Multiple Linear Regression - Estimated Regression Equation
EUR/USD[t] = + 0.309173908189271 + 0.00547113591987539`EUR/JPY`[t] -0.0732152190415344`EUR/DAK`[t] -0.0427294912371332`EUR/SWK`[t] + 1.30494431434585`EUR/GBP`[t] + 0.00882211905829047`EUR/NOK`[t] -0.331036242803307`EUR/CHF`[t] + 0.057282817623541`EUR/CAD`[t] -0.0549529463886572`EUR/AUD`[t] + 0.00606260847246574`EUR/NZD`[t] + 0.0659618164617436`EUR/CHY`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.3091739081892712.8226370.10950.913040.45652
`EUR/JPY`0.005471135919875390.00045811.943300
`EUR/DAK`-0.07321521904153440.375136-0.19520.8457310.422866
`EUR/SWK`-0.04272949123713320.012192-3.50470.0007360.000368
`EUR/GBP`1.304944314345850.08811614.809400
`EUR/NOK`0.008822119058290470.0156550.56350.5745740.287287
`EUR/CHF`-0.3310362428033070.076215-4.34343.9e-051.9e-05
`EUR/CAD`0.0572828176235410.0553411.03510.3035960.151798
`EUR/AUD`-0.05495294638865720.057814-0.95050.3445760.172288
`EUR/NZD`0.006062608472465740.0431060.14060.8884870.444243
`EUR/CHY`0.06596181646174360.0091927.17600


Multiple Linear Regression - Regression Statistics
Multiple R0.97667530750816
R-squared0.953894656296159
Adjusted R-squared0.948405924902845
F-TEST (value)173.791462533231
F-TEST (DF numerator)10
F-TEST (DF denominator)84
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0225522618014278
Sum Squared Residuals0.0427227790382519


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.26131.2716674045655-0.0103674045654983
21.26461.257327172519960.00727282748004476
31.22621.214293973140640.0119060268593566
41.19851.174321284071930.024178715928074
51.20071.21687705252504-0.0161770525250446
61.21381.21133697743490.00246302256509904
71.22661.224022168737660.00257783126233848
81.21761.21980668121891-0.00220668121890916
91.22181.23706949615962-0.0152694961596155
101.2491.27453684858549-0.0255368485854857
111.29911.32185009115036-0.022750091150364
121.34081.35414384586336-0.0133438458633645
131.31191.31728716118542-0.00538716118542392
141.30141.30572885131265-0.00432885131265439
151.32011.32930360100527-0.0092036010052659
161.29381.29951097102213-0.00571097102213468
171.26941.268403557676140.00099644232385885
181.21651.198637623349620.0178623766503821
191.20371.20882563028746-0.00512563028746252
201.22921.22173840356930.00746159643070151
211.22561.20842756330380.0171724366961998
221.20151.20599780341479-0.00449780341478747
231.17861.19290586365931-0.014305863659309
241.18561.20684641585163-0.0212464158516276
251.21031.22941109890411-0.0191110989041095
261.19381.21517502327348-0.0213750232734798
271.2021.22029270739015-0.0182927073901468
281.22711.25361034490699-0.0265103449069861
291.2771.26725521135220.00974478864779688
301.2651.27867417592856-0.0136741759285636
311.26841.29025114512316-0.0218511451231586
321.28111.28923598215654-0.00813598215653775
331.27271.2782453767965-0.0055453767964963
341.26111.27056526597626-0.00946526597625876
351.28811.29820416521781-0.0101041652178125
361.32131.33367783630432-0.0123778363043212
371.29991.31143178402088-0.0115317840208796
381.30741.3150581049497-0.00765810494970298
391.32421.32560133543074-0.00140133543073699
401.35161.36182074543011-0.0102207454301063
411.35111.36762870084684-0.016528700846843
421.34191.35147071575872-0.00957071575871508
431.37161.37758960792583-0.00598960792582953
441.36221.332480952294460.0297190477055439
451.38961.356675872074280.0329241279257248
461.42271.405235267250530.0174647327494681
471.46841.428796104554550.0396038954454518
481.4571.428491979224410.0285080207755869
491.47181.445669384716010.0261306152839947
501.47481.449296580923730.0255034190762692
511.55271.512433779556870.040266220443133
521.5751.563200986684550.0117990133154547
531.55571.54479154923920.0109084507608035
541.55531.56209329968667-0.00679329968666991
551.5771.575673946764990.00132605323500831
561.49751.51160008502139-0.014100085021391
571.4371.4314918479640.00550815203600369
581.33221.269700566594490.06249943340551
591.27321.234842600715550.0383573992844526
601.34491.335753941397970.00914605860203141
611.32391.34205569496705-0.0181556949670507
621.27851.260827747726810.0176722522731932
631.3051.35323561906589-0.0482356190658892
641.3191.35832962694587-0.0393296269458735
651.3651.38467117177227-0.0196711717722702
661.40161.375057282987160.0265427170128407
671.40881.371319062370190.0374809376298102
681.42681.416334112392090.0104658876079136
691.45621.46023734019676-0.00403734019676425
701.48161.50271227210132-0.0211122721013212
711.49141.483006698883530.00839330111647364
721.46141.458192029897740.00320797010226181
731.42721.43152942923821-0.00432942923821397
741.36861.3697665239768-0.00116652397680068
751.35691.41026201393869-0.0533620139386886
761.34061.38638486575738-0.0457848657573813
771.25651.27614011702264-0.0196401170226437
781.22081.210485277033350.0103147229666521
791.2771.262630513074060.0143694869259367
801.28941.250256818296280.0391431817037234
811.30671.298357434098130.00834256590186939
821.38981.38418439108890.00561560891110238
831.36611.3381856643730.027914335627001
841.3221.32489256611531-0.00289256611531468
851.3361.332454235179780.003545764820222
861.36491.355028741892060.00987125810793545
871.39991.40309910426324-0.00319910426324288
881.44421.46728349425332-0.0230834942533212
891.43491.44881895639264-0.0139189563926349
901.43881.4651356300705-0.0263356300705027
911.42641.44957173678859-0.023171736788594
921.43431.44000641701975-0.00570641701975462
931.3771.356298978158920.0207010218410776
941.37061.338813404267040.0317865957329578
951.35561.31344051442730.0421594855726951


