Multiple Linear Regression - Estimated Regression Equation
Y[t] = -84.0566908132394 -0.000303517913451653X1[t] -0.0754939742248655x2[t] + 0.221797591504753x3[t] -0.192347954739755x4[t] + 0.10431171875053x5[t] -0.243984902971775x6[t] -0.0105994704387667x7[t] -2.39503071941112x8[t] + 20.1648396846171x9[t] + 2.19785317659788M1[t] + 1.1316588093391M2[t] + 2.75119613746961M3[t] + 2.13168415609254M4[t] + 2.55832412088507M5[t] + 2.9171779986621M6[t] + 2.32598949476699M7[t] + 2.98073849591366M8[t] + 3.00379920147777M9[t] + 2.52594848897842M10[t] + 1.53117546268288M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-84.056690813239418.758146-4.48111.7e-059e-06
X1-0.0003035179134516530.001353-0.22430.82290.41145
x2-0.07549397422486550.06277-1.20270.2314740.115737
x30.2217975915047530.2908350.76260.4471980.223599
x4-0.1923479547397550.069333-2.77430.0064260.003213
x50.104311718750530.0614061.69870.0919830.045991
x6-0.2439849029717750.188166-1.29660.1972620.098631
x7-0.01059947043876670.348934-0.03040.9758170.487909
x8-2.395030719411120.206107-11.620300
x920.16483968461711.63545412.329800
M12.197853176597883.1056040.70770.4805120.240256
M21.13165880933913.1522940.3590.7202350.360117
M32.751196137469613.0374410.90580.3668930.183446
M42.131684156092543.0601880.69660.487420.24371
M52.558324120885073.0957070.82640.4102250.205113
M62.91717799866213.1568470.92410.3573150.178657
M72.325989494766993.0530880.76180.4476580.223829
M82.980738495913663.1040020.96030.3388570.169428
M93.003799201477773.1174570.96350.337230.168615
M102.525948488978423.1767030.79510.4281110.214055
M111.531175462682883.1355480.48830.6262160.313108


Multiple Linear Regression - Regression Statistics
Multiple R0.986482074141833
R-squared0.973146882603172
Adjusted R-squared0.968633753628915
F-TEST (value)215.625763888882
F-TEST (DF numerator)20
F-TEST (DF denominator)119
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7.18313826126398
Sum Squared Residuals6140.09955837171


