Multiple Linear Regression - Estimated Regression Equation
unempl[t] = + 10.7362119129704 -0.0863544648682223proman[t] + 1.76734118577122M1[t] + 1.24855473732718M2[t] + 1.53542273993681M3[t] + 0.676228520664832M4[t] + 0.867552719598188M5[t] + 1.66329276027544M6[t] -1.30436019033809M7[t] + 1.46561409647386M8[t] + 1.71438036762800M9[t] + 2.02024635250865M10[t] + 1.71717488698802M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)10.73621191297040.90654511.84300
proman-0.08635446486822230.009075-9.515500
M11.767341185771220.37854.66932.5e-051.3e-05
M21.248554737327180.370413.37070.0015070.000753
M31.535422739936810.3813454.02630.0002050.000103
M40.6762285206648320.3641341.85710.0695720.034786
M50.8675527195981880.3708512.33940.0236180.011809
M61.663292760275440.3953584.20710.0001155.8e-05
M7-1.304360190338090.405322-3.21810.002340.00117
M81.465614096473860.3784463.87270.0003320.000166
M91.714380367628000.3966924.32178e-054e-05
M102.020246352508650.4160754.85551.4e-057e-06
M111.717174886988020.4068934.22020.0001115.5e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.823911288067274
R-squared0.678829810604674
Adjusted R-squared0.596828911184591
F-TEST (value)8.27832152336635
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value4.40602229145881e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.571577374027925
Sum Squared Residuals15.3549326415309


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14.34.19625357841870.103746421581302
24.13.625654451053680.474345548946316
33.92.781278963889611.11872103611039
43.83.81324752523170-0.0132475252316958
53.73.73687288307356-0.0368728830735613
63.73.211389611267010.488610388732986
74.13.507935432672290.592064567327714
84.13.557744076135240.542255923864763
93.83.124310074830420.675689925169582
103.73.602884989447510.0971150105524916
113.53.07529191526950.424708084730501
123.62.834778377528080.765221622471915
134.13.937190183813990.162809816186008
143.83.522029093211820.277970906788181
153.73.92979334663697-0.229793346636966
163.62.535201445182001.06479855481800
173.33.236016986837870.0639830131621285
183.42.900513537741410.499486462258587
193.73.343861949422660.356138050577338
203.73.402306039372440.297693960627565
213.42.986142931041260.413857068958737
223.33.44744695268471-0.147446952684708
2332.695332269849320.30466773015068
2432.636163108331170.363836891668826
253.33.177270892973640.122729107026363
2633.10752766184435-0.107527661844352
272.92.228610388732990.671389611267013
282.83.70962216738983-0.909622167389827
292.52.389743231129290.110256768870707
302.62.71916916151815-0.119169161518147
312.83.02435042941024-0.224350429410240
322.72.8064602317817-0.106460231781703
332.42.82206944779164-0.42206944779164
342.22.49754783913426-0.297547839134261
352.12.18584092712681-0.0858409271268084
362.12.30801614183193-0.208016141831930
372.32.45189338808057-0.151893388080570
382.12.66711989101642-0.567119891016417
3921.805473510878700.194526489121303
401.92.95833832303629-1.05833832303629
411.71.81116831651220-0.111168316512204
421.82.24421960474292-0.444219604742924
432.12.55803631912184-0.45803631912184
4422.19334353121732-0.193343531217323
451.82.45938069534511-0.659380695345107
461.71.608096850991570.091903149008428
471.61.80588128170663-0.20588128170663
481.62.38573516021333-0.785735160213329
491.82.03739195671310-0.237391956713103
501.71.77766890287373-0.077668902873728
511.73.45484378986174-1.75484378986174
521.50.583590539160180.91640946083982
531.51.52619858244707-0.0261985824470702
541.51.9247080847305-0.424708084730502
551.82.06581586937297-0.265815869372972
561.82.3401461214933-0.540146121493301
571.71.70809685099157-0.0080968509915719
581.71.444023367741950.255976632258050
591.82.23765360604774-0.437653606047742
6022.13530721209548-0.135307212095485


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.05828631367752960.1165726273550590.94171368632247
170.04215368010675820.08430736021351650.957846319893242
180.02570983291309180.05141966582618360.974290167086908
190.02369567412493140.04739134824986280.976304325875069
200.02269115323184480.04538230646368950.977308846768155
210.02569325938737580.05138651877475170.974306740612624
220.02174450715470570.04348901430941130.978255492845294
230.02665463714200140.05330927428400270.973345362857999
240.05196065467634280.1039213093526860.948039345323657
250.1088444981289870.2176889962579750.891155501871012
260.2330680050957950.4661360101915890.766931994904205
270.4267675985451040.8535351970902080.573232401454896
280.7498994792440730.5002010415118540.250100520755927
290.791621602997970.4167567940040590.208378397002030
300.904418470768560.1911630584628790.0955815292314396
310.9625493764064150.07490124718716930.0374506235935846
320.9881498667495360.02370026650092750.0118501332504638
330.9961962417187420.007607516562515720.00380375828125786
340.9959600424156280.008079915168743960.00403995758437198
350.9964284616540790.007143076691842530.00357153834592126
360.9964907169517880.0070185660964230.0035092830482115
370.9969699356245650.006060128750869240.00303006437543462
380.9966324705271940.006735058945612560.00336752947280628
390.998516619403340.002966761193321090.00148338059666055
400.9971320522794320.005735895441136110.00286794772056805
410.9918874313589860.01622513728202720.0081125686410136
420.9848751207814730.03024975843705330.0151248792185266
430.9713195987021530.05736080259569310.0286804012978466
440.9327590780234760.1344818439530480.067240921976524


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.275862068965517NOK
5% type I error level140.482758620689655NOK
10% type I error level200.689655172413793NOK