Multiple Linear Regression - Estimated Regression Equation
eu/us[t] = + 2.8265990970667 -0.0835405630382506Crisis[t] -1.23598378810765`us/ch`[t] -3.73098538767963e-05t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.82659909706670.06246445.25200
Crisis-0.08354056303825060.012012-6.954700
`us/ch`-1.235983788107650.057024-21.674900
t-3.73098538767963e-050.000174-0.2140.8309610.415481


Multiple Linear Regression - Regression Statistics
Multiple R0.9734892777905
R-squared0.947681373973069
Adjusted R-squared0.94612735537821
F-TEST (value)609.826276923566
F-TEST (DF numerator)3
F-TEST (DF denominator)101
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0223779855757989
Sum Squared Residuals0.050578198081497


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.39541.50591310961979-0.110513109619787
21.4791.465706326652420.0132936733475817
31.46191.46739939410189-0.00549939410189227
41.4671.46958685506661-0.00258685506660896
51.47991.48005540741165-0.000155407411647522
61.45081.46456830020643-0.013768300206425
71.46781.47528404930908-0.00748404930908482
81.48241.48624699516937-0.00384699516936607
91.51891.53972778334055-0.0208277833405508
101.53481.55996060761164-0.0251606076116395
111.56661.59094649083926-0.0243464908392647
121.54461.57904373661955-0.0344437366195546
131.58031.59668099493562-0.016380994935617
141.57181.58020510069991-0.00840510069990837
151.58321.59178603845424-0.00858603845424362
161.58011.567276249595840.0128237504041648
171.56051.54585642020770.014643579792304
181.54161.521223032970480.0203769670295232
191.54791.539354684801780.00854531519821726
201.5581.531283480325210.026716519674794
211.5791.562763757068070.0162362429319255
221.55541.537017984421560.0183820155784413
231.57611.564419514663670.0116804853363284
241.5361.529156666848730.00684333315127321
251.56211.547164720301220.0149352796987784
261.57731.565790765647770.0115092343522296
271.5711.560191528747410.0108084712525908
281.59251.569176900546720.0233230994532817
291.58441.562588876615870.0218111233841292
301.56961.543764613182760.0258353868172422
311.5541.5266707270530.0273292729470046
321.50121.488935911661840.0122640883381648
331.46761.46949365633467-0.00189365633466822
341.4771.467107977283390.0098920227166132
351.4661.4634863144440.00251368555600195
361.42411.44515644452613-0.0210564445261279
371.42141.4262085827142-0.00480858271420407
381.44691.37958662508650.0673133749135048
391.46181.396358694750880.0654413052491173
401.38341.349477599327730.0339224006722742
411.34121.339305222411370.00189477758863372
421.34371.340256699587980.00344330041202418
431.2631.30029711337822-0.0372971133782218
441.27591.31385562519353-0.0379556251935289
451.27431.28514349145555-0.0108434914555548
461.27971.275959901569680.00374009843031882
471.25731.23105638020750.0262436197925034
481.27051.242019326067780.0284806739322221
491.2681.229622178332820.0383778216671755
501.33711.286810917868330.0502890821316679
511.38851.372056489393880.0164435106061165
521.4061.42207652295837-0.0160765229583668
531.38551.40127468546428-0.0157746854642812
541.34311.36242748466382-0.0193274846638242
551.32571.35868222344562-0.0329822234456242
561.29781.31093593937079-0.013135939370792
571.27931.30410071868232-0.024800718682323
581.29451.30381621207082-0.00931621207082485
591.2891.30983522277868-0.0208352227786758
601.28481.31535983997128-0.0305598399712833
611.26941.29665917491698-0.0272591749169807
621.26361.30737492401964-0.0437749240196407
631.291.271370485931830.0186295140681689
641.35591.344503416333930.0113965836660725
651.33051.328645513992270.00185448600772739
661.34821.341833230671150.00636676932885215
671.31461.309165948811230.00543405118877091
681.30271.297881186485570.00481881351442748
691.32471.33257502107752-0.0078750210775208
701.32671.33674005610321-0.0100400561032101
711.36211.37279347286208-0.0106934728620766
721.34791.3521152337468-0.00421523374680203
731.40111.399910496492690.00118950350730856
741.41351.42076131265783-0.00726131265783391
751.39641.39761110596634-0.00121110596634396
761.4011.40634928100803-0.00534928100803171
771.39551.40544678250248-0.00994678250247943
781.40771.403184701830010.00451529816999115
791.39751.396720276277970.000779723722027607
801.39491.39989652427318-0.00499652427317535
811.41381.411724658785130.00207534121486782
821.4211.416136890568440.0048631094315571
831.42531.418942343427210.00635765657278631
841.41691.401601260539830.0152987394601703
851.41741.411699017748440.0057009822515643
861.43461.433662219322880.000937780677124924
871.42961.42966976134705-6.97613470537839e-05
881.43111.430497640144850.000602359855147532
891.45941.458022768765780.00137723123422367
901.47221.468120525974380.00407947402561763
911.46691.46721802746883-0.000318027468829886
921.45711.46013561002274-0.00303561002273971
931.47091.463559054775560.00734094522443578
941.48931.480578321197570.0087216788024269
951.49971.491912062194290.0077879378057134
961.47131.47160461821544-0.000304618215444314
971.48461.482443965696920.00215603430308485
981.49141.488957369920010.0024426300799914
991.48591.481751354095110.00414864590489256
1001.49571.495433464289230.000266535710774298
1011.48431.482541923039030.00175807696097056
1021.46191.46124569202970.000654307970299132
1031.4341.45094971673453-0.0169497167345306
1041.44261.45919349826097-0.0165934982609748
1051.43181.46014497543758-0.0283449754375845


