Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 1.00534172096945 + 0.104125740041533X[t] + 0.953792248854353`y(t-1)`[t] -0.353608708255487`y(t-2)`[t] -0.120038817733203M1[t] -0.0200034714829910M2[t] -0.083701842016721M3[t] -0.093534271571743M4[t] + 0.120752434670518M5[t] -0.3598303808755M6[t] -0.287254502541916M7[t] -0.287172802964734M8[t] -0.217506131383949M9[t] + 0.0272760961556319M10[t] + 0.126370704489030M11[t] -0.000124744305243137t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.005341720969450.3806072.64140.0109330.005466
X0.1041257400415330.0246444.22519.9e-054.9e-05
`y(t-1)`0.9537922488543530.1544346.176100
`y(t-2)`-0.3536087082554870.12094-2.92380.0051460.002573
M1-0.1200388177332030.125125-0.95940.3419070.170953
M2-0.02000347148299100.129414-0.15460.8777710.438886
M3-0.0837018420167210.132667-0.63090.5309110.265456
M4-0.0935342715717430.134679-0.69450.4905220.245261
M50.1207524346705180.1691830.71370.4786420.239321
M6-0.35983038087550.127765-2.81640.006890.003445
M7-0.2872545025419160.143099-2.00740.0500220.025011
M8-0.2871728029647340.137875-2.08280.0422980.021149
M9-0.2175061313839490.149302-1.45680.1512960.075648
M100.02727609615563190.1462930.18640.8528330.426416
M110.1263707044890300.1299640.97230.3354660.167733
t-0.0001247443052431370.001499-0.08320.9340090.467004


Multiple Linear Regression - Regression Statistics
Multiple R0.963304547754958
R-squared0.927955651725384
Adjusted R-squared0.906766137526968
F-TEST (value)43.7931536813967
F-TEST (DF numerator)15
F-TEST (DF denominator)51
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.199820452761184
Sum Squared Residuals2.03633888042591


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
17.57.72967726491395-0.22967726491395
26.86.95484765389596-0.154847653895955
36.56.400174318986680.0998256810133238
46.66.351605566248950.248394433751053
57.67.537759841855390.0622401581446084
687.975483660032930.0245163399670651
78.18.075842985347530.0241570146524692
87.77.79024648010718-0.0902464801071824
97.57.442910637015430.0570893629845652
107.67.6382531537811-0.0382531537810969
117.87.78878567030010.0112143296999025
127.87.81768780045115-0.0176878004511470
137.87.62680249676160.173197503238397
147.57.8100136907398-0.310013690739799
157.57.460052901244520.0399470987554803
167.17.5561783398609-0.456178339860901
177.57.440886272276940.0591137277230566
187.57.483139095269620.0168609047303809
197.67.414146745995770.185853254004235
207.77.644846388207130.0551536117928682
217.77.77440666954256-0.0744066695425606
227.97.98370328195135-0.0837032819513493
238.18.075592689671460.0244073103285375
248.28.069133948996960.130866051003037
258.27.973627870192850.226372129807146
268.27.819513547225050.380486452774946
277.97.755690432386080.14430956761392
287.37.45959558386951-0.159595583869511
296.97.12426421693733-0.224264216937335
306.66.474204982497630.125795017502374
316.76.401961925171850.298038074828145
326.96.697093883843260.202906116156745
3376.922033390064120.0779666099358808
347.17.1913483565328-0.0913483565327949
357.27.225385686571-0.0253856865709956
367.17.15890859183661-0.0589085918366104
376.96.90800493408718-0.00800493408717858
3876.737979643041140.262020356958860
396.86.8402574947387-0.0402574947386995
406.46.60418100028201-0.204181000282014
416.76.74703700642392-0.0470370064239158
426.66.69391060453116-0.0939106045311558
436.46.56489990119741-0.164899901197414
446.36.180382649432660.119617350567341
456.26.22526709347386-0.0252670934738619
466.56.409906222648310.0900937773516862
476.86.88243750217909-0.0824375021790897
486.86.93599711556448-0.135997115564476
496.46.70975094104938-0.309750941049384
506.16.21989316336955-0.119893163369546
515.86.01137585717646-0.211375857176461
526.15.821363621136540.278636378863464
537.27.114975754480620.085024245519375
547.37.5773570558925-0.277357055892507
556.97.35621783572525-0.456217835725247
566.16.38743059840977-0.287430598409771
575.85.83538220990402-0.0353822099040236
586.26.076788985086440.123211014913555
597.17.027798451278350.0722015487216452
607.77.61827254315080.0817274568491964
617.97.752136492995030.147863507004969
627.77.7577523017285-0.0577523017285054
637.47.43244899546756-0.0324489954675638
647.57.207075888602090.292924111397909
6587.935076908025790.0649230919742107
668.17.895904601776160.204095398223843
6787.886930606562190.113069393437811


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.3322298812975810.6644597625951620.667770118702419
200.1882390280326690.3764780560653380.811760971967331
210.2812262032050160.5624524064100310.718773796794984
220.1980392744719290.3960785489438590.80196072552807
230.1209250825988730.2418501651977460.879074917401127
240.09852204550254250.1970440910050850.901477954497458
250.07061062243145150.1412212448629030.929389377568548
260.1696646831653190.3393293663306370.830335316834681
270.1815856758865150.3631713517730310.818414324113485
280.1456967917889230.2913935835778460.854303208211077
290.3595009016240640.7190018032481280.640499098375936
300.2787629293231950.5575258586463890.721237070676805
310.4424650272471840.8849300544943680.557534972752816
320.4276822996744250.855364599348850.572317700325575
330.4206403157368470.8412806314736940.579359684263153
340.4199224160557950.839844832111590.580077583944205
350.3577946746607130.7155893493214260.642205325339287
360.3119975206993150.6239950413986310.688002479300684
370.2599694871583670.5199389743167340.740030512841633
380.3595807763801430.7191615527602870.640419223619857
390.3692977325003090.7385954650006190.63070226749969
400.4037520686039680.8075041372079360.596247931396032
410.3095376026213650.619075205242730.690462397378635
420.2577277507031990.5154555014063990.7422722492968
430.2784820088428840.5569640176857680.721517991157116
440.5749066767954540.8501866464090930.425093323204546
450.4984583127051820.9969166254103640.501541687294818
460.5661187241901530.8677625516196940.433881275809847
470.5526724270271860.8946551459456290.447327572972814
480.9195047504051780.1609904991896440.0804952495948221


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