistics
Multiple R0.852938681164412
R-squared0.727504393826486
Adjusted R-squared0.674763308760644
F-TEST (value)13.7938837041042
F-TEST (DF numerator)12
F-TEST (DF denominator)62
p-value2.55573340268711e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation286.897071073320
Sum Squared Residuals5103215.62220789


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009635.9331737850364.0668262149703
290818903.79031664212177.20968335788
390849262.5046023564-178.504602356405
497439550.61469072165192.38530927835
585878591.58870274914-4.58870274914076
697319558.08870274914172.91129725086
795639183.7553694158379.244630584194
899989363.08870274914634.91129725086
994379318.42203608247118.577963917526
10100389893.58870274914144.411297250860
1199189771.92203608247146.077963917526
1292529548.42203608247-296.422036082474
1397379635.93317378497101.066826215031
1490358903.79031664212131.209683357880
1591339262.5046023564-129.504602356406
1694879550.61469072165-63.614690721649
1787008591.58870274914108.411297250860
1896279558.0887027491468.9112972508598
1989479183.7553694158-236.755369415807
2092839363.08870274914-80.08870274914
2188299318.42203608247-489.422036082473
2299479893.5887027491453.4112972508599
2396289771.92203608247-143.922036082474
2493189548.42203608247-230.422036082474
2596059635.93317378497-30.9331737849686
2686408903.79031664212-263.79031664212
2792149262.5046023564-48.5046023564059
2895679550.6146907216516.3853092783511
2985478591.58870274914-44.5887027491402
3091859558.08870274914-373.08870274914
3194709183.7553694158286.244630584193
3291239363.08870274914-240.08870274914
3392789318.42203608247-40.4220360824735
34101709893.58870274914276.41129725086
3594349771.92203608247-337.922036082474
3696559548.42203608247106.577963917526
3794299635.93317378497-206.933173784969
3887398903.79031664212-164.79031664212
3995529262.5046023564289.495397643594
4096879550.61469072165136.385309278351
4190199080.7446305842-61.744630584193
42967210047.2446305842-375.244630584193
4392069672.91129725086-466.91129725086
4490699852.2446305842-783.244630584193
4597889807.57796391753-19.5779639175265
461031210382.7446305842-70.7446305841933
471010510261.0779639175-156.077963917526
48986310037.5779639175-174.577963917527
49965610125.0891016200-469.089101620022
5092959392.94624447717-97.946244477173
5199469751.66053019146194.339469808541
52970110039.7706185567-338.770618556702
5390499080.7446305842-31.744630584193
541019010047.2446305842142.755369415807
5597069672.9112972508633.08870274914
5697659852.2446305842-87.2446305841929
5798939807.5779639175385.4220360824735
58999410382.7446305842-388.744630584193
591043310261.0779639175171.922036082473
601007310037.577963917535.4220360824733
611011210125.0891016200-13.0891016200215
6292669392.94624447717-126.946244477173
6398209751.6605301914668.3394698085412
641009710039.770618556757.2293814432981
6591159080.744630584234.255369415807
661041110047.2446305842363.755369415807
6796789672.911297250865.08870274914004
68104089852.2446305842555.755369415807
69101539807.57796391753345.422036082474
701036810382.7446305842-14.7446305841933
711058110261.0779639175319.922036082474
721059710037.5779639175559.422036082473
731068010125.0891016200554.910898379979
7497389392.94624447717345.053755522827
7595569751.66053019146-195.660530191459


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.06303882111829750.1260776422365950.936961178881702
170.02532375971265730.05064751942531470.974676240287343
180.009737074301908530.01947414860381710.990262925698091
190.1490173749370200.2980347498740400.85098262506298
200.3763226109587290.7526452219174590.62367738904127
210.5105184246527070.9789631506945860.489481575347293
220.4075134512317530.8150269024635060.592486548768247
230.3484886959678740.6969773919357480.651511304032126
240.2741900310511320.5483800621022630.725809968948868
250.2029706658395890.4059413316791770.797029334160411
260.2225768477177700.4451536954355410.77742315228223
270.1637623672802270.3275247345604540.836237632719773
280.1134922260286740.2269844520573480.886507773971326
290.07707297180315610.1541459436063120.922927028196844
300.1137143032774930.2274286065549850.886285696722507
310.1021958382908230.2043916765816470.897804161709177
320.1287641384449800.2575282768899590.87123586155502
330.0957115075307660.1914230150615320.904288492469234
340.0867177372517970.1734354745035940.913282262748203
350.09125707123133780.1825141424626760.908742928768662
360.08278982179032530.1655796435806510.917210178209675
370.07150297552112170.1430059510422430.928497024478878
380.06210590923566780.1242118184713360.937894090764332
390.06027710047909830.1205542009581970.939722899520902
400.04004788750320210.08009577500640420.959952112496798
410.02534377199508780.05068754399017560.974656228004912
420.03009042086435910.06018084172871810.96990957913564
430.03519808904337040.07039617808674080.96480191095663
440.1769604829573530.3539209659147060.823039517042647
450.2033006784689980.4066013569379960.796699321531002
460.1550906529720550.3101813059441100.844909347027945
470.1581063218279030.3162126436558050.841893678172097
480.1775411061560110.3550822123120210.82245889384399
490.3495039718482230.6990079436964470.650496028151777
500.3011081245596510.6022162491193030.698891875440349
510.3053390012606550.6106780025213090.694660998739345
520.2951853612452240.5903707224904470.704814638754776
530.2188533147933560.4377066295867120.781146685206644
540.1933419173380990.3866838346761990.8066580826619
550.1312133428011700.2624266856023390.86878665719883
560.2061554239214930.4123108478429850.793844576078507
570.1637115402329660.3274230804659310.836288459767034
580.150323224186320.300646448372640.84967677581368
590.09496259256672160.1899251851334430.905037407433278


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 level60.136363636363636NOK