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.774383394983940.4512332100321190.225616605016059
80.7579992395746250.484001520850750.242000760425375
90.9463346118888130.1073307762223750.0536653881111874
100.9387089017381340.1225821965237320.0612910982618662
110.9400036540246960.1199926919506080.0599963459753042
120.9339672583029750.132065483394050.0660327416970248
130.9209802604206630.1580394791586730.0790197395793365
140.8932883804647660.2134232390704690.106711619535234
150.8651372662032290.2697254675935430.134862733796771
160.8183422892293580.3633154215412850.181657710770642
170.8125167910475740.3749664179048530.187483208952426
180.8256482429450540.3487035141098920.174351757054946
190.8299120304677750.3401759390644510.170087969532225
200.787524138790750.4249517224184990.21247586120925
210.7367594339129570.5264811321740860.263240566087043
220.7150720725676440.5698558548647110.284927927432356
230.6796746740677790.6406506518644410.320325325932221
240.7362778596053420.5274442807893160.263722140394658
250.7034149037625430.5931701924749150.296585096237457
260.6653108883506620.6693782232986770.334689111649338
270.6374503531980720.7250992936038560.362549646801928
280.5739932459725960.8520135080548080.426006754027404
290.5170343448397490.9659313103205020.482965655160251
300.472226761189660.944453522379320.52777323881034
310.4481023768154080.8962047536308160.551897623184592
320.5320366481385220.9359267037229560.467963351861478
330.6580660225958380.6838679548083240.341933977404162
340.6583200529004620.6833598941990760.341679947099538
350.6682807625840990.6634384748318020.331719237415901
360.7656705564333550.468658887133290.234329443566645
370.7464379537250190.5071240925499630.253562046274982
380.8278317788471250.3443364423057490.172168221152875
390.93139401945170.1372119610966010.0686059805483005
400.9640677677021910.0718644645956180.035932232297809
410.981077237513290.037845524973420.01892276248671
420.9855377934038550.02892441319229080.0144622065961454
430.9975566982862510.004886603427497170.00244330171374859
440.9994971165495670.001005766900866930.000502883450433463
450.9993225481697080.001354903660583660.000677451830291829
460.9988987001914960.002202599617008750.00110129980850438
470.9991032132203060.001793573559388050.000896786779694024
480.9993880063553660.001223987289268850.000611993644634427
490.9998742945010660.000251410997867730.000125705498933865
500.9999990840593171.83188136571279e-069.15940682856395e-07
510.9999996395364437.20927113265874e-073.60463556632937e-07
520.9999997544105214.91178957147809e-072.45589478573904e-07
530.9999997592674624.81465075259227e-072.40732537629614e-07
540.9999997797335634.40532873125863e-072.20266436562932e-07
550.9999999681946166.36107680791894e-083.18053840395947e-08
560.9999999499122051.0017559024552e-075.00877951227601e-08
570.9999999687456646.250867205792e-083.125433602896e-08
580.9999999378437271.24312545035866e-076.21562725179329e-08
590.9999999425427821.14914435378617e-075.74572176893087e-08
600.999999989136612.17267800605479e-081.0863390030274e-08
610.9999999967462066.5075882414319e-093.25379412071595e-09
620.9999999999993831.23290746591488e-126.1645373295744e-13
630.9999999999998962.08206348486043e-131.04103174243022e-13
640.999999999999784.39477377520254e-132.19738688760127e-13
650.9999999999992181.56399654240196e-127.8199827120098e-13
660.9999999999978184.36477102832621e-122.18238551416311e-12
670.999999999996686.6415370923481e-123.32076854617405e-12
680.9999999999984653.06931001054293e-121.53465500527146e-12
690.9999999999945371.09265163430817e-115.46325817154085e-12
700.9999999999817323.6536406329531e-111.82682031647655e-11
710.9999999999722285.55440681595651e-112.77720340797825e-11
720.999999999900681.98637474560796e-109.93187372803981e-11
730.9999999996675236.64954652279563e-103.32477326139781e-10
740.9999999998538472.92305850523509e-101.46152925261754e-10
750.9999999995844648.3107224252552e-104.1553612126276e-10
760.9999999995550198.89962929685978e-104.44981464842989e-10
770.9999999999145961.70807535200674e-108.54037676003369e-11
780.9999999996643786.71244236106391e-103.35622118053196e-10
790.9999999988043182.39136310554524e-091.19568155277262e-09
800.9999999983861673.22766664360217e-091.61383332180108e-09
810.9999999953469829.30603576160273e-094.65301788080137e-09
820.9999999831613163.36773679416142e-081.68386839708071e-08
830.999999935098821.29802361625884e-076.4901180812942e-08
840.9999999840123123.19753762582353e-081.59876881291176e-08
850.9999999763509284.72981442113844e-082.36490721056922e-08
860.9999998930030772.13993845681972e-071.06996922840986e-07
870.9999995550029978.89994006200225e-074.44997003100112e-07
880.9999987267999072.54640018587547e-061.27320009293774e-06
890.9999949012164261.01975671473276e-055.09878357366379e-06
900.9999808836391323.82327217368198e-051.91163608684099e-05
910.9999535350642059.29298715898294e-054.64649357949147e-05
920.9999184455009260.0001631089981485468.15544990742728e-05
930.9996773217682940.0006453564634125370.000322678231706268
940.9987890844453090.002421831109382950.00121091555469147
950.996048859467250.007902281065499280.00395114053274964
960.9902767544789450.01944649104210950.00972324552105474
970.9801830563491630.03963388730167440.0198169436508372
980.9626863625615750.07462727487684990.0373136374384249


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level530.576086956521739NOK
5% type I error level570.619565217391304NOK
10% type I error level590.641304347826087NOK