Multiple Linear Regression - Estimated Regression Equation
Birth[t] = + 9433.57874165147 + 302.401411657555x[t] + 98.9596904183565M1[t] -638.140798927342M2[t] -284.384145415907M3[t] + 10.727959565733M4[t] -922.129907913377M5[t] + 39.4124598837721M6[t] -339.878505652412M7[t] -165.50280452193M8[t] -215.127103391447M9[t] + 355.081931072368M10[t] + 228.457632202851M11[t] + 4.95763220285092t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9433.57874165147139.58371167.583700
x302.401411657555132.8235292.27670.0263240.013162
M198.9596904183565157.7955110.62710.5329090.266454
M2-638.140798927342157.688002-4.04690.0001497.4e-05
M3-284.384145415907157.639891-1.8040.0761670.038084
M410.727959565733163.9678490.06540.9480480.474024
M5-922.129907913377164.913195-5.59161e-060
M639.4124598837721164.5433430.23950.8115010.40575
M7-339.878505652412164.229741-2.06950.0427390.02137
M8-165.50280452193163.972711-1.00930.3168030.158401
M9-215.127103391447163.77252-1.31360.1939090.096955
M10355.081931072368163.6293762.170.0339080.016954
M11228.457632202851163.543431.39690.1674980.083749
t4.957632202850923.061551.61930.1105370.055269


Multiple Linear Regression - Regression Statistics
Multiple R0.85949714743181
R-squared0.73873534644342
Adjusted R-squared0.683055994046116
F-TEST (value)13.2676713114786
F-TEST (DF numerator)13
F-TEST (DF denominator)61
p-value2.94209101525666e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation283.215891843633
Sum Squared Residuals4892885.72495986


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009537.49606427275162.503935727248
290818805.35320712984275.646792870157
390849164.06749284413-80.0674928441278
497439464.13723002862278.862769971378
585878536.2369947523650.7630052476382
697319502.73699475236228.263005247639
795639128.40366141903434.596338580973
899989307.73699475236690.263005247639
994379263.0703280857173.929671914305
10100389838.23699475236199.763005247639
1199189716.5703280857201.429671914305
1292529493.0703280857-241.070328085695
1397379596.9876507069140.012349293097
1490358864.84479356405170.155206435946
1591339223.55907927834-90.55907927834
1694879523.62881646283-36.6288164628315
1787008595.72858118657104.271418813428
1896279562.2285811865764.7714188134276
1989479187.89524785324-240.895247853239
2092839367.22858118657-84.2285811865722
2188299322.5619145199-493.561914519906
2299479897.7285811865749.2714188134276
2396289776.0619145199-148.061914519906
2493189552.5619145199-234.561914519906
2596059656.47923714111-51.4792371411137
2686408924.33637999827-284.336379998265
2792149283.05066571255-69.0506657125511
2895679583.12040289704-16.1204028970426
2985478655.22016762078-108.220167620784
3091859621.72016762078-436.720167620783
3194709247.38683428745222.613165712550
3291239426.72016762078-303.720167620783
3392789382.05350095412-104.053500954117
34101709957.22016762078212.779832379217
3594349835.55350095412-401.553500954117
3696559612.0535009541242.946499045883
3794299715.97082357532-286.970823575325
3887398983.82796643248-244.827966432476
3995529342.54225214676209.457747853238
4096879642.6119893312544.3880106687463
4190199017.113165712551.88683428745027
4296729983.61316571255-311.61316571255
4392069609.27983237922-403.279832379217
4490699788.61316571255-719.613165712549
4597889743.9464990458844.0535009541169
461031210319.1131657125-7.11316571254994
471010510197.4464990459-92.4464990458831
4898639973.94649904588-110.946499045883
49965610077.8638216671-421.863821667091
5092959345.72096452424-50.7209645242425
5199469704.43525023853241.564749761472
52970110004.5049874230-303.50498742302
5390499076.60475214676-27.6047521467608
541019010043.1047521468146.895247853239
5597069668.7714188134337.2285811865722
5697659848.10475214676-83.1047521467606
5798939803.438085480189.5619145199058
58999410378.6047521468-384.604752146761
591043310256.9380854801176.061914519906
601007310033.438085480139.5619145199056
611011210137.3554081013-25.3554081013022
6292669405.21255095845-139.212550958454
6398209763.9268366727456.0731633272605
641009710063.996573857233.003426142769
6591159136.09633858097-21.0963385809719
661041110102.5963385810308.403661419028
6796789728.26300524764-50.2630052476388
68104089907.59633858097500.403661419028
69101539862.9296719143290.070328085695
701036810438.0963385810-70.0963385809721
711058110316.4296719143264.570328085695
721059710092.9296719143504.070328085695
731068010196.8469945355483.153005464487
7497389464.70413739267273.295862607335
7595569823.41842310695-267.418423106951


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1285587015003820.2571174030007640.871441298499618
180.05842722843325470.1168544568665090.941572771566745
190.3319025176170990.6638050352341990.6680974823829
200.5502171503570530.8995656992858950.449782849642947
210.5860660007307720.8278679985384560.413933999269228
220.5126328855930360.9747342288139280.487367114406964
230.4070429684976830.8140859369953670.592957031502317
240.3697779123853740.7395558247707490.630222087614626
250.3181783627121170.6363567254242340.681821637287883
260.2487337084782920.4974674169565830.751266291521708
270.2795981489592710.5591962979185420.720401851040729
280.239375423181310.478750846362620.76062457681869
290.1798230489537850.359646097907570.820176951046215
300.1975077304201860.3950154608403710.802492269579814
310.2942787716571670.5885575433143350.705721228342833
320.283274343346540.566548686693080.71672565665346
330.2864763586346480.5729527172692950.713523641365352
340.3658482829280860.7316965658561710.634151717071914
350.3700012530676770.7400025061353530.629998746932323
360.4385416235616710.8770832471233430.561458376438329
370.3903702613493090.7807405226986180.609629738650691
380.3663153967082890.7326307934165790.633684603291711
390.4571630001144080.9143260002288160.542836999885592
400.3966432978009920.7932865956019840.603356702199008
410.3624875531335240.7249751062670490.637512446866476
420.3254594073420820.6509188146841650.674540592657918
430.2990903272145120.5981806544290250.700909672785488
440.5616610547549460.8766778904901080.438338945245054
450.5779744136883250.8440511726233490.422025586311675
460.6405627530769580.7188744938460850.359437246923042
470.5759033522105720.8481932955788570.424096647789428
480.5122041525513370.9755916948973250.487795847448663
490.5694732294155180.8610535411689650.430526770584482
500.491267770975150.98253554195030.50873222902485
510.7844399266724790.4311201466550420.215560073327521
520.7118345989628270.5763308020743460.288165401037173
530.6540750349062630.6918499301874750.345924965093737
540.5883259143801740.8233481712396520.411674085619826
550.5829283548271840.8341432903456320.417071645172816
560.5601990893253490.8796018213493010.439800910674651
570.4299385108926810.8598770217853620.570061489107319
580.2946440393246480.5892880786492970.705355960675352


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