Multiple Linear Regression - Estimated Regression Equation
Monthyly[t] = + 9.40744240441428 -0.000940994338385571births[t] + 0.0160487382337095t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.407442404414280.13663868.849600
births-0.0009409943383855710.000185-5.09273e-061e-06
t0.01604873823370950.0022966.991100


Multiple Linear Regression - Regression Statistics
Multiple R0.695540690081146
R-squared0.483776851558557
Adjusted R-squared0.469633751601257
F-TEST (value)34.2058567795713
F-TEST (DF numerator)2
F-TEST (DF denominator)73
p-value3.30040439422419e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.436851007453688
Sum Squared Residuals13.931232598071


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
198.787378969899330.212621030100674
288.83542151563816-0.835421515638162
399.07730889508441-0.0773088950844086
498.897630810933920.10236918906608
599.21103376009747-0.211033760097469
699.0821693702198-0.0821693702198009
7109.219606378105250.780393621894751
899.02016741284866-0.0201674128486628
998.798144583470820.201855416529177
1099.00709716107357-0.00709716107357431
1188.7154407506552-0.715440750655202
1298.898045486783160.101954513216842
1398.835991694930860.164008305069135
1499.51450044738802-0.514500447388016
1598.912315905302410.0876840946975945
1699.24924371292559-0.249243712925595
1799.52782987156888-0.527829871568878
1898.835309872998250.164690127001747
19109.294566944611570.705433055388434
20109.531749352365890.468250647634115
2198.817586484012390.182413515987609
2298.968197412635240.0318025873647626
2399.37287681262219-0.372876812622188
24109.668400869356410.331599130643588
2599.00975666696767-0.0097566669676668
2699.66285857228841-0.662858572288408
27109.546227108809750.453772891190248
2899.08613271182036-0.0861327118203623
2998.974206220033630.0257937799663659
30109.843736823183060.156263176816944
31109.827791753911660.172208246088344
32109.411924090826390.588075909173611
33109.741323943742490.258676056257507
34109.733847823516560.266152176483436
3599.55605172804285-0.556051728042845
3699.07901943296252-0.0790194329625158
37109.852568613596610.14743138640339
3899.80557073115849-0.805570731158486
39109.587311879134190.412688120865812
4099.33705921960478-0.337059219604781
41109.604353446187440.395646553812562
42109.817070001143730.182929998856268
43109.679736662220590.320263337779407
44109.511350510130730.488649489869269
45109.475644559753230.524355440246766
46109.406062813193860.593937186806144
4799.37882581186183-0.37882581186183
4899.47485906885831-0.474859068858313
491010.0451534724011-0.0451534724011233
5099.998155589963-0.998155589963
51109.77989673793870.220103262061298
5299.52964407840929-0.529644078409295
53109.871276857724410.128723142275588
5499.79322616211956-0.793226162119564
55109.91184328323730.0881567167626992
5699.64653471429373-0.646534714293725
57109.814083541007510.185916458992489
581010.2328778560702-0.232877856070245
59109.493308140580340.506691859419659
601110.19816473451230.801835265487712
611010.0250736107305-0.0250736107304978
62109.61767489669070.3823251033093
6399.58479192932836-0.58479192932836
641010.2313068742804-0.231306874280402
65109.56325272850780.436747271492199
6699.65081703645881-0.650817036458814
671010.2916860153805-0.291686015380543
68109.71114434307780.2888556569222
69109.97561558664530.0243844133546994
70109.922030743838480.0779692561615222
711110.07452366113810.925476338861905
72109.945659271260430.0543407287395735
73109.764099198433170.235900801566834
74109.809318761156830.190681238843172
7599.72185812216813-0.721858122168125
761010.3156773841706-0.315677384170575


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.6634691190689270.6730617618621460.336530880931073
70.7631646242337170.4736707515325660.236835375766283
80.684859012562070.6302819748758610.31514098743793
90.5662209718700910.8675580562598170.433779028129909
100.4790054488049410.9580108976098830.520994551195059
110.562780084174370.8744398316512610.43721991582563
120.4706869693078260.9413739386156520.529313030692174
130.3931699100775250.786339820155050.606830089922475
140.5619558626043780.8760882747912440.438044137395622
150.4791322779883570.9582645559767140.520867722011643
160.4099939247548860.8199878495097720.590006075245114
170.3990073511640730.7980147023281470.600992648835927
180.3395027083139710.6790054166279410.660497291686029
190.4943475806275750.988695161255150.505652419372425
200.4833783970057050.966756794011410.516621602994295
210.4067202336132160.8134404672264330.593279766386784
220.3364996205769710.6729992411539420.663500379423029
230.3416588090632920.6833176181265840.658341190936708
240.2985729641012080.5971459282024150.701427035898792
250.2400309492132670.4800618984265350.759969050786733
260.3388361645631180.6776723291262360.661163835436882
270.3335258824027280.6670517648054570.666474117597272
280.2785952488753740.5571904977507480.721404751124626
290.2221396126146980.4442792252293950.777860387385302
300.1755350484190960.3510700968381910.824464951580904
310.1359297174115250.271859434823050.864070282588475
320.1486385580394550.2972771160789110.851361441960545
330.1176578724220110.2353157448440210.882342127577989
340.09270655337117730.1854131067423550.907293446628823
350.1338150809377280.2676301618754550.866184919062272
360.1040169476409810.2080338952819620.895983052359019
370.07787056814429840.1557411362885970.922129431855702
380.1700125196258780.3400250392517550.829987480374122
390.1565928557656010.3131857115312010.843407144234399
400.1466477555777320.2932955111554640.853352244422268
410.13218547557450.2643709511490010.867814524425499
420.1024107455028810.2048214910057620.897589254497119
430.08571650972717050.1714330194543410.914283490272829
440.08762921910449690.1752584382089940.912370780895503
450.0993294425768620.1986588851537240.900670557423138
460.1420245764206790.2840491528413580.857975423579321
470.1369752424774330.2739504849548670.863024757522567
480.1379773140194850.275954628038970.862022685980515
490.1071359815175390.2142719630350780.892864018482461
500.2638581708385010.5277163416770030.736141829161499
510.2283033131469920.4566066262939850.771696686853008
520.2315117217180960.4630234434361920.768488278281904
530.1856399662246480.3712799324492960.814360033775352
540.2932303437299190.5864606874598380.706769656270081
550.2325115308487030.4650230616974060.767488469151297
560.3266835168718450.6533670337436910.673316483128155
570.2638061891385580.5276123782771150.736193810861442
580.2484753054309840.4969506108619670.751524694569016
590.23398706580610.46797413161220.7660129341939
600.3367681816435040.6735363632870080.663231818356496
610.2603390311045560.5206780622091130.739660968895444
620.2487225936366040.4974451872732080.751277406363396
630.2806753198891460.5613506397782930.719324680110853
640.2279028802088450.455805760417690.772097119791155
650.2090948942544610.4181897885089230.790905105745539
660.3427044146548170.6854088293096350.657295585345183
670.4680021566869740.9360043133739470.531997843313026
680.3506376764715770.7012753529431540.649362323528423
690.3869723437207570.7739446874415140.613027656279243
700.5587693817833750.8824612364332510.441230618216625


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