Multiple Linear Regression - Estimated Regression Equation
births[t] = + 4290.89132456752 + 131.651523693341difference[t] + 0.108196703969025Y1[t] + 0.154343076203814Y2[t] + 0.237959866862384Y3[t] + 0.0510733953878393Y4[t] -770.958525039385M1[t] + 176.625479263266M2[t] -253.792403401782M3[t] + 9.40421424853412M4[t] -185.287572708533M5[t] + 403.52059922142M6[t] + 199.734827907282M7[t] -101.130816660665M8[t] -119.148713516400M9[t] -847.616376220034M10[t] -304.047680579611M11[t] + 3.22629603458473t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4290.891324567521655.2150492.59230.0122920.006146
difference131.651523693341139.1593860.9460.3484170.174209
Y10.1081967039690250.144750.74750.4580830.229041
Y20.1543430762038140.1369431.12710.2647940.132397
Y30.2379598668623840.1372451.73380.0887620.044381
Y40.05107339538783930.1460090.34980.7278770.363939
M1-770.958525039385209.514566-3.67970.0005470.000274
M2176.625479263266236.0302420.74830.4575770.228788
M3-253.792403401782174.216279-1.45680.151080.07554
M49.40421424853412240.163820.03920.9689120.484456
M5-185.287572708533219.4378-0.84440.4022560.201128
M6403.52059922142191.7187512.10480.0400710.020035
M7199.734827907282210.277040.94990.3464920.173246
M8-101.130816660665238.135869-0.42470.6727910.336396
M9-119.148713516400218.23283-0.5460.5873770.293689
M10-847.616376220034196.396946-4.31587e-053.5e-05
M11-304.047680579611222.053505-1.36930.1766940.088347
t3.226296034584733.5510750.90850.3677060.183853


Multiple Linear Regression - Regression Statistics
Multiple R0.885845071872243
R-squared0.784721491360339
Adjusted R-squared0.715669894249504
F-TEST (value)11.3642772099939
F-TEST (DF numerator)17
F-TEST (DF denominator)53
p-value3.73157060806761e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation271.470354791428
Sum Squared Residuals3905896.13712095


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
185878635.69757280774-48.6975728077437
297319532.2440184306198.755981569396
395639207.37763749757355.622362502429
499989390.7677455605607.232254439491
594379433.623426684543.37657331546353
61003810050.5494885619-12.5494885619189
799189923.36197827739-5.36197827738936
892529594.22065575015-342.220655750149
997379603.21058611289133.789413887114
1090358829.79205872168205.207941278322
1191339210.8792773924-77.8792773923923
1294879501.80334560043-14.8033456004296
1387008645.2211414943554.7788585056529
1496279552.9846281743674.0153718256399
1589479193.86637076807-246.866370768074
1692839360.59712414157-77.597124141572
1788299280.92646834529-451.926468345289
1899479761.23123437048185.768765629523
1996289656.7885239338-28.7885239337919
2093189406.31686732497-88.3168673249673
2196059551.6006566104753.3993433895307
2286408790.75624887185-150.756248871851
2392149187.3779122311826.6220877688152
2495679460.2774576062106.722542393806
2585478604.35838379756-57.3583837975583
2691859586.59428901608-401.594289016078
2794709184.318223745285.681776254997
2891239355.35792505138-232.357925051385
2992789270.059486332347.94051366765665
30101709925.71078428258244.289215717422
3194349777.56978963927-343.569789639273
3296559557.133002122697.8669978773998
3394299672.83294631896-243.832946318959
3487398827.66795106919-88.6679510691908
3595529279.92479335465272.075206645353
3696879657.8257818781829.1742181218188
3790198854.4461333702164.553866629796
3896729912.03807968516-240.038079685155
3992069526.04501831905-320.045018319052
4090699690.77201402876-621.772014028764
4197889533.8304660936254.169533906392
421031210104.9749920023207.02500799766
431010510015.682557382289.3174426177814
4498639940.61835216399-77.6183521639874
45965610029.1068737279-373.106873727889
4692959221.6225316386473.3774683613571
4799469629.25101578066316.748984219336
4897019889.62574204475-188.625742044747
4990499099.38695839362-50.3869583936155
501019010078.3133316655111.686668334486
5197069648.8911115950257.1088884049797
5297659871.38945544317-106.389455443170
5398939849.8178754693243.1821245306768
54999410407.9099316141-413.909931614052
551043310227.3543459666205.645654033375
561007310026.274194458546.7258055414821
571011210070.859731824741.1402681752623
5892669403.89732366386-137.897323663865
5998209801.9329522578318.0670477421700
601009710029.467672870467.5323271295508
6191159177.88981013653-62.8898101365311
621041110153.8256530283257.174346971711
6396789809.50163807528-131.501638075280
64104089977.1157357746430.884264225401
651015310009.7422770749143.257722925100
661036810578.6235691686-210.623569168634
671058110498.242804800782.7571951992975
681059710233.4369281798363.563071820222
691068010291.3892054051388.610794594942
7097389639.2638860347798.736113965228
71955610111.6340489833-555.634048983283


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.8221224555982070.3557550888035860.177877544401793
220.7262390836322230.5475218327355540.273760916367777
230.7340834756061550.5318330487876910.265916524393845
240.6974266693693470.6051466612613060.302573330630653
250.62120751311840.7575849737632010.378792486881600
260.5674769132469120.8650461735061770.432523086753088
270.777671026723140.4446579465537210.222328973276860
280.7377038536847810.5245922926304370.262296146315219
290.6740844076679490.6518311846641010.325915592332051
300.8519401210440330.2961197579119350.148059878955967
310.8132355235351330.3735289529297330.186764476464867
320.8037900939474870.3924198121050270.196209906052513
330.7292035962809340.5415928074381330.270796403719066
340.71554540232280.5689091953543990.284454597677199
350.6986932432881730.6026135134236540.301306756711827
360.6115776243086710.7768447513826590.388422375691329
370.5582456271529260.8835087456941470.441754372847074
380.4956085560927820.9912171121855650.504391443907218
390.437674333483930.875348666967860.56232566651607
400.6932033044403480.6135933911193040.306796695559652
410.7398541246543320.5202917506913360.260145875345668
420.707813199336020.584373601327960.29218680066398
430.6741270047399750.6517459905200490.325872995260025
440.6138299908905360.7723400182189270.386170009109464
450.5357935911481360.9284128177037270.464206408851864
460.4409961864350530.8819923728701060.559003813564947
470.7147644294360410.5704711411279170.285235570563959
480.5866264613436110.8267470773127790.413373538656389
490.8226081355695150.3547837288609700.177391864430485
500.6964647161057980.6070705677884040.303535283894202


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