Multiple Linear Regression - Estimated Regression Equation
MontlyBirths[t] = + 3873.05299620334 + 0.124837319271829Y1[t] + 0.164886202883664Y2[t] + 0.243791599857208Y3[t] + 0.061698643855855Y4[t] -777.007128192618M1[t] + 184.930867387297M2[t] -260.922022455930M3[t] -1.62807770930776M4[t] -194.014625014349M5[t] + 383.21533040592M6[t] + 170.916446059259M7[t] -137.978095175717M8[t] -156.218164109860M9[t] -891.354225854479M10[t] -335.846833482281M11[t] + 5.57076871659979t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3873.052996203341593.6497662.43030.0184390.00922
Y10.1248373192718290.1435380.86970.3883050.194152
Y20.1648862028836640.1363561.20920.2318420.115921
Y30.2437915998572080.1369731.77980.0807280.040364
Y40.0616986438558550.1454350.42420.6730790.336539
M1-777.007128192618209.213307-3.71390.0004850.000242
M2184.930867387297235.637510.78480.4359940.217997
M3-260.922022455930173.883914-1.50060.1392960.069648
M4-1.62807770930776239.647222-0.00680.9946050.497302
M5-194.014625014349219.030577-0.88580.379660.18983
M6383.21533040592190.3282412.01340.0490630.024532
M7170.916446059259207.8565460.82230.4145330.207267
M8-137.978095175717234.700635-0.58790.5590570.279528
M9-156.218164109860214.477531-0.72840.4695360.234768
M10-891.354225854479190.692187-4.67432e-051e-05
M11-335.846833482281219.28128-1.53160.1314640.065732
t5.570768716599792.5409082.19240.0326780.016339


Multiple Linear Regression - Regression Statistics
Multiple R0.88379075383939
R-squared0.781086096571998
Adjusted R-squared0.716222717778516
F-TEST (value)12.0420198747107
F-TEST (DF numerator)16
F-TEST (DF denominator)54
p-value1.57818202950466e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation271.206316240123
Sum Squared Residuals3971854.76230103


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
185878628.08126909303-41.0812690930296
297319522.47801426446208.521985735539
395639195.24509608876367.754903911242
499989386.6032728793611.396727120699
594379433.964804028933.03519597107351
61003810048.0835501038-10.0835501037805
799189919.56547730846-1.56547730845515
892529590.42965696794-338.429656967944
997379586.73817008037150.261829919629
1090358815.73065875317219.269341246828
1191339199.37378734412-66.3737873441204
1294879514.42296153005-27.4229615300546
1387008662.120000129237.8799998708072
1496279570.330638778856.6693612212096
1589479208.35596439503-261.355964395031
1692839371.15814166392-88.1581416639158
1788299291.60306474299-462.603064742991
1899479764.54576505084182.454234949163
1996289662.48633598754-34.4863359875382
2093189413.73159144578-95.7315914457795
2196059554.3118478638850.6881521361191
2286408800.66970604934-160.669706049338
2392149193.3449309226820.6550690773211
2495679498.1455781645668.8544218354422
2585478647.87008977114-100.870089771143
2691859626.64680502546-441.646805025463
2794709219.30042297578250.699577024220
2891239398.05335929802-275.053359298016
2992789307.51802272002-29.5180227200205
30101709961.29735968273208.702640317269
3194349824.46992263858-390.469922638577
3296559592.7226446682562.277355331751
3394299713.3115435577-284.311543557690
3487398867.57744003605-128.577440036045
3595529313.7213106661238.278689333894
3696879601.3986721676785.6013278323292
3790198798.70773632487220.292263675128
3896729860.71531516047-188.715315160469
3992069474.8808434276-268.880843427592
4090699634.7185848091-565.7185848091
4197889471.94434354768316.055656452324
421031210048.5960193503263.403980649657
43101059963.6848216748141.315178325191
4498639887.75354046728-24.7535404672839
4596569982.85028824658-326.850288246577
4692959169.40643724147125.593562758532
4799469579.51769563261366.48230436739
4897019877.2845404529-176.284540452890
4990499081.82356900593-32.8235690059256
501019010063.9764025058126.023597494212
5197069639.0647335733166.9352664266856
5297659857.57505114765-92.5750511476481
5398939836.258451843656.7415481563922
54999410397.1696571260-403.169657126049
551043310208.6771054769224.322894523107
561007310011.655967379361.3440326206819
571011210058.950653289053.0493467110276
5892669388.1510580412-122.151058041191
5998209789.368137642630.6318623573906
601009710047.748247684849.2517523151726
6191159198.39733567584-83.3973356758363
621041110171.8528242650239.147175734971
6396789833.15293953952-155.152939539525
64104089997.89159020202410.108409797981
651015310036.7113131168116.288686883222
661036810609.3076486863-241.30764868626
671058110520.116336913760.883663086272
681059710261.7065990714335.293400928575
691068010322.8374969625357.162503037491
7097389671.4646998787866.5353001212155
71955610145.6741377919-589.674137791875


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.8333407612291010.3333184775417980.166659238770899
210.7267810587460.5464378825079990.273218941254000
220.6275788725273120.7448422549453770.372421127472688
230.6541685967071940.6916628065856130.345831403292806
240.6226066218705140.7547867562589720.377393378129486
250.5452219044679230.9095561910641540.454778095532077
260.5028408717558620.9943182564882760.497159128244138
270.7292019281983640.5415961436032720.270798071801636
280.6900551440687880.6198897118624250.309944855931212
290.6321827117686660.7356345764626690.367817288231334
300.8009909616416340.3980180767167310.199009038358366
310.7845360117422890.4309279765154220.215463988257711
320.7732045495262510.4535909009474980.226795450473749
330.707078835914350.5858423281713010.292921164085650
340.7030582808766580.5938834382466840.296941719123342
350.7014823372271750.597035325545650.298517662772825
360.6845584392956330.6308831214087330.315441560704367
370.6780457177841360.6439085644317270.321954282215864
380.597005499076310.8059890018473790.402994500923690
390.5180592201632180.9638815596735630.481940779836782
400.73528548943990.52942902112020.2647145105601
410.8182627728491630.3634744543016730.181737227150837
420.8078585947291520.3842828105416960.192141405270848
430.7940648154886170.4118703690227670.205935184511383
440.7512176688956950.4975646622086110.248782331104305
450.6903203906602960.6193592186794090.309679609339704
460.6069082804199360.7861834391601280.393091719580064
470.8392603336776830.3214793326446340.160739666322317
480.749419611199650.50116077760070.25058038880035
490.9240691183140580.1518617633718840.0759308816859418
500.8492058864494050.3015882271011890.150794113550595
510.7518977096028310.4962045807943380.248102290397169


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