Multiple Linear Regression - Estimated Regression Equation
unemployment[t] = + 943.403030642086 -0.0716993270501178birth[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)943.403030642086177.7391195.30781e-061e-06
birth-0.07169932705011780.018479-3.88010.0002270.000113


Multiple Linear Regression - Regression Statistics
Multiple R0.413487517133902
R-squared0.170971926825559
Adjusted R-squared0.159615377877964
F-TEST (value)15.0549192025245
F-TEST (DF numerator)1
F-TEST (DF denominator)73
p-value0.000226712823779618
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation79.9683384170429
Sum Squared Residuals466830.265890337


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1235.1247.919558255950-12.8195582559495
2280.7292.301441699967-11.6014416999669
3264.6292.086343718817-27.4863437188166
4240.7244.836487192789-4.13648719278909
5201.4327.720909262725-126.320909262725
6240.8245.696879117390-4.89687911739048
7241.1257.742366061810-16.6423660618103
8223.8226.553158795009-2.75315879500905
9206.1266.776481270125-60.6764812701251
10174.7223.685185713004-48.9851857130044
11203.3232.289104959018-28.9891049590185
12220.5280.040856774397-59.5408567743969
13299.5245.2666831550954.2333168449102
14347.4295.59961074427251.8003892557276
15338.3288.57307669336149.7269233066391
16327.7263.19151491761964.5084850823808
17351.6319.61888530606231.9811146939382
18396.6253.153609130603143.446390869397
19438.8301.909151524683136.890848475317
20395.6277.818177635843117.781822364157
21363.5310.36967211659753.1303278834033
22378.8230.209824474565148.590175525435
23357253.081909803553103.918090196447
24369275.30870118908993.6912988109109
25464.8254.730994325705210.069005674295
26479.1323.920844929069155.179155070931
27431.3282.765431202301148.534568797699
28366.5257.45556875361109.044431246390
29326.3330.58888234473-4.28888234472987
30355.1284.84471168675570.2552883132453
31331.6264.41040347747167.1895965225288
32261.3289.290069963862-27.9900699638621
33249278.176674271094-29.1766742710938
34205.5214.220874542389-8.72087454238881
35235.6266.991579251275-31.3915792512755
36240.9251.146027973199-10.2460279731994
37264.9267.350075886526-2.45007588652607
38253.8316.822611551107-63.0226115511073
39232.3258.531058659362-26.2310586593616
40193.8248.851649507596-55.0516495075957
41177296.746799977074-119.746799977074
42213.2249.927139413347-36.7271394133474
43207.2283.339025818702-76.1390258187023
44180.6293.161833624568-112.561833624568
45188.6241.610017475534-53.0100174755338
46175.4204.039570101272-28.6395701012721
47199218.881330800646-19.8813308006465
48179.6236.232567946775-56.632567946775
49225.8251.074328646149-25.2743286461493
50234276.957785711242-42.9577857112418
51200.2230.281523801615-30.0815238016152
52183.6247.847858928894-64.247858928894
53178.2294.595820165571-116.395820165571
54203.2212.786888001386-9.58688800138647
55208.5247.489362293643-38.9893622936434
56191.8243.259101997686-51.4591019976865
57172.8234.081588135271-61.2815881352714
58148226.839956103210-78.8399561032095
59159.4195.363951528208-35.9639515282078
60154.5221.17570926625-66.6757092662502
61213.2218.379435511296-5.17943551129565
62196.4279.037066195695-82.6370661956952
63182.8239.31563900993-56.51563900993
64176.4219.454925417047-43.0549254170474
65153.6289.863664580263-136.263664580263
66173.2196.941336723310-23.7413367233105
67171249.496943451047-78.4969434510467
68151.2197.156434704461-45.9564347044608
69161.9215.439763102241-53.5397631022408
70157.2200.024407786466-42.8244077864655
71201.7184.75245112479016.9475488752096
72236.4183.60526189198952.7947381080115
73356.1177.654217746829178.445782253171
74398.3245.19498382804153.105016171960
75403.7258.244261351161145.455738648839


