Multiple Linear Regression - Estimated Regression Equation
dollar/euro[t] = + 0.736379297486959 + 0.00396306035761503`japanseyen/euro`[t] + 0.0326966020507571M1[t] + 0.0402548296947051M2[t] + 0.0344662394072104M3[t] + 0.0352598018886685M4[t] + 0.0303498489735416M5[t] + 0.0443341545114475M6[t] + 0.0344142389093547M7[t] + 0.0343186178286897M8[t] + 0.0111029233665956M9[t] + 0.0241011607823836M10[t] + 0.0223844437735641M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.7363792974869590.1485584.95681e-055e-06
`japanseyen/euro`0.003963060357615030.0009933.99250.0002280.000114
M10.03269660205075710.0638240.51230.6108480.305424
M20.04025482969470510.0639120.62990.5318420.265921
M30.03446623940721040.0640780.53790.5931970.296598
M40.03525980188866850.0642250.5490.5856040.292802
M50.03034984897354160.0640970.47350.6380480.319024
M60.04433415451144750.0639650.69310.4916570.245828
M70.03441423890935470.0639580.53810.5930620.296531
M80.03431861782868970.0638210.53770.59330.29665
M90.01110292336659560.063810.1740.8626130.431306
M100.02410116078238360.0638110.37770.7073560.353678
M110.02238444377356410.0638270.35070.7273760.363688


Multiple Linear Regression - Regression Statistics
Multiple R0.5301310807215
R-squared0.281038962746945
Adjusted R-squared0.0974744425972294
F-TEST (value)1.53100916515745
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0.146801831859654
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.100890615063093
Sum Squared Residuals0.478409061767028


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.48161.299769312025940.181830687974062
21.45621.304275983194530.151924016805472
31.42681.307087233883060.119712766116942
41.40881.299082802370610.109717197629389
51.40161.303287888278000.0983121117220017
61.3651.303242960149950.061757039850053
71.3191.286982147975670.0320178520243298
81.3051.276582569965210.0284174300347939
91.27851.216312261159410.0621877388405885
101.32391.234977674886590.0889223251134111
111.34491.244278265671940.100621734328061
121.27321.224945378373740.0482546216262614
131.33221.298223718486470.0339762815135263
141.43691.383774973968290.0531250260317147
151.49751.419321103210720.0781788967892847
161.5771.439216616615880.137783383384122
171.55531.425627561517570.129672438482426
181.55571.42395777864290.131742221357099
191.5751.411065567772600.163934432227403
201.55271.391273536714580.161426463285415
211.47481.3735268655460.101273134454001
221.47181.389338875815690.0824611241843057
231.4571.406922262748460.0500777372515401
241.46841.381922199138870.08647780086113
251.42271.42278270552631-8.2705526313915e-05
261.38961.41001043353570-0.0204104335356969
271.36221.40117028677284-0.0389702867728385
281.37161.43251904461151-0.0609190446115086
291.34191.41885072830605-0.0769507283060524
301.35111.42756416356833-0.0764641635683304
311.35161.40757807465790-0.0559780746578955
321.32421.38592340523180-0.0617234052318047
331.30741.37206053321368-0.0646605332136821
341.29991.38093718785755-0.0810371878575503
351.32131.37232474582648-0.0510247458264808
361.28811.33523734812617-0.0471373481261649
371.26111.36214788205480-0.101047882054804
381.27271.36709048986273-0.0943904898627262
391.28111.35947889181073-0.0783788918107285
401.26841.35302005383775-0.0846200538377511
411.2651.34180883495402-0.0768088349540164
421.2771.34624216503007-0.06924216503007
431.22711.33984937314625-0.112749373146255
441.2021.32933090332506-0.127330903325062
451.19381.30536222739502-0.111562227395021
461.21031.3145559268675-0.104255926867499
471.18561.31589076633404-0.130290766334043
481.17861.28958289280644-0.110982892806440
491.20151.31617638190647-0.114676381906470
501.22561.31584811943876-0.0902481194387638
511.22921.30974248432266-0.0805424843226598
521.20371.30566148256425-0.101961482564252
531.21651.29072498694436-0.0742249869443587
541.26941.31719293260875-0.0477929326087519
551.29381.32102483644758-0.0272248364475831
561.32011.32088958476334-0.000789584763342042
571.30141.288638112685890.0127618873141142
581.31191.297990334572670.0139096654273322
591.34081.310183959419080.0306160405809229
601.29911.275712181554790.0233878184452127


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.5257523378119070.9484953243761860.474247662188093
170.4190380916921870.8380761833843750.580961908307813
180.3818960698376830.7637921396753660.618103930162317
190.5057302329138220.9885395341723560.494269767086178
200.6475640740751120.7048718518497760.352435925924888
210.6297160347945420.7405679304109170.370283965205458
220.6407214510472260.7185570979055470.359278548952774
230.661396906942520.6772061861149610.338603093057480
240.6721168641370400.6557662717259210.327883135862960
250.8230467677785510.3539064644428980.176953232221449
260.8906776933539150.2186446132921700.109322306646085
270.9255594173778340.1488811652443330.0744405826221665
280.96478543769430.07042912461140.0352145623057
290.9776485399189050.04470292016218960.0223514600810948
300.9789532545177370.04209349096452690.0210467454822635
310.9769519173059940.04609616538801150.0230480826940057
320.9724441175923360.05511176481532740.0275558824076637
330.9620250030124790.07594999397504260.0379749969875213
340.950157218060250.09968556387949930.0498427819397497
350.9285099285825640.1429801428348730.0714900714174363
360.897094760764220.2058104784715610.102905239235780
370.8808578777353050.238284244529390.119142122264695
380.8513845678379190.2972308643241620.148615432162081
390.8135209120300970.3729581759398060.186479087969903
400.8059877190780930.3880245618438140.194012280921907
410.8841122942493490.2317754115013030.115887705750651
420.9547641508063630.09047169838727480.0452358491936374
430.9417189140442340.1165621719115320.0582810859557661
440.891539235386320.2169215292273590.108460764613680


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.103448275862069NOK
10% type I error level80.275862068965517NOK