Multiple Linear Regression - Estimated Regression Equation
unemployment[t] = -448953.956835141 -10.0941951303399black[t] + 6.16170741708651males[t] + 1.64164420199708`highschool\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-448953.95683514162600.007137-7.171800
black-10.09419513033992.046178-4.93326e-063e-06
males6.161707417086510.9528826.466400
`highschool\r`1.641644201997080.5448433.01310.0036650.001833


Multiple Linear Regression - Regression Statistics
Multiple R0.790717204877859
R-squared0.625233698089854
Adjusted R-squared0.608198866184848
F-TEST (value)36.7032502331939
F-TEST (DF numerator)3
F-TEST (DF denominator)66
p-value4.49640324973188e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1895.54904775069
Sum Squared Residuals237145008.700284


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
176457872.82478581753-227.824785817532
272408289.02080805921-1049.02080805921
372378802.03438104975-1565.03438104974
471708876.87220104896-1706.87220104896
570678623.48713773297-1556.48713773297
671498428.39152690706-1279.39152690706
769796675.7409806078303.259019392197
867667875.85807005714-1109.85807005714
968508897.0359414888-2047.0359414888
1067317447.25699251568-716.256992515679
1169278697.63643168984-1770.63643168984
1271169139.99059017899-2023.99059017899
13112999950.826667031731348.17333296827
14105448951.599928995231592.40007100477
15100839421.07509280904661.924907190964
1695019948.71367015263-447.713670152632
17945010221.4601110458-771.460111045826
18895010319.6090702372-1369.60907023717
1985788921.77583484925-343.775834849249
2083959613.61025435037-1218.61025435037
21763110299.4878391837-2668.48783918372
22781610306.1295937812-2490.12959378119
23749110394.0177707427-2903.01777074271
24767811065.3351341339-3387.3351341339
251512411166.26083728783957.7391627122
261522710828.80596329014398.19403670994
271542111366.24032035344054.75967964663
281501211661.88061662493350.11938337511
291486112350.89553012392510.10446987607
301464612819.91283002471826.08716997529
311472711545.86939962653181.13060037353
321450512412.62892429752092.37107570246
331379612789.73415021351006.26584978646
341338912633.5271737605755.472826239534
351286013227.2034759288-367.203475928826
361204913542.63316297-1493.63316297001
371439312771.09973269131621.90026730867
381510410647.4066716794456.59332832101
391463611883.61018002972752.38981997028
401457413067.46378002751506.53621997253
411473513880.4733712655854.526628734481
421460914435.8880717319173.111928268077
431451712829.03519488821687.96480511179
441487613153.03752136911722.96247863088
451522113232.80027397431988.19972602568
461512813196.04574540681931.95425459323
471503913771.88612463311267.11387536687
481495314384.1264633908568.873536609181
491309714007.3477546417-910.347754641695
501332313546.3749452148-223.374945214839
511375914463.5735266837-704.573526683723
521389714847.803151367-950.803151367003
531392015049.5335239603-1129.5335239603
541390815243.8259571564-1335.82595715638
551402414946.0521657826-922.052165782631
561389215265.5960528559-1373.59605285587
571379216005.4008556404-2213.40085564036
581362815627.6508262557-1999.65082625574
591375116031.4023513598-2280.4023513598
601391916244.6690635399-2325.66906353992
611225812116.6659186838141.334081316216
621208811399.7674023295688.232597670509
631254411923.5194936519620.48050634812
641279412663.5859168854130.414083114631
651274913535.0676667244-786.067666724438
661272013575.655287073-855.655287073021
671250013006.7264152824-506.726415282362
681267313062.9801973652-389.980197365199
691280613722.6876798353-916.68767983531
701275813570.8575176554-812.857517655423


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.0003221243690903290.0006442487381806570.99967787563091
83.60718602138808e-057.21437204277617e-050.999963928139786
92.44564358250206e-064.89128716500412e-060.999997554356417
103.47010664197143e-076.94021328394286e-070.999999652989336
119.68931412810633e-081.93786282562127e-070.999999903106859
124.07910239767492e-088.15820479534983e-080.999999959208976
130.0497842062360780.0995684124721560.950215793763922
140.08461927610282650.1692385522056530.915380723897174
150.06406989067963760.1281397813592750.935930109320362
160.04106998337850930.08213996675701870.958930016621491
170.02913015401741580.05826030803483170.970869845982584
180.02695255865785010.05390511731570030.97304744134215
190.0168785599186830.0337571198373660.983121440081317
200.01552144468452490.03104288936904990.984478555315475
210.04756650444520990.09513300889041980.95243349555479
220.1145525121906790.2291050243813590.88544748780932
230.4752998990818480.9505997981636950.524700100918152
240.9993188588311660.001362282337668010.000681141168834007
250.9999993771482041.24570359198877e-066.22851795994385e-07
260.9999999829451523.41096952008756e-081.70548476004378e-08
270.9999999911506731.76986550016332e-088.84932750081658e-09
280.9999999823963963.52072076012504e-081.76036038006252e-08
290.9999999565381648.69236718427396e-084.34618359213698e-08
300.9999998852998632.29400275083269e-071.14700137541634e-07
310.9999997559774184.88045164343978e-072.44022582171989e-07
320.9999993699844341.26003113205016e-066.30015566025081e-07
330.999998809635552.38072890003302e-061.19036445001651e-06
340.9999988901543032.21969139381967e-061.10984569690983e-06
350.99999981416383.71672400762658e-071.85836200381329e-07
360.9999999999971775.64623155553569e-122.82311577776784e-12
370.9999999999973945.21300618166833e-122.60650309083416e-12
380.9999999999917911.64176767311664e-118.20883836558319e-12
390.9999999999723055.53898330193045e-112.76949165096522e-11
400.9999999999311571.37686302381858e-106.88431511909288e-11
410.9999999998134993.73001585554889e-101.86500792777444e-10
420.9999999996001267.99748889886591e-103.99874444943295e-10
430.999999998519842.96031967693683e-091.48015983846842e-09
440.9999999952527979.4944063463878e-094.7472031731939e-09
450.9999999957719398.45612180656202e-094.22806090328101e-09
460.9999999991021631.79567386683172e-098.97836933415859e-10
470.9999999999644197.11625499631476e-113.55812749815738e-11
480.9999999999999843.13901247608282e-141.56950623804141e-14
490.9999999999999975.75859765335511e-152.87929882667756e-15
500.9999999999999843.11401878551586e-141.55700939275793e-14
510.9999999999998672.65307686194474e-131.32653843097237e-13
520.9999999999990371.92548000637236e-129.62740003186178e-13
530.9999999999933281.33432687145611e-116.67163435728057e-12
540.9999999999507599.84822841731496e-114.92411420865748e-11
550.999999999960677.86601394472792e-113.93300697236396e-11
560.9999999999136421.72715318635215e-108.63576593176074e-11
570.9999999988883212.22335752965797e-091.11167876482899e-09
580.9999999864583622.70832766535469e-081.35416383267735e-08
590.999999847973453.04053099921848e-071.52026549960924e-07
600.9999996383030487.2339390327819e-073.61696951639095e-07
610.9999994659469391.06810612166832e-065.3405306083416e-07
620.9999965391009116.92179817708767e-063.46089908854384e-06
630.999915281455760.0001694370884808128.47185442404059e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level460.807017543859649NOK
5% type I error level480.842105263157895NOK
10% type I error level530.929824561403509NOK