Multiple Linear Regression - Estimated Regression Equation
Promet[t] = + 152.062865531415 -18.0165590135056Dummy[t] -2.89726267371302M1[t] -12.5469035036211M2[t] -20.153232530828M3[t] -29.3261851634371M4[t] -23.4958259933451M5[t] -13.0854668232531M6[t] -17.0751076531611M7[t] -15.101436680368M8[t] -2.27438931297713M9[t] -32.760718340184M10[t] -25.890359170092M11[t] -0.330359170091995t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)152.0628655314156.5177623.330500
Dummy-18.01655901350563.207827-5.61641e-061e-06
M1-2.897262673713027.726951-0.3750.7094170.354708
M2-12.54690350362117.716216-1.6260.1107730.055386
M3-20.1532325308287.688197-2.62130.0118330.005917
M4-29.32618516343717.698043-3.80960.0004110.000206
M5-23.49582599334517.690613-3.05510.0037360.001868
M6-13.08546682325317.684292-1.70290.0953380.047669
M7-17.07510765316117.679083-2.22360.0311280.015564
M8-15.1014366803687.651862-1.97360.0544560.027228
M9-2.274389312977137.672007-0.29650.7682190.384109
M10-32.7607183401847.645135-4.28529.2e-054.6e-05
M11-25.8903591700927.643452-3.38730.0014550.000727
t-0.3303591700919950.092602-3.56750.0008550.000428


Multiple Linear Regression - Regression Statistics
Multiple R0.826784265662317
R-squared0.683572221946777
Adjusted R-squared0.59414698032304
F-TEST (value)7.64406346054904
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value9.7017964995061e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.0844718082049
Sum Squared Residuals6717.5851086318


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1112.3148.83524368761-36.5352436876098
2117.3138.85524368761-21.5552436876101
3111.1112.901996476806-1.80199647680566
4102.2103.398684674105-1.19868467410453
5104.3108.898684674105-4.59868467410454
6122.9118.9786846741053.92131532589548
7107.6114.658684674105-7.05868467410454
8121.3116.3019964768064.99800352319436
9131.5128.7986846741052.70131532589547
108997.9819964768056-8.98199647680565
11104.4104.521996476806-0.121996476805641
12128.9130.081996476806-1.18199647680566
13135.9126.8543746330019.04562536699935
14133.3116.87437463300116.4256253669994
15121.3108.93768643570212.3623135642983
16120.5117.4509336465063.04906635349383
17120.4122.950933646506-2.55093364650617
18137.9133.0309336465064.86906635349382
19126.1128.710933646506-2.61093364650618
20133.2130.3542454492072.84575455079269
21151.1142.8509336465068.24906635349382
22105112.034245449207-7.03424544920729
23119118.5742454492070.42575455079271
24140.4144.134245449207-3.73424544920731
25156.6140.90662360540215.6933763945977
26137.1130.9266236054026.17337639459777
27122.7122.989935408103-0.289935408103347
28125.8113.48662360540212.3133763945978
29139.3118.98662360540220.3133763945978
30134.9129.0666236054025.83337639459776
31149.2124.74662360540224.4533763945978
32132.3126.3899354081035.91006459189666
33149138.88662360540210.1133763945978
34117.2108.0699354081039.13006459189666
35119.6114.6099354081034.99006459189665
36152140.16993540810311.8300645918966
37149.4136.94231356429812.4576864357016
38127.3126.9623135642980.337686435701711
39114.1119.025625366999-4.92562536699941
40102.1109.522313564298-7.4223135642983
41107.7115.022313564298-7.3223135642983
42104.4125.102313564298-20.7023135642983
43102.1120.782313564298-18.6823135642983
4496104.409066353494-8.40906635349383
45109.3134.922313564298-25.6223135642983
469086.08906635349383.91093364650617
4783.992.6290663534938-8.72906635349382
48112118.189066353494-6.18906635349383
49114.3114.961444509689-0.66144450968883
50103.6104.981444509689-1.38144450968876
5191.797.0447563123899-5.34475631238987
5280.887.5414445096888-6.74144450968877
5387.293.0414445096888-5.84144450968877
54109.2103.1214445096896.07855549031123
55102.798.80144450968883.89855549031124
5695.1100.44475631239-5.34475631238989
57117.5112.9414445096894.55855549031124
5885.182.12475631238992.97524368761011
5992.188.66475631238993.43524368761011
60113.5114.22475631239-0.724756312389895


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.05555877896412960.1111175579282590.94444122103587
180.01543920873242950.0308784174648590.98456079126757
190.005283867510604070.01056773502120810.994716132489396
200.001897092427876120.003794184855752250.998102907572124
210.0006909050749159740.001381810149831950.999309094925084
220.0002532100110329530.0005064200220659060.999746789988967
237.06649167315714e-050.0001413298334631430.999929335083268
244.57711078581477e-059.15422157162954e-050.999954228892142
257.4563589341809e-050.0001491271786836180.999925436410658
260.000889920901442960.001779841802885920.999110079098557
270.004967729448393980.009935458896787960.995032270551606
280.003274110818629020.006548221637258030.99672588918137
290.002776066926898230.005552133853796460.997223933073102
300.007016933880321850.01403386776064370.992983066119678
310.01957598054841970.03915196109683940.98042401945158
320.03234036807983420.06468073615966840.967659631920166
330.05141607105333450.1028321421066690.948583928946665
340.03429050820401690.06858101640803390.965709491795983
350.03607854661955660.07215709323911310.963921453380443
360.07779658970317250.1555931794063450.922203410296828
370.1702635166705270.3405270333410550.829736483329473
380.3540612583990930.7081225167981860.645938741600907
390.5448585747968580.9102828504062850.455141425203142
400.7932890800937250.4134218398125510.206710919906275
410.9896963901771860.02060721964562820.0103036098228141
420.9801715165856230.03965696682875480.0198284834143774
430.9641245939243580.07175081215128420.0358754060756421


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.37037037037037NOK
5% type I error level160.592592592592593NOK
10% type I error level200.740740740740741NOK