Multiple Linear Regression - Estimated Regression Equation
births[t] = + 9551.32375478927 + 483.352490421457difference[t] + 87.0966064586708M1[t] -645.046250684182M2[t] -286.331964969896M3[t] -79.3333333333332M4[t] -956.833333333333M5[t] + 9.66666666666673M6[t] -364.666666666667M7[t] -185.333333333333M8[t] -230M9[t] + 345.166666666667M10[t] + 223.5M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9551.32375478927122.52293777.955400
difference483.35249042145766.870187.228200
M187.0966064586708160.7043630.5420.5897830.294892
M2-645.046250684182160.704363-4.01390.0001648.2e-05
M3-286.331964969896160.704363-1.78170.0796910.039845
M4-79.3333333333332166.69712-0.47590.6358090.317905
M5-956.833333333333166.69712-5.7400
M69.66666666666673166.697120.0580.9539440.476972
M7-364.666666666667166.69712-2.18760.0324780.016239
M8-185.333333333333166.69712-1.11180.2705180.135259
M9-230166.69712-1.37970.172620.08631
M10345.166666666667166.697122.07060.0425640.021282
M11223.5166.697121.34080.1848920.092446


Multiple Linear Regression - Regression Statistics
Multiple R0.850890991214296
R-squared0.724015478929646
Adjusted R-squared0.670599120012804
F-TEST (value)13.5541900198922
F-TEST (DF numerator)12
F-TEST (DF denominator)62
p-value3.70481423317415e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation288.727881972289
Sum Squared Residuals5168554.96934866


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009638.4203612479861.5796387520246
290818906.27750410509174.722495894910
390849264.99178981938-180.991789819376
497439471.99042145594271.009578544062
585878594.49042145594-7.49042145593836
697319560.99042145594170.009578544062
795639186.6570881226376.342911877395
899989365.99042145594632.009578544062
994379321.32375478927115.676245210728
10100389896.49042145594141.509578544062
1199189774.82375478927143.176245210728
1292529551.32375478927-299.323754789272
1397379638.4203612479498.5796387520576
1490358906.27750410509128.72249589491
1591339264.99178981938-131.991789819376
1694879471.9904214559415.0095785440616
1787008594.49042145594105.509578544062
1896279560.9904214559466.0095785440617
1989479186.6570881226-239.657088122605
2092839365.99042145594-82.9904214559383
2188299321.32375478927-492.323754789272
2299479896.4904214559450.5095785440617
2396289774.82375478927-146.823754789272
2493189551.32375478927-233.323754789272
2596059638.42036124794-33.4203612479425
2686408906.27750410509-266.27750410509
2792149264.99178981938-50.9917898193758
2895679471.9904214559495.0095785440616
2985478594.49042145594-47.4904214559383
3091859560.99042145594-375.990421455938
3194709186.6570881226283.342911877395
3291239365.99042145594-242.990421455938
3392789321.32375478927-43.3237547892717
34101709896.49042145594273.509578544062
3594349774.82375478927-340.823754789272
3696559551.32375478927103.676245210728
3794299638.42036124794-209.420361247942
3887398906.27750410509-167.277504105090
3995529264.99178981938287.008210180624
4096879955.3429118774-268.342911877395
4190199077.8429118774-58.8429118773951
42967210044.3429118774-372.342911877395
4392069670.00957854406-464.009578544062
4490699849.3429118774-780.342911877395
4597889804.67624521073-16.6762452107284
461031210379.8429118774-67.842911877395
471010510258.1762452107-153.176245210728
48986310034.6762452107-171.676245210728
49965610121.7728516694-465.772851669399
5092959389.62999452655-94.6299945265467
5199469748.34428024083197.655719759168
5297019955.3429118774-254.342911877395
5390499077.8429118774-28.8429118773951
541019010044.3429118774145.657088122605
5597069670.0095785440635.9904214559383
5697659849.3429118774-84.342911877395
5798939804.6762452107388.3237547892717
58999410379.8429118774-385.842911877395
591043310258.1762452107174.823754789272
601007310034.676245210738.3237547892717
611011210121.7728516694-9.77285166939906
6292669389.62999452655-123.629994526547
6398209748.3442802408371.6557197591676
64100979955.3429118774141.657088122605
6591159077.842911877437.157088122605
661041110044.3429118774366.657088122605
6796789670.009578544067.99042145593837
68104089849.3429118774558.657088122605
69101539804.67624521073348.323754789272
701036810379.8429118774-11.8429118773950
711058110258.1762452107322.823754789272
721059710034.6762452107562.323754789272
731068010121.7728516694558.227148330601
7497389389.62999452655348.370005473453
7595569748.34428024083-192.344280240832


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.06288640862177650.1257728172435530.937113591378224
170.02525383805256090.05050767610512180.97474616194744
180.009709586528434060.01941917305686810.990290413471566
190.1485793198703770.2971586397407540.851420680129623
200.3755551605108330.7511103210216660.624444839489167
210.5089104147038150.982179170592370.491089585296185
220.4060945543763840.8121891087527680.593905445623616
230.3469738124610590.6939476249221190.653026187538941
240.2723848619083570.5447697238167150.727615138091643
250.2014539213233310.4029078426466620.798546078676669
260.2206290849021420.4412581698042850.779370915097858
270.1620104284141250.3240208568282500.837989571585875
280.1176280502607680.2352561005215360.882371949739232
290.08026463706497530.1605292741299510.919735362935025
300.1162859254729230.2325718509458450.883714074527077
310.1073010413915320.2146020827830630.892698958608468
320.1341888956003020.2683777912006040.865811104399698
330.099058934135770.198117868271540.90094106586423
340.09479006990057120.1895801398011420.905209930099429
350.09513373287518950.1902674657503790.90486626712481
360.0862493058258130.1724986116516260.913750694174187
370.07127026395842150.1425405279168430.928729736041578
380.05896492493722180.1179298498744440.941035075062778
390.05718578360216410.1143715672043280.942814216397836
400.03931459807165310.07862919614330630.960685401928347
410.02828281665721070.05656563331442140.97171718334279
420.03141779110549750.0628355822109950.968582208894503
430.03479141111058620.06958282222117250.965208588889414
440.1762108076853400.3524216153706790.82378919231466
450.2018131266106890.4036262532213780.798186873389311
460.1542503535968750.3085007071937490.845749646403125
470.1585107080377670.3170214160755350.841489291962233
480.1794247766376480.3588495532752950.820575223362352
490.3507097798013180.7014195596026360.649290220198682
500.3035535552079020.6071071104158040.696446444792098
510.3106273209864650.621254641972930.689372679013535
520.2952660140050510.5905320280101030.704733985994949
530.2191458075596740.4382916151193480.780854192440326
540.1942139204405460.3884278408810930.805786079559454
550.1320944280205700.2641888560411390.86790557197943
560.2074674739514530.4149349479029060.792532526048547
570.165151568938780.330303137877560.83484843106122
580.1511905292440990.3023810584881990.8488094707559
590.09578683799322590.1915736759864520.904213162006774


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0227272727272727OK
10% type I error level60.136363636363636NOK