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.08825577274692450.1765115454938490.911744227253075
60.0304899669484790.0609799338969580.969510033051521
70.009399996301352060.01879999260270410.990600003698648
80.003612060317512880.007224120635025760.996387939682487
90.002196351212023570.004392702424047150.997803648787976
100.003242195218595060.006484390437190110.996757804781405
110.001303146942623380.002606293885246770.998696853057377
120.0004902089001836630.0009804178003673270.999509791099816
130.001574556222664590.003149112445329170.998425443777335
140.008008481711110230.01601696342222050.99199151828889
150.01209767763563550.02419535527127110.987902322364364
160.01575842508153530.03151685016307060.984241574918465
170.01308708609936050.02617417219872110.98691291390064
180.06977358378618120.1395471675723620.930226416213819
190.1684625334045910.3369250668091830.831537466595409
200.2283503216723090.4567006433446180.771649678327691
210.1889908261204070.3779816522408140.811009173879593
220.3148611981495800.6297223962991590.68513880185042
230.3342005849846320.6684011699692630.665799415015368
240.3404199369140240.6808398738280480.659580063085976
250.69678342263020.60643315473960.3032165773698
260.8553861612234720.2892276775530560.144613838776528
270.940659703648450.1186805927030990.0593402963515494
280.9618260768296930.07634784634061410.0381739231703070
290.9579593945706330.0840812108587340.042040605429367
300.9690239117032950.06195217659341030.0309760882967052
310.9755476031629480.04890479367410310.0244523968370516
320.9722379024700990.05552419505980240.0277620975299012
330.9674850534752430.06502989304951440.0325149465247572
340.9569505044738980.0860989910522050.0430494955261025
350.9483849186274540.1032301627450910.0516150813725457
360.934881772527120.1302364549457610.0651182274728803
370.9239594246819280.1520811506361440.076040575318072
380.923820105430470.1523597891390590.0761798945695296
390.9075131318860520.1849737362278960.0924868681139478
400.8946505500705990.2106988998588030.105349449929401
410.9111483465009550.1777033069980900.0888516534990448
420.8892356304752540.2215287390494920.110764369524746
430.8755391976391130.2489216047217740.124460802360887
440.8782587772003050.243482445599390.121741222799695
450.8539317863121150.292136427375770.146068213687885
460.8210414023420170.3579171953159660.178958597657983
470.7748787710269220.4502424579461570.225121228973078
480.7385247699459180.5229504601081630.261475230054082
490.6836416024916390.6327167950167220.316358397508361
500.6329051992542020.7341896014915970.367094800745798
510.5674331769347460.8651336461305070.432566823065254
520.5166947942238510.9666104115522990.483305205776149
530.5054349233388930.9891301533222150.494565076661107
540.4304134335674290.8608268671348580.569586566432571
550.3622514155196230.7245028310392460.637748584480377
560.3029591322272750.605918264454550.697040867772725
570.2571796960725870.5143593921451730.742820303927413
580.2364276875257650.4728553750515290.763572312474235
590.1951917149186170.3903834298372350.804808285081383
600.170941310973880.341882621947760.82905868902612
610.1221072222093020.2442144444186040.877892777790698
620.09610395365033660.1922079073006730.903896046349663
630.07201746156346220.1440349231269240.927982538436538
640.05235312309918780.1047062461983760.947646876900812
650.09992677520283740.1998535504056750.900073224797163
660.07079030869639690.1415806173927940.929209691303603
670.1327459114254940.2654918228509870.867254088574506
680.1290769899320140.2581539798640280.870923010067986
690.2248577839721310.4497155679442620.775142216027869
700.4236953211856770.8473906423713530.576304678814323


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.090909090909091NOK
5% type I error level120.181818181818182NOK
10% type I error level190.287878787878788NOK