Multiple Linear Regression - Estimated Regression Equation
WK>25j[t] = + 109.356227758007 + 20.1391918264263ExpBE[t] + 1.69465044197025M1[t] -2.74432326942943M2[t] -49.8616806336816M3[t] -21.2417575479279M4[t] -23.852892894042M5[t] -39.9753817012972M6[t] + 6.41948685569967M7[t] + 51.9229250373091M8[t] -28.2227069222822M9[t] -32.6366261049248M10[t] -28.9670301917116M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)109.35622775800732.2102343.39510.0014030.000702
ExpBE20.13919182642631.89889810.605700
M11.6946504419702514.2370240.1190.9057580.452879
M2-2.7443232694294314.198678-0.19330.8475720.423786
M3-49.861680633681614.620873-3.41030.0013420.000671
M4-21.241757547927914.189787-1.4970.1410860.070543
M5-23.85289289404214.196697-1.68020.099560.04978
M6-39.975381701297214.378808-2.78020.007790.003895
M76.4194868556996714.1808390.45270.6528570.326428
M851.922925037309114.8470023.49720.0010380.000519
M9-28.222706922282214.500221-1.94640.0576030.028801
M10-32.636626104924814.541194-2.24440.0295520.014776
M11-28.967030191711614.360289-2.01720.049410.024705


Multiple Linear Regression - Regression Statistics
Multiple R0.847826266166205
R-squared0.718809377601329
Adjusted R-squared0.647016027201668
F-TEST (value)10.0121999265927
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value2.5348314558471e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation22.4179352962809
Sum Squared Residuals23620.4996785672


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1363399.041321317873-36.0413213178727
2364392.588428423832-28.5884284238318
3363379.707697164505-16.7076971645047
4358396.244105154403-38.2441051544025
5357397.660808173574-40.6608081735736
6357373.482642635748-16.4826426357479
7380417.863592010102-37.8635920101022
8378404.963373895075-26.9633738950752
9376399.332751693261-23.3327516932614
10380417.071943519688-37.0719435196877
11379384.490994145334-5.49099414533349
12384385.263155780048-1.26315578004820
13392409.110917231087-17.1109172310875
14394402.658024337045-8.65802433704512
15392381.72161634714710.2783836528527
16396398.258024337045-2.25802433704512
17392387.5912122603604.40878773963953
18396381.53831936631814.4616806336815
19419419.877511192745-0.877511192744778
20421396.90769716450524.0923028354953
21420409.40234760647510.5976523935254
22418413.0441051544024.95589484559751
23410382.47707496269127.5229250373092
24418409.430185971768.56981402824016
25426405.08307886580220.9169211341978
26428414.74153943290113.2584605670990
27430419.98608081735710.0139191826427
28424418.3972161634715.60278383652856
29423395.64688899093127.353111009069
30427429.872379749742-2.87237974974167
31441435.9888646538865.01113534611412
32449441.2139191826437.78608081735736
33452439.61113534611412.3888646538859
34462437.21113534611424.7888646538859
35455430.81113534611424.1888646538859
36461445.68073125932715.3192687406727
37461433.27794742279927.7220525772009
38463440.92248880725522.0775111927448
39462444.15311100906917.8468889909310
40456446.5920847204689.40791527953162
41455431.89743427849823.1025657215015
42456443.9698140282412.0301859717598
43472444.04454138445627.9554586155436
44472465.3809493743546.61905062564574
45471467.8060039031113.19399609688900
46465433.18329698082931.8167030191712
47459465.047761451039-6.04776145103894
48465471.861680633682-6.86168063368154
49468463.4867351624394.51326483756139
50467465.0895189989671.91048100103314
51463484.431494661922-21.4314946619217
52460434.50856962461325.4914303753875
53462476.203656296636-14.2036562966364
54461468.136844219952-7.13684421995179
55476470.2254907588115.7745092411893
56476487.534060383423-11.5340603834232
57471473.847761451039-2.84776145103891
58453477.489518998967-24.4895189989668
59443483.173034094823-40.1730340948226
60442457.764246355183-15.7642463551831


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.7359729288184820.5280541423630350.264027071181518
170.9817543654115450.03649126917690990.0182456345884550
180.979352320533740.04129535893251890.0206476794662594
190.989544241773010.02091151645397710.0104557582269886
200.9969971576780440.006005684643911950.00300284232195598
210.9970596865985470.00588062680290560.0029403134014528
220.9987066190771930.002586761845614590.00129338092280729
230.998292170128790.003415659742420240.00170782987121012
240.9970866296435250.005826740712950210.00291337035647511
250.9987745492199540.002450901560091490.00122545078004574
260.9988148715657430.002370256868513460.00118512843425673
270.998228967292880.003542065414240460.00177103270712023
280.9987712556651960.002457488669607610.00122874433480381
290.9993687742141360.001262451571727470.000631225785863735
300.9997219771600760.0005560456798483040.000278022839924152
310.999953079314289.38413714405145e-054.69206857202573e-05
320.9999818620532273.62758935469469e-051.81379467734735e-05
330.9999909478659851.81042680293711e-059.05213401468556e-06
340.9999777095254034.45809491942825e-052.22904745971412e-05
350.9999303675668210.0001392648663570636.96324331785316e-05
360.9998397421774510.0003205156450978440.000160257822548922
370.9996189586664540.0007620826670915950.000381041333545797
380.9988665125072340.002266974985531680.00113348749276584
390.9965751135796440.006849772840711610.00342488642035580
400.990735481133130.01852903773374050.00926451886687027
410.9787314807123360.04253703857532850.0212685192876642
420.9517641201384740.0964717597230520.048235879861526
430.9046000935615220.1907998128769550.0953999064384775
440.809934923856130.3801301522877390.190065076143869


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level200.689655172413793NOK
5% type I error level250.862068965517241NOK
10% type I error level260.896551724137931NOK