Multiple Linear Regression - Estimated Regression Equation
Births[t] = + 3513.15322119259 + 1.81853714940414e-07`Y-1`[t] + 0.375914107327586`Y-2`[t] + 0.238512132682298`Y-3`[t] + 0.0192032651388202`Y-4`[t] -455.243573208415M1[t] -340.490770887514M2[t] -1.15456343944968M3[t] -131.707497084488M4[t] -175.963277570170M5[t] + 308.85928331459M6[t] + 125.997921695407M7[t] -124.082645567172M8[t] -162.455132647671M9[t] -554.306360664536M10[t] -649.343791013937M11[t] + 5.95960793016406t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3513.153221192591973.9158591.77980.0807380.040369
`Y-1`1.81853714940414e-0700.45290.6524540.326227
`Y-2`0.3759141073275860.130562.87920.0057030.002851
`Y-3`0.2385121326822980.1305481.8270.0732280.036614
`Y-4`0.01920326513882020.1132520.16960.8659880.432994
M1-455.243573208415238.441023-1.90930.0615490.030775
M2-340.490770887514234.199356-1.45390.1517750.075888
M3-1.15456343944968221.399277-0.00520.9958580.497929
M4-131.707497084488239.726328-0.54940.5849910.292495
M5-175.963277570170227.913236-0.77210.4434430.221722
M6308.85928331459230.0774651.34240.1850780.092539
M7125.997921695407227.7739260.55320.5824290.291215
M8-124.082645567172255.842326-0.4850.6296410.31482
M9-162.455132647671238.882886-0.68010.4993710.249685
M10-554.306360664536241.348727-2.29670.0255410.01277
M11-649.343791013937233.390116-2.78220.0074220.003711
t5.959607930164063.1143151.91360.0609760.030488


Multiple Linear Regression - Regression Statistics
Multiple R0.783419237471422
R-squared0.613745701640305
Adjusted R-squared0.499299983607802
F-TEST (value)5.36276683996165
F-TEST (DF numerator)16
F-TEST (DF denominator)54
p-value1.45945058027674e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation360.796934403332
Sum Squared Residuals7029419.10524147


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
185878830.87512741333-243.875127413334
297319188.14343944753542.856560552469
395639256.11986002877306.88013997123
499989298.50716889098699.492831109024
594379447.71641069886-10.7164106988626
61003810083.9196112095-45.9196112095373
799189796.6567817773121.343218222697
892529653.00829302694-401.008293026938
997379708.058359881928.9416401180976
1090359054.72773894064-19.7277389406363
1191338986.8146587309146.185341269097
1294879481.115381921165.88461807883782
1387008910.54912998658-210.549129986584
1496279174.22848798815452.771512011846
1589479309.9952844311-362.995284431105
1692839352.96311998655-69.9631199865498
1788299265.03319288336-436.03319288336
1899479737.7355957585209.264404241509
1996289457.25089694206170.749103057944
2093189531.56964043943-213.569640439427
2196059637.17838664272-32.1783866427248
2286409080.13732557604-440.137325576037
2392149018.88207376019195.117926239815
2495679373.92843340398193.071566596016
2585478915.76635898255-368.766358982553
2691859287.55107693014-102.551076930144
2794709344.63207588344125.367924116561
2891239223.36837972993-100.368379729933
2992789424.79107486925-146.791074869247
30101709865.35871760185304.641282398153
3194349669.43303328592-235.433033285924
3296559790.93317140797-135.933171407967
3394299697.57687790333-268.576877903327
3487399236.34661728674-497.346617286739
3595529100.88965931302451.110340686979
3696879447.15265165764239.847348342362
3790199134.5735707148-115.573570714807
3896729486.69437490174185.305625098264
3992069628.69107780558-422.691077805584
4090699592.83591559376-523.835915593758
4197889522.28438563844265.715614361565
42103129862.959530808449.040469192
43101059914.7152318467190.284768153303
4498639862.998920774040.00107922596195564
45986310008.3596619558-145.359661955810
4696569682.1354607746-26.1354607745962
4792959448.00957531412-153.009575314117
4899469955.25822341259-9.25822341259005
4997019342.808297834358.191702165993
5090499612.84348717567-563.843487175672
511019010022.4446187094167.555381290614
5297069596.77804794262109.221952057380
5397659833.82940310084-68.8294031008421
54989310423.2417314850-530.241731485028
55999410146.1658857374-152.165885737405
56104339964.98309367881468.016906321184
57100739984.8212098782488.1787901217598
58101129798.68415172883313.315848271169
5992669684.30338845494-418.303388454939
60982010249.5453096046-429.545309604625
61100979516.42751506872580.572484931285
6291159629.53913355676-514.539133556763
631041110225.1170831417185.882916858284
6496789792.54736785616-114.547367856164
651040810011.3455328093396.654467190746
661015310539.7848131371-386.784813137097
671036810462.7781704106-94.7781704106148
681058110298.5068806728282.493119327186
691059710268.005503738328.994496262004
701068010009.9687056932670.03129430684
7197389959.10064442684-221.100644426835


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.5164043622813810.9671912754372380.483595637718619
210.3485180621931770.6970361243863550.651481937806823
220.2465224630150290.4930449260300570.753477536984971
230.2541619054573670.5083238109147350.745838094542633
240.1956530388407790.3913060776815590.80434696115922
250.1460174413329070.2920348826658140.853982558667093
260.1154240676435500.2308481352870990.88457593235645
270.1902916401004420.3805832802008840.809708359899558
280.1579972886287360.3159945772574730.842002711371264
290.1228334558360400.2456669116720790.87716654416396
300.1869859311744290.3739718623488590.81301406882557
310.1420600022644490.2841200045288990.85793999773555
320.1336970843646490.2673941687292980.866302915635351
330.09187512291259840.1837502458251970.908124877087402
340.1291759925077540.2583519850155090.870824007492246
350.1835618316108210.3671236632216420.81643816838918
360.1868015897444210.3736031794888410.81319841025558
370.2455315026371440.4910630052742880.754468497362856
380.5598188861584550.8803622276830910.440181113841545
390.8929382108212390.2141235783575230.107061789178761
400.8993114978277860.2013770043444290.100688502172214
410.9463300068811840.1073399862376310.0536699931188156
420.9418879144435470.1162241711129060.0581120855564532
430.9247947911087860.1504104177824270.0752052088912137
440.8843397284801720.2313205430396550.115660271519828
450.8194372940036030.3611254119927950.180562705996397
460.8028169936432110.3943660127135770.197183006356789
470.7688044119445240.4623911761109520.231195588055476
480.8855730404605960.2288539190788080.114426959539404
490.8408175970728490.3183648058543030.159182402927151
500.8045282045373750.3909435909252510.195471795462625
510.7383777509053510.5232444981892980.261622249094649


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