Multiple Linear Regression - Estimated Regression Equation
Promet[t] = + 126.945161290323 -20.4486095661847Dummy[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)126.9451612903232.8849144.003200
Dummy-20.44860956618474.149626-4.92787e-064e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.543248724887231
R-squared0.295119177091602
Adjusted R-squared0.282966059455251
F-TEST (value)24.2834131884694
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value7.29177659353208e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.0624999285474
Sum Squared Residuals14964.226429366


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1112.3126.945161290322-14.6451612903223
2117.3126.945161290323-9.64516129032261
3111.1106.4965517241384.60344827586206
4102.2106.496551724138-4.29655172413793
5104.3106.496551724138-2.19655172413793
6122.9106.49655172413816.4034482758621
7107.6106.4965517241381.10344827586206
8121.3106.49655172413814.8034482758621
9131.5106.49655172413825.0034482758621
1089106.496551724138-17.4965517241379
11104.4106.496551724138-2.09655172413793
12128.9106.49655172413822.4034482758621
13135.9106.49655172413829.4034482758621
14133.3106.49655172413826.8034482758621
15121.3106.49655172413814.8034482758621
16120.5126.945161290323-6.44516129032259
17120.4126.945161290323-6.54516129032258
18137.9126.94516129032310.9548387096774
19126.1126.945161290323-0.845161290322596
20133.2126.9451612903236.2548387096774
21151.1126.94516129032324.1548387096774
22105126.945161290323-21.9451612903226
23119126.945161290323-7.94516129032259
24140.4126.94516129032313.4548387096774
25156.6126.94516129032329.6548387096774
26137.1126.94516129032310.1548387096774
27122.7126.945161290323-4.24516129032259
28125.8126.945161290323-1.14516129032259
29139.3126.94516129032312.3548387096774
30134.9126.9451612903237.95483870967742
31149.2126.94516129032322.2548387096774
32132.3126.9451612903235.35483870967742
33149126.94516129032322.0548387096774
34117.2126.945161290323-9.74516129032259
35119.6126.945161290323-7.3451612903226
36152126.94516129032325.0548387096774
37149.4126.94516129032322.4548387096774
38127.3126.9451612903230.354838709677407
39114.1126.945161290323-12.8451612903226
40102.1126.945161290323-24.8451612903226
41107.7126.945161290323-19.2451612903226
42104.4126.945161290323-22.5451612903226
43102.1126.945161290323-24.8451612903226
4496106.496551724138-10.4965517241379
45109.3126.945161290323-17.6451612903226
4690106.496551724138-16.4965517241379
4783.9106.496551724138-22.5965517241379
48112106.4965517241385.50344827586207
49114.3106.4965517241387.80344827586207
50103.6106.496551724138-2.89655172413794
5191.7106.496551724138-14.7965517241379
5280.8106.496551724138-25.6965517241379
5387.2106.496551724138-19.2965517241379
54109.2106.4965517241382.70344827586207
55102.7106.496551724138-3.79655172413793
5695.1106.496551724138-11.3965517241379
57117.5106.49655172413811.0034482758621
5885.1106.496551724138-21.3965517241379
5992.1106.496551724138-14.3965517241379
60113.5106.4965517241387.00344827586207


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.02308077564848990.04616155129697970.97691922435151
60.09058062673776890.1811612534755380.909419373262231
70.03836084365465430.07672168730930860.961639156345346
80.03596145486210410.07192290972420820.964038545137896
90.09302489269862030.1860497853972410.90697510730138
100.2223410354745550.444682070949110.777658964525445
110.1576108881743440.3152217763486880.842389111825656
120.199439281456320.398878562912640.80056071854368
130.3360520739869720.6721041479739440.663947926013028
140.4277092239283650.855418447856730.572290776071635
150.3850040469687910.7700080939375830.614995953031209
160.3113854401575660.6227708803151310.688614559842434
170.2434107879692880.4868215759385760.756589212030712
180.2668296534122790.5336593068245580.733170346587721
190.2046238317296360.4092476634592720.795376168270364
200.1700958839167480.3401917678334960.829904116083252
210.2890915577840650.5781831155681290.710908442215935
220.3673239296487860.7346478592975730.632676070351214
230.3093970811607680.6187941623215370.690602918839232
240.3050821535020350.6101643070040710.694917846497965
250.5199980415660750.960003916867850.480001958433925
260.4744919575303750.948983915060750.525508042469625
270.4064194079192830.8128388158385650.593580592080717
280.3349074848285060.6698149696570120.665092515171494
290.3113899562571610.6227799125143220.688610043742839
300.2652986903666620.5305973807333240.734701309633338
310.353734057273740.7074681145474810.64626594272626
320.3023736151377330.6047472302754670.697626384862267
330.4276092126032840.8552184252065690.572390787396716
340.3847005993032410.7694011986064810.615299400696759
350.3307454776179960.6614909552359920.669254522382004
360.5908777783536990.8182444432926020.409122221646301
370.8809258362410470.2381483275179050.119074163758953
380.9088002119321950.182399576135610.0911997880678051
390.9012269971013820.1975460057972360.0987730028986179
400.9066484166993910.1867031666012170.0933515833006085
410.8913341130452050.2173317739095910.108665886954795
420.8764498239042390.2471003521915210.123550176095761
430.8652542661472610.2694914677054770.134745733852739
440.8312464825276990.3375070349446020.168753517472301
450.7841004560875560.4317990878248880.215899543912444
460.7655698495062690.4688603009874620.234430150493731
470.8030187699220270.3939624601559460.196981230077973
480.7713280829496570.4573438341006870.228671917050343
490.7709578969510030.4580842060979940.229042103048997
500.6929418244896830.6141163510206340.307058175510317
510.6163276767602380.7673446464795240.383672323239762
520.6898813739282640.6202372521434720.310118626071736
530.6803089980878670.6393820038242650.319691001912132
540.5660800431438660.8678399137122680.433919956856134
550.3976542832070180.7953085664140360.602345716792982


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0196078431372549OK
10% type I error level30.0588235294117647OK