Multiple Linear Regression - Estimated Regression Equation
uitvoer[t] = + 3664.99536024364 + 0.758111799349518invoer[t] -755.194173669825crisis[t] + 21.5710959597444M1[t] + 712.153992678052M2[t] + 1108.98645761485M3[t] + 658.062497580011M4[t] + 943.435882803938M5[t] + 1543.21131640386M6[t] + 1336.55397969346M7[t] -396.939668264646M8[t] + 1307.00770491500M9[t] + 1409.14358383855M10[t] + 881.69742401456M11[t] -9.70329327631562t + 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-755.194173669825204.573962-3.69150.0006650.000332
M121.5710959597444284.606830.07580.9399620.469981
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
M71336.55397969346287.3026754.65213.6e-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-9.703293276315624.310699-2.2510.0299510.014976


Multiple Linear Regression - Regression Statistics
Multiple R0.983895994867436
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
116198.916486.0717470964-287.171747096376
216554.217016.6935919073-462.493591907306
319554.219673.3062461005-119.106246100505
415903.816361.4963266158-457.696326615751
518003.817784.8718715986218.928128401405
618329.618568.1108983965-238.510898396461
716260.716449.1928967622-188.492896762197
814851.915072.0881434337-220.188143433656
918174.117909.640627936264.459372064009
1018406.618369.075135648337.5248643516694
1118466.517982.0318188192484.468181180771
1216016.515801.3861755546215.113824445439
1317428.516799.7848627315628.715137268482
1417167.216956.4301569233210.769843076683
151963019113.5987577051516.401242294942
1617183.616844.4199958657339.180004134308
1718344.718211.7710788766132.928921123394
1819301.419066.1209924535235.279007546545
1918147.518313.6236979668-166.123697966766
2016192.915514.5286425983678.371357401667
2118374.418389.7592835283-15.3592835283375
2220515.220240.1773206872275.022679312829
2318957.219134.9746963343-177.774696334272
2416471.517094.7313583091-623.23135830914
2518746.818753.5212338995-6.72123389945978
2619009.518566.5902606261442.909739373942
2719211.219859.7388436892-648.538843689151
2820547.720330.5277470588217.172252941189
2919325.819241.824033717183.975966282904
3020605.520877.7872124233-272.287212423297
3120056.919983.902067357972.9979326420792
3216141.416757.9142577758-616.514257775773
3320359.820791.6155392918-431.815539291780
3419711.619479.0005168668232.599483133214
3515638.616476.5473034618-837.947303461783
3614384.514551.3853365779-166.885336577904
3713855.613998.4598487459-142.859848745941
3814308.314261.847284286246.4527157138439
3915290.615519.0613680601-228.461368060079
4014423.814056.2861271888367.513872811203
4113779.713978.7519318195-199.051931819466
4215686.315770.3554629321-84.0554629321237
4314733.814623.260976884110.539023115989
4412522.512364.1689561922158.331043807763
4516189.416006.6845492439182.715450756109
4616059.116604.2470267977-545.147026797712
4716007.115475.8461813847531.253818615283
4815806.815231.7971295584575.002870441603
491516015351.9623075267-191.962307526705
5015692.115929.7387062572-237.638706257163
5118908.918429.1947844452479.705215554793
5216969.917436.0698032710-466.169803270949
5316997.517234.2810839882-236.781083988236
5419858.919499.3254337947359.574566205337
5517681.217510.1203610291171.079638970895


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.2950825360296190.5901650720592380.704917463970381
190.1575579840697040.3151159681394070.842442015930296
200.1550811024436360.3101622048872720.844918897556364
210.2569607915742470.5139215831484940.743039208425753
220.2542235468982180.5084470937964370.745776453101782
230.4472282247327960.8944564494655920.552771775267204
240.5475664201020080.9048671597959830.452433579897992
250.4329202230103810.8658404460207620.567079776989619
260.506472541507040.987054916985920.49352745849296
270.7581450059517340.4837099880965330.241854994048266
280.7051647317323540.5896705365352920.294835268267646
290.7066965783135570.5866068433728860.293303421686443
300.618848147777220.762303704445560.38115185222278
310.5554106425956430.8891787148087130.444589357404357
320.5407634244068890.9184731511862230.459236575593112
330.4442001635658780.8884003271317560.555799836434122
340.6482890807170380.7034218385659230.351710919282962
350.640960432398170.718079135203660.35903956760183
360.4940152905381610.9880305810763210.505984709461839
370.3265740891169220.6531481782338450.673425910883078


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