Multiple Linear Regression - Estimated Regression Equation
eu/us[t] = + 2.81718821954907 -0.0858813976806043Crisis[t] -1.22772246144353`us/ch`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.817188219549070.04415663.800300
Crisis-0.08588139768060430.004943-17.373400
`us/ch`-1.227722461443530.041776-29.388300


Multiple Linear Regression - Regression Statistics
Multiple R0.97347709088338
R-squared0.947657646474767
Adjusted R-squared0.94663132581741
F-TEST (value)923.354352931696
F-TEST (DF numerator)2
F-TEST (DF denominator)102
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0222730682933475
Sum Squared Residuals0.0506011362624124


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.39541.50536676949665-0.109966769496650
21.4791.465465789499740.0135342105002572
31.46191.46718460094576-0.00528460094576385
41.4671.46939450137636-0.00239450137636192
51.47991.479830142298636.98577013677639e-05
61.45081.46448361153059-0.0136836115305881
71.46781.47516479694515-0.00736479694514679
81.48241.48609152685199-0.00369152685199415
91.51891.5392519094325-0.0203519094324992
101.53481.55938655780017-0.0245865578001731
111.56661.59020239158241-0.0236023915824056
121.54461.57841625595255-0.0338162559525478
131.58031.59597268715119-0.0156726871511901
141.57181.57964397841399-0.0078439784139911
151.58321.59118456955156-0.00798456955156039
161.58011.566875664814980.0132243351850216
171.56051.545636066232010.0148639337679947
181.54161.521204389249280.0203956107507211
191.54791.53925190943250.00864809056750093
201.5581.531271713433120.0267282865668841
211.5791.562578636199930.0164213638000739
221.55541.53704200900190.0183579909980992
231.57611.564297447645950.0118025523540529
241.5361.529307357494810.0066926425051935
251.56211.547232105431880.0148678945681180
261.57731.565770714599680.0115292854003207
271.5711.560245963523180.0107540364768166
281.59251.569208337491720.0232916625082788
291.58441.562701408446070.0216985915539296
301.56961.544040027032130.0255599729678712
311.5541.527097457064210.0269025429357919
321.50121.489651921990180.0115480780098196
331.46761.47037667934552-0.00277667934551697
341.4771.468044006668770.00895599333122582
351.4661.464483611530590.00151638846941182
361.42411.44631331910122-0.0222133191012238
371.42141.42752916544114-0.00612916544113788
381.44691.378356669357690.0685433306423051
391.46181.395053694833330.066746305166673
401.38341.348523013544620.0348769864553828
411.34121.338455689360780.00274431063921973
421.34371.339437867329940.00426213267006469
431.2631.29978243182531-0.0367824318253092
441.27591.31328737890119-0.0373873789011878
451.27431.28480421779570-0.0105042177956981
461.27971.275719071581020.0039809284189842
471.25731.231152746230620.0261472537693844
481.27051.242079476137460.0284205238625369
491.2681.229802251523030.0381977484769723
501.33711.286645801487860.0504541985121368
511.38851.371358651327470.0171413486725330
521.4061.42108141101593-0.0150814110159301
531.38551.40045567366368-0.0149556736636785
541.34311.36190518837435-0.0188051883743518
551.32571.35822202099002-0.0325220209900210
561.29781.3108319339783-0.0130319339783007
571.27931.30407946044036-0.0247794604403612
581.29451.30383391594807-0.00933391594807263
591.2891.30984975600915-0.0208497560091461
601.28481.31537450708564-0.0305745070856420
611.26941.29683589791784-0.0274358979178444
621.26361.30751708333240-0.0439170833324033
631.291.271790359704400.0182096402956036
641.35591.344471529421850.0114284705781464
651.33051.328756681915380.00174331808462372
661.34821.341893312252820.0063066877471778
671.31461.309481439270710.00511856072928693
681.30271.298309164871580.00439083512842319
691.32471.33280816603814-0.00810816603814005
701.32671.33698242240705-0.0102824224070481
711.36211.3728319182812-0.010731918281199
721.34791.35232895317509-0.00442895317509212
731.40111.399841812432960.00125818756704322
741.41351.42059032203135-0.00709032203135238
751.39641.39763191200236-0.00123191200235833
761.4011.40634874147861-0.00534874147860759
771.39551.40548933575560-0.009989335755597
781.40771.4032794353250.00442056467500137
791.39751.396895278525490.000604721474507587
801.39491.40008735692525-0.00518735692524544
811.41381.411873492555100.00192650744489651
821.4211.41629329341630.00470670658369984
831.42531.419117055077620.00618294492237972
841.41691.401928940617410.0149710593825892
851.41741.411996264801250.00540373519875222
861.43461.433849724614940.00075027538505742
871.42961.42992101273832-0.000321012738323278
881.43111.430780418461330.000319581538666129
891.45941.458158629351520.00124137064847540
901.47221.468225953535360.00397404646463837
911.46691.46736654781235-0.00046654781235083
921.45711.46036852978212-0.00326852978212295
931.47091.463806152674160.0070938473258353
941.48931.480748722642090.0085512773579145
951.49971.492043769287370.00765623071263413
961.47131.47190912091969-0.000609120919691987
971.48461.482713078580400.00188692141960465
981.49141.489220007626050.00217999237395426
991.48591.482099217349670.00380078265032672
1001.49571.49572693667170-2.69366716965853e-05
1011.48431.482958623072680.00134137692731601
1021.46191.461841796735865.82032641448777e-05
1031.4341.45165170030587-0.0176517003058739
1041.44261.45987744079755-0.0172774407975453
1051.43181.4608596187667-0.0290596187667004


