Multiple Linear Regression - Estimated Regression Equation
Births[t] = + 5632.42646760897 + 233.327295316956x[t] + 0.184925679115300`y-1`[t] + 0.141855719535449`y-2`[t] + 485.518122007314M1[t] + 884.077057591996M2[t] -117.371735721934M3[t] + 921.654299160091M4[t] + 567.78584832305M5[t] + 616.785989141178M6[t] + 611.199861323609M7[t] + 1154.83556367848M8[t] + 916.246498776956M9[t] + 598.938676886247M10[t] + 725.272206498409M11[t] + 4.70384799637204t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5632.426467608971521.6957853.70140.0004850.000242
x233.327295316956122.0614091.91160.0609650.030483
`y-1`0.1849256791153000.1301781.42060.1608920.080446
`y-2`0.1418557195354490.1292051.09790.2768610.13843
M1485.518122007314176.8272972.74570.0080640.004032
M2884.077057591996177.4633224.98176e-063e-06
M3-117.371735721934157.726562-0.74410.4598440.229922
M4921.654299160091196.2524074.69631.7e-059e-06
M5567.78584832305191.7117592.96170.0044550.002228
M6616.785989141178162.795023.78870.0003670.000184
M7611.199861323609159.6182773.82910.0003220.000161
M81154.83556367848157.8430797.316400
M9916.246498776956162.9942815.62131e-060
M10598.938676886247161.3985893.71090.0004710.000235
M11725.272206498409158.072794.58822.5e-051.3e-05
t4.703847996372042.453331.91730.0602120.030106


Multiple Linear Regression - Regression Statistics
Multiple R0.882356647284765
R-squared0.77855325300761
Adjusted R-squared0.720277793272771
F-TEST (value)13.3598817847191
F-TEST (DF numerator)15
F-TEST (DF denominator)57
p-value1.54876111935209e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation267.664628275107
Sum Squared Residuals4083728.13409011


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
190849204.61931413246-120.619314132463
297439493.83866949976249.161330500238
385878591.13142039341-4.13142039341149
497319592.74211402581138.257885974188
595639192.08636927641370.91363072359
699989433.51357411686564.486425883143
794379463.2710182022-26.2710182022101
81003810012.472180309225.5278196907818
999189760.0989448612157.901055138809
1092529541.6126177709-289.612617770896
1197379555.98300467498181.016995325014
1290358781.05416785685253.945832143149
1391339261.38237711757-128.382377117572
1494879548.72919447416-61.7291944741601
1587008620.3238904254579.6761095745493
1696279617.877012436279.12298756373444
1789479254.67615214122-307.676152141217
1892839383.3443562115-100.344356211494
1988299304.3761363558-475.376136355804
2099479850.448218220796.5517817793093
2196289691.20143743783-63.2014374378281
2293189540.09239826259-222.092398262588
2396059568.1632111773536.8367888226475
2486408830.98048365625-190.980483656246
2592149237.38535421432-23.385354214315
2695679543.6200404624523.3799595375478
2785478703.09750395309-156.09750395309
2891859667.41331763303-482.413317633031
2994709220.12847115837249.871528841628
3091239432.24392331603-309.243923316035
3192789434.8415273639-156.841527363899
32101709940.99950359012229.000496409876
3394349862.31306877347-428.313068773467
3496559610.2569910718944.7430089281129
3594299636.5391828689-207.539182868895
3687398924.78000683633-185.780006836327
3795529275.3283268805276.671673119504
3896879666.3210918543120.6789081456868
3990198839.07124579478179.92875420522
4096729813.00647470406-141.006474704063
4192069432.94330307102-226.943303071022
4290699541.2989950443-472.298995044292
4397889434.80711517901353.192884820990
441031210059.8061098374252.193890162559
451010510033.214853252871.7851467472319
4698639788.1478012710174.8521987289898
4796569846.5764791751-190.576479175099
4892959051.89197238332243.108027616679
4999469452.62441205784493.375587942157
5097019881.47709889585-180.477098895851
5190498970.3641193961778.6358806038313
52101909876.2972817542313.702718245795
5397069568.4185121203137.581487879692
5497659764.46453255020.535467449793721
5598939682.4477114898210.552288510204
56999410259.8554090094-265.855409009376
571043310297.2954020210135.704597978978
581007310065.64358259347.35641740660755
591011210226.7952743008-114.795274300782
6092669445.18604437912-179.186044379119
6198209822.61017714131-2.61017714131218
621009710148.0139048135-51.0139048134611
6391159293.0118200371-178.011820037099
641041110248.6637994466162.336200553376
6596789901.74719223267-223.747192232672
661040810091.1346187611316.865381238885
671015310058.256491409394.7435085907183
681036810705.4185790332-337.418579033151
691058110454.8762936537126.123706346277
701059710212.2466090302384.753390969774
711068010384.9428478029295.057152197114
7297389679.1073248881358.8926751118645
73955610051.050038456-495.050038455999


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.7224169581326890.5551660837346220.277583041867311
200.6947572757015640.6104854485968720.305242724298436
210.5973929112437310.8052141775125370.402607088756269
220.5839222380972660.8321555238054670.416077761902734
230.4765264609634690.9530529219269390.523473539036531
240.3836829460826480.7673658921652950.616317053917352
250.5099189477509970.9801621044980060.490081052249003
260.4313908234016170.8627816468032330.568609176598383
270.3360677723548450.6721355447096890.663932227645155
280.3445185561014320.6890371122028650.655481443898568
290.4978217835781870.9956435671563730.502178216421813
300.4629611577243570.9259223154487140.537038842275643
310.4071675224648350.814335044929670.592832477535165
320.5325596604797880.9348806790404240.467440339520212
330.531612460765550.93677507846890.46838753923445
340.5640350484060480.8719299031879040.435964951593952
350.5321931769386360.9356136461227280.467806823061364
360.4652823945518280.9305647891036560.534717605448172
370.5746058581586260.8507882836827480.425394141841374
380.5132674481299860.9734651037400270.486732551870014
390.5520885458377630.8958229083244740.447911454162237
400.4684357324812620.9368714649625240.531564267518738
410.4069842182526470.8139684365052930.593015781747353
420.694465028399640.6110699432007210.305534971600361
430.7444969653575790.5110060692848420.255503034642421
440.7285284430014070.5429431139971860.271471556998593
450.661224874519980.6775502509600390.338775125480020
460.5919435907826320.8161128184347370.408056409217368
470.6349658790461980.7300682419076040.365034120953802
480.5508373401445580.8983253197108840.449162659855442
490.785905115687970.4281897686240610.214094884312031
500.6951630371459050.609673925708190.304836962854095
510.605151700201580.789696599596840.39484829979842
520.5150269006034770.9699461987930460.484973099396523
530.5820996732887380.8358006534225240.417900326711262
540.4083644864098240.8167289728196490.591635513590176


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