Multiple Linear Regression - Estimated Regression Equation
uitvoer[t] = + 3664.99536024364 + 0.758111799349518invoer[t] -755.194173669824crisis[t] + 21.571095959747M1[t] + 712.153992678052M2[t] + 1108.98645761485M3[t] + 658.062497580011M4[t] + 943.435882803938M5[t] + 1543.21131640386M6[t] + 1336.55397969347M7[t] -396.939668264646M8[t] + 1307.00770491500M9[t] + 1409.14358383855M10[t] + 881.69742401456M11[t] -9.70329327631563t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3664.99536024364797.5430884.59544.3e-052.1e-05
invoer0.7581117993495180.04338817.472700
crisis-755.194173669824204.573962-3.69150.0006650.000332
M121.571095959747284.606830.07580.9399620.469981
M2712.153992678052287.2426312.47930.0174780.008739
M31108.98645761485288.2527723.84730.000420.00021
M4658.062497580011284.8060082.31060.0260960.013048
M5943.435882803938285.089773.30930.0019870.000993
M61543.21131640386287.1998165.37334e-062e-06
M71336.55397969347287.3026754.65213.6e-051.8e-05
M8-396.939668264646304.79381-1.30230.2002550.100128
M91307.00770491500300.0515464.35599e-054.5e-05
M101409.14358383855310.6133214.53665.1e-052.6e-05
M11881.69742401456299.4135572.94470.0053630.002682
t-9.703293276315634.310699-2.2510.0299510.014976


Multiple Linear Regression - Regression Statistics
Multiple R0.983895994867435
R-squared0.96805132871618
Adjusted R-squared0.956869293766844
F-TEST (value)86.5720178037536
F-TEST (DF numerator)14
F-TEST (DF denominator)40
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation419.317970863194
Sum Squared Residuals7033102.42755304


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
116198.916486.0717470964-287.171747096369
216554.217016.6935919073-462.493591907311
319554.219673.3062461005-119.106246100507
415903.816361.4963266158-457.696326615751
518003.817784.8718715986218.928128401404
618329.618568.1108983965-238.510898396461
716260.716449.1928967622-188.492896762196
814851.915072.0881434337-220.188143433656
918174.117909.640627936264.459372064009
1018406.618369.075135648337.5248643516672
1118466.517982.0318188192484.468181180772
1216016.515801.3861755546215.113824445439
1317428.516799.7848627315628.715137268483
1417167.216956.4301569233210.769843076684
151963019113.5987577051516.401242294943
1617183.616844.4199958657339.180004134308
1718344.718211.7710788766132.928921123393
1819301.419066.1209924535235.279007546545
1918147.518313.6236979668-166.123697966767
2016192.915514.5286425983678.371357401667
2118374.418389.7592835283-15.3592835283374
2220515.220240.1773206872275.02267931283
2318957.219134.9746963343-177.774696334272
2416471.517094.7313583091-623.23135830914
2518746.818753.5212338995-6.72123389946195
2619009.518566.5902606261442.909739373944
2719211.219859.7388436892-648.53884368915
2820547.720330.5277470588217.172252941189
2919325.819241.824033717183.9759662829041
3020605.520877.7872124233-272.287212423297
3120056.919983.902067357972.997932642079
3216141.416757.9142577758-616.514257775773
3320359.820791.6155392918-431.81553929178
3419711.619479.0005168668232.599483133215
3515638.616476.5473034618-837.947303461783
3614384.514551.3853365779-166.885336577903
3713855.613998.4598487459-142.859848745944
3814308.314261.847284286246.4527157138452
3915290.615519.0613680601-228.461368060079
4014423.814056.2861271888367.513872811203
4113779.713978.7519318195-199.051931819466
4215686.315770.3554629321-84.0554629321238
4314733.814623.260976884110.539023115989
4412522.512364.1689561922158.331043807762
4516189.416006.6845492439182.715450756109
4616059.116604.2470267977-545.147026797712
4716007.115475.8461813847531.253818615283
4815806.815231.7971295584575.002870441604
491516015351.9623075267-191.962307526707
5015692.115929.7387062572-237.638706257161
5118908.918429.1947844452479.705215554793
5216969.917436.0698032710-466.169803270949
5316997.517234.2810839882-236.781083988235
5419858.919499.3254337947359.574566205337
5517681.217510.1203610291171.079638970895


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.2950825360296110.5901650720592220.704917463970389
190.1575579840697010.3151159681394020.8424420159303
200.1550811024436390.3101622048872780.844918897556361
210.2569607915742520.5139215831485040.743039208425748
220.2542235468982140.5084470937964270.745776453101786
230.4472282247327950.894456449465590.552771775267205
240.5475664201020060.9048671597959890.452433579897994
250.4329202230103840.8658404460207690.567079776989616
260.506472541507040.987054916985920.49352745849296
270.7581450059517360.4837099880965270.241854994048264
280.7051647317323570.5896705365352850.294835268267643
290.7066965783135530.5866068433728930.293303421686447
300.618848147777210.762303704445580.38115185222279
310.5554106425956480.8891787148087030.444589357404352
320.5407634244068820.9184731511862360.459236575593118
330.4442001635658820.8884003271317640.555799836434118
340.6482890807170410.7034218385659180.351710919282959
350.6409604323981720.7180791352036560.359039567601828
360.4940152905381610.9880305810763220.505984709461839
370.3265740891169250.653148178233850.673425910883075


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