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7744734709829790.4510530580340420.225526529017021
70.6745682535992460.6508634928015080.325431746400754
80.8496257491239680.3007485017520640.150374250876032
90.9960152878583950.007969424283209510.00398471214160476
100.9965972327813750.006805534437250560.00340276721862528
110.9962245675057280.00755086498854480.0037754324942724
120.9951009423421040.009798115315791180.00489905765789559
130.9943017107238880.01139657855222480.0056982892761124
140.993034785405880.01393042918823970.00696521459411985
150.9912012089395440.01759758212091150.00879879106045577
160.9929593746243130.01408125075137440.0070406253756872
170.99358333133750.01283333732499990.00641666866249996
180.9946784385021530.01064312299569420.00532156149784708
190.993156624661660.01368675067667990.00684337533833993
200.9952150946051260.00956981078974710.00478490539487355
210.994647075745890.01070584850822160.0053529242541108
220.9940250739185780.01194985216284360.0059749260814218
230.9919896270232420.01602074595351540.0080103729767577
240.9884080339867960.02318393202640770.0115919660132039
250.9853736192861540.02925276142769220.0146263807138461
260.9803465293425420.0393069413149160.019653470657458
270.9734894722401530.05302105551969370.0265105277598468
280.9719397540366650.05612049192667070.0280602459633353
290.9688462637135740.0623074725728520.031153736286426
300.9696117227695920.06077655446081670.0303882772304083
310.9728753343822970.05424933123540680.0271246656177034
320.9658850425395430.0682299149209140.034114957460457
330.9527020666541120.0945958666917760.047297933345888
340.9413419993646120.1173160012707770.0586580006353884
350.9245647112249380.1508705775501240.075435288775062
360.9136853165294710.1726293669410570.0863146834705287
370.887835509304760.2243289813904780.112164490695239
380.9542499910127740.09150001797445130.0457500089872257
390.9890349177033840.02193016459323210.0109650822966160
400.9937597294223930.01248054115521330.00624027057760664
410.9960850276620170.007829944675965220.00391497233798261
420.9962877065374150.007424586925169610.00371229346258480
430.999419744968140.001160510063721240.000580255031860619
440.9998928638422080.0002142723155832120.000107136157791606
450.9998483319145220.0003033361709567840.000151668085478392
460.9997393861324740.0005212277350523530.000260613867526177
470.9998029785085380.000394042982924750.000197021491462375
480.9998788775565720.0002422448868564220.000121122443428211
490.9999813606802593.72786394822724e-051.86393197411362e-05
500.9999999154219971.69156005363751e-078.45780026818756e-08
510.9999999416935551.16612889958859e-075.83064449794297e-08
520.9999999519234189.6153163122692e-084.8076581561346e-08
530.9999999471549671.05690066754035e-075.28450333770177e-08
540.9999999452138381.09572323338713e-075.47861616693566e-08
550.9999999886640252.26719502176061e-081.13359751088031e-08
560.9999999787272274.25455462903868e-082.12727731451934e-08
570.9999999828898463.4220307354708e-081.7110153677354e-08
580.9999999628410427.43179169981619e-083.71589584990810e-08
590.9999999581307048.37385919195317e-084.18692959597659e-08
600.9999999883698642.32602714549755e-081.16301357274877e-08
610.9999999962343467.53130776529066e-093.76565388264533e-09
620.9999999999986492.70243123690686e-121.35121561845343e-12
630.9999999999991581.68357519050097e-128.41787595250484e-13
640.999999999998852.30036156786169e-121.15018078393085e-12
650.9999999999962477.5063015720683e-123.75315078603415e-12
660.9999999999914141.71712684685565e-118.58563423427826e-12
670.9999999999808553.82891355668212e-111.91445677834106e-11
680.9999999999635277.29454010259258e-113.64727005129629e-11
690.9999999998906062.18788857636447e-101.09394428818224e-10
700.9999999997373435.25314208593428e-102.62657104296714e-10
710.999999999503579.9286071683529e-104.96430358417645e-10
720.999999998544672.91065992221818e-091.45532996110909e-09
730.9999999955360048.9279920791385e-094.46399603956925e-09
740.9999999894606232.10787534049645e-081.05393767024822e-08
750.9999999684698546.30602911966023e-083.15301455983012e-08
760.999999920957811.58084379509086e-077.90421897545432e-08
770.9999998778679452.44264109674761e-071.22132054837381e-07
780.999999663547586.72904838162752e-073.36452419081376e-07
790.9999990499113531.90017729437751e-069.50088647188754e-07
800.9999979470551114.10588977777465e-062.05294488888733e-06
810.9999944262946341.11474107323444e-055.57370536617218e-06
820.9999858599732452.82800535091542e-051.41400267545771e-05
830.9999675165387346.49669225314508e-053.24834612657254e-05
840.999975292262434.94154751398216e-052.47077375699108e-05
850.9999655518085626.88963828765884e-053.44481914382942e-05
860.9999287041043870.0001425917912260317.12958956130153e-05
870.9998742547960850.0002514904078303910.000125745203915196
880.9998861951577460.0002276096845075690.000113804842253784
890.9998030481939810.0003939036120375280.000196951806018764
900.999628916831520.0007421663369595460.000371083168479773
910.9991115017432330.001776996513532960.00088849825676648
920.9980650585727290.003869882854542530.00193494142727126
930.998770805578170.002458388843660560.00122919442183028
940.997894880092280.004210239815441880.00210511990772094
950.9940680867936080.01186382641278370.00593191320639184
960.986638744428640.02672251114271970.0133612555713599
970.9659768122021010.06804637559579720.0340231877978986
980.915547049262880.1689059014742390.0844529507371193
990.8302851842444280.3394296315111430.169714815755572


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level590.627659574468085NOK
5% type I error level760.808510638297872NOK
10% type I error level850.904255319148936NOK