Multiple Linear Regression - Estimated Regression Equation
Promet[t] = + 124.4 -11.4241379310345Dummy[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)124.43.01590641.24800
Dummy-11.42413793103454.338049-2.63350.0108170.005408


Multiple Linear Regression - Regression Statistics
Multiple R0.32680517137013
R-squared0.106801620034260
Adjusted R-squared0.0914016479658856
F-TEST (value)6.93518271072625
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0108165836382075
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.7918561457057
Sum Squared Residuals16354.0531034483


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1121.6124.4-2.7999999999999
2118.8124.4-5.59999999999997
3114112.9758620689661.02413793103448
4111.5112.975862068966-1.47586206896552
597.2112.975862068966-15.7758620689655
6102.5112.975862068966-10.4758620689655
7113.4112.9758620689660.42413793103449
8109.8112.975862068966-3.17586206896552
9104.9112.975862068966-8.0758620689655
10126.1112.97586206896613.1241379310345
1180112.975862068966-32.9758620689655
1296.8112.975862068966-16.1758620689655
13117.2112.9758620689664.22413793103449
14112.3112.975862068966-0.675862068965519
15117.3112.9758620689664.32413793103448
16111.1124.4-13.3
17102.2124.4-22.2
18104.3124.4-20.1
19122.9124.4-1.5
20107.6124.4-16.8
21121.3124.4-3.10000000000001
22131.5124.47.1
2389124.4-35.4
24104.4124.4-20
25128.9124.44.5
26135.9124.411.5
27133.3124.48.9
28121.3124.4-3.10000000000001
29120.5124.4-3.90000000000001
30120.4124.4-4
31137.9124.413.5
32126.1124.41.69999999999999
33133.2124.48.79999999999998
34151.1124.426.7
35105124.4-19.4
36119124.4-5.40000000000001
37140.4124.416
38156.6124.432.2
39137.1124.412.7
40122.7124.4-1.70000000000000
41125.8124.41.39999999999999
42139.3124.414.9
43134.9124.410.5
44149.2112.97586206896636.2241379310345
45132.3124.47.9
46149112.97586206896636.0241379310345
47117.2112.9758620689664.22413793103449
48119.6112.9758620689666.62413793103448
49152112.97586206896639.0241379310345
50149.4112.97586206896636.4241379310345
51127.3112.97586206896614.3241379310345
52114.1112.9758620689661.12413793103448
53102.1112.975862068966-10.8758620689655
54107.7112.975862068966-5.27586206896551
55104.4112.975862068966-8.5758620689655
56102.1112.975862068966-10.8758620689655
5796112.975862068966-16.9758620689655
58109.3112.975862068966-3.67586206896552
5990112.975862068966-22.9758620689655
6083.9112.975862068966-29.0758620689655


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.09399023504074770.1879804700814950.906009764959252
60.0392261376321970.0784522752643940.960773862367803
70.01963059450938010.03926118901876030.98036940549062
80.006674142884893430.01334828576978690.993325857115107
90.002312576815646770.004625153631293540.997687423184353
100.01162861471917970.02325722943835930.98837138528082
110.1209582041065330.2419164082130660.879041795893467
120.0959801253534690.1919602507069380.904019874646531
130.07571020563856470.1514204112771290.924289794361435
140.04836900345284770.09673800690569530.951630996547152
150.03523102750672620.07046205501345240.964768972493274
160.0243910176098260.0487820352196520.975608982390174
170.02525115682833390.05050231365666770.974748843171666
180.02033980350279470.04067960700558950.979660196497205
190.0151668490754960.0303336981509920.984833150924504
200.01083200074675890.02166400149351780.98916799925324
210.007253678103435770.01450735620687150.992746321896564
220.008268497962714450.01653699592542890.991731502037286
230.03819845375226670.07639690750453350.961801546247733
240.03807774942084060.07615549884168110.96192225057916
250.03676417107192590.07352834214385170.963235828928074
260.04671822380312970.09343644760625940.95328177619687
270.04554357353068090.09108714706136180.95445642646932
280.03214497765123320.06428995530246640.967855022348767
290.02239295764516140.04478591529032270.977607042354839
300.01547520368531880.03095040737063760.984524796314681
310.0171915358442470.0343830716884940.982808464155753
320.01170123392208970.02340246784417930.98829876607791
330.009252595106317920.01850519021263580.990747404893682
340.02321512340275260.04643024680550510.976784876597247
350.03221369104592260.06442738209184510.967786308954077
360.02499511423293340.04999022846586690.975004885767067
370.0235446766449290.0470893532898580.976455323355071
380.05915363498164250.1183072699632850.940846365018357
390.04646695716578120.09293391433156230.953533042834219
400.03222109814398740.06444219628797480.967778901856013
410.02155536339774880.04311072679549750.978444636602251
420.01631999438137720.03263998876275440.983680005618623
430.01066753013071350.02133506026142690.989332469869286
440.04801177258830370.09602354517660750.951988227411696
450.03129960573567530.06259921147135060.968700394264325
460.1057965865061380.2115931730122760.894203413493862
470.07169860038522370.1433972007704470.928301399614776
480.04825314544578160.09650629089156330.951746854554218
490.2396427224249960.4792854448499920.760357277575004
500.7769723663060140.4460552673879710.223027633693986
510.9124376220403650.1751247559192700.0875623779596351
520.9177282714104070.1645434571791850.0822717285895927
530.8523230283645140.2953539432709720.147676971635486
540.7965870329698060.4068259340603880.203412967030194
550.6903844064507470.6192311870985060.309615593549253


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0196078431372549NOK
5% type I error level210.411764705882353NOK
10% type I error level370.725490196078431NOK