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
145.83358958391742e-061.16671791678348e-050.999994166410416
159.44373502678206e-081.88874700535641e-070.99999990556265
161.39645793135457e-092.79291586270913e-090.999999998603542
174.64812482193756e-119.29624964387513e-110.999999999953519
186.75133010993233e-131.35026602198647e-120.999999999999325
191.75073799994854e-103.50147599989709e-100.999999999824926
208.24913493841431e-061.64982698768286e-050.999991750865062
213.27864166440295e-066.55728332880589e-060.999996721358336
226.12530454219033e-071.22506090843807e-060.999999387469546
231.46666345984402e-072.93332691968803e-070.999999853333654
242.8361275997801e-085.67225519956019e-080.999999971638724
258.61065409476097e-091.72213081895219e-080.999999991389346
263.34703614393602e-096.69407228787204e-090.999999996652964
276.46414428997695e-101.29282885799539e-090.999999999353586
281.43005876198153e-102.86011752396306e-100.999999999856994
292.58814949823141e-115.17629899646283e-110.999999999974118
306.31319058544716e-121.26263811708943e-110.999999999993687
311.82673582444524e-123.65347164889049e-120.999999999998173
325.78421869427863e-131.15684373885573e-120.999999999999422
339.60466349653668e-131.92093269930734e-120.99999999999904
342.08601875404632e-124.17203750809264e-120.999999999997914
356.06864119996496e-121.21372823999299e-110.999999999993931
361.20645522167669e-112.41291044335338e-110.999999999987935
374.78676761471718e-129.57353522943436e-120.999999999995213
383.83096589939402e-127.66193179878803e-120.999999999996169
392.48081372782524e-104.96162745565047e-100.999999999751919
402.40523005562857e-094.81046011125714e-090.99999999759477
412.3828532769692e-084.7657065539384e-080.999999976171467
425.91957091257177e-081.18391418251435e-070.999999940804291
436.47871060606201e-071.2957421212124e-060.999999352128939
440.0007834479659143460.001566895931828690.999216552034086
450.02285011018121290.04570022036242590.977149889818787
460.03678799242041030.07357598484082070.96321200757959
470.4443620303971890.8887240607943780.555637969602811
480.6228849582962980.7542300834074050.377115041703702
490.8993440800433280.2013118399133440.100655919956672
500.9569031922354070.08619361552918550.0430968077645927
510.9765177334971950.04696453300560990.0234822665028049
520.9877157161348680.0245685677302640.012284283865132
530.9850651794509830.02986964109803360.0149348205490168
540.9926139407490650.01477211850187030.00738605925093517
550.991733124733750.01653375053249980.00826687526624989
560.9933247560704380.01335048785912420.00667524392956211
570.9921694176115270.01566116477694580.00783058238847291
580.995699346554310.008601306891379970.00430065344568998
590.9971011858878230.005797628224353870.00289881411217693
600.9998745511923820.0002508976152357090.000125448807617854
610.9998802532969120.0002394934061769950.000119746703088497
620.9999173822832190.0001652354335613948.26177167806968e-05
630.9999611608554887.76782890236701e-053.88391445118351e-05
640.9999814011060333.71977879333135e-051.85988939666567e-05
650.9999890856089032.18287821948979e-051.0914391097449e-05
660.9999919164252281.61671495435345e-058.08357477176724e-06
670.9999879120192272.41759615466913e-051.20879807733457e-05
680.999974294502275.14109954609004e-052.57054977304502e-05
690.9999293896823150.0001412206353690567.06103176845278e-05
700.9998474535019610.0003050929960780370.000152546498039019
710.9996286620799640.0007426758400728730.000371337920036436
720.9994550277820550.001089944435889150.000544972217944574
730.9987380956856960.002523808628606920.00126190431430346
740.9968631211768540.006273757646291780.00313687882314589
750.9945318151808640.01093636963827170.00546818481913583
760.9873335273363230.02533294532735360.0126664726636768
770.9849828757597210.03003424848055790.0150171242402789
780.9731162529673450.05376749406530920.0268837470326546
790.9821104943524580.03577901129508430.0178895056475421
800.9713551684313570.05728966313728690.0286448315686434
810.974860164394240.05027967121151950.0251398356057597


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level480.705882352941177NOK
5% type I error level600.882352941176471NOK
10% type I error level650.955882352941177NOK