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11-27.14123767214528.141237672145
22-21.381480194970423.3814801949704
33-12.421806540029115.4218065400291
44-7.9862869840812211.9862869840812
55-1.41618028790636.4161802879063
664.795672159571221.20432784042878
774.144060580956612.85593941904339
886.365091990836731.63490800916327
998.695192856657010.304807143342989
101015.5157540950114-5.51575409501138
111116.219100975857-5.21910097585698
121218.5323021683933-6.53230216839332
131320.406366598864-7.406366598864
141419.8435524378524-5.84355243785239
151518.432593057388-3.43259305738799
161621.4416269854276-5.44162698542761
171722.155307183601-5.15530718360099
181821.3250838320561-3.32508383205614
191925.2555869880356-6.2555869880356
202027.398695077498-7.39869507749802
212128.0969225010849-7.09692250108493
222226.9192813769719-4.91928137697194
232326.8715254443768-3.87152544437677
242428.5166028977404-4.51660289774038
252533.5987024477154-8.59870244771543
262632.4267181470482-6.42671814704822
272728.899275623408-1.89927562340796
282834.9229383187051-6.92293831870505
292930.1574857668903-1.15748576689027
303031.0596543419701-1.05965434197009
313133.2952009136207-2.29520091362067
323235.5289875536016-3.52898755360163
333337.2710066302306-4.2710066302306
343435.2806112135037-1.2806112135037
353535.5961239631213-0.596123963121266
363631.5254367794474.47456322055299
373735.12911680184521.87088319815475
383836.50181793418821.49818206581177
393937.24373065207911.75626934792091
404037.68353655043782.31646344956223
414136.86321249172444.13678750827563
424232.61212780943959.38787219056046
434339.7940886899873.20591131001301
444438.32040304645955.67959695354046
454538.4965358017826.50346419821802
464639.97626584925166.02373415074841
474738.6101325547138.38986744528697
484859.3137869469594-11.3137869469594
494961.9559420791622-12.9559420791622
505060.5013098691633-10.5013098691633
515161.9281962323459-10.9281962323459
525263.5560564521176-11.5560564521176
535361.5195171084497-8.51951710844967
545464.2081457302502-10.2081457302502
555562.1454255848327-7.14542558483268
565663.0128679383006-7.01286793830061
575760.8151096529911-3.81510965299108
585863.4426351054403-5.44263510544028
595964.2799600787545-5.27996007875449
606062.8717721139433-2.87177211394332
616164.2965757535206-3.29657575352061
626265.1188453784093-3.11884537840931
636367.2585089674599-4.25850896745987
646463.97748394718290.0225160528170822
656566.0727841443748-1.07278414437482
666667.5348964808628-1.53489648086275
676766.23619773885360.76380226114644
686870.6272894864995-2.62728948649952
696971.5432760961209-2.5432760961209
707072.4052468263476-2.40524682634765
717171.0029587888531-0.00295878885305984
727271.42872615518240.571273844817625
737375.8773910824413-2.87739108244134
747478.3536329421367-4.35363294213672
757578.6655054518917-3.66550545189168
767679.5744677832599-3.57446778325987
777776.31758350163880.682416498361166
787877.74346699879390.256533001206045
797980.3527493161922-1.3527493161922
808083.8936404291945-3.89364042919449
818174.70254428052466.29745571947539
828280.70762083268571.29237916731434
838376.7748489478116.22515105218901
848475.71102628370968.28897371629041
858580.55260661360744.44739338639261
868681.95338710575974.04661289424035
878782.1232393334054.87676066659497
888878.02703185781749.97296814218255
898981.60919650939777.39080349060232
909080.45805765310619.54194234689391
919183.05944378932047.94055621067962
929285.07760260119326.92239739880679
939384.85274877533738.14725122466269
949486.8058184339647.19418156603604
9595105.776696163529-10.7766961635288
9696101.954792019119-5.95479201911936
9797102.385222572926-5.38522257292647
9898105.712127195236-7.71212719523618
9999107.189869285201-8.18986928520112
100100106.023041403116-6.02304140311609
101101107.699572065198-6.69957206519802
102102112.129960323344-10.1299603233441
103103107.09185944827-4.09185944826964
104104108.519257395363-4.51925739536271
105105111.258917802309-6.25891780230916
106106109.050267374243-3.0502673742427
107107105.8621868748221.13781312517759
108108106.0308859171521.96911408284808
109109117.001508195476-8.00150819547648
110110110.665207879909-0.665207879908682
111111112.027096366452-1.02709636645194
112112112.688813203949-0.688813203948884
113113116.178972357175-3.17897235717464
114114116.814662167795-2.81466216779508
115115116.85354573016-1.85354573015959
116116110.8927636640885.10723633591167
117117117.2867242826-0.286724282600402
118118117.7954672693650.204532730635414
119119114.2619194626094.73808053739058
120120113.5165400435966.48345995640405
121121117.0977456265633.90225437343734
122122119.7321256900012.26787430999851
123123120.7634439409882.23655605901164
124124121.4699678667242.53003213327603
125125118.1980892684616.80191073153939
126126127.212812065694-1.21281206569369
127127124.8216608356942.17833916430644
128128125.907493682932.09250631707016
129129125.9810213203623.01897867963798
130130122.1010316232177.89896837678346
131131125.7445467455535.25545325444717
132132122.5981286747579.40187132524254
133133122.84005990002310.1599400999768
134134126.5727556152667.42724438473383
135135125.890347629419.10965237058982
136136128.6213226153447.37867738465597
137137136.6444598909960.355540109003613
138138128.1054604371179.89453956288284
139139132.9501803840786.04981961592151
140140132.4559071340357.54409286596462


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
240.6803336616860690.6393326766278630.319666338313931
250.7011033252640550.597793349471890.298896674735945
260.5847147552770830.8305704894458330.415285244722917
270.55851298559610.88297402880780.4414870144039
280.9131600198877840.1736799602244320.0868399801122162
290.9398691228671170.1202617542657650.0601308771328826
300.9468580423212490.1062839153575020.0531419576787509
310.981162895502280.03767420899544050.0188371044977202
320.9915259193148080.01694816137038430.00847408068519216
330.9977144206274390.004571158745121350.00228557937256067
340.9990793716882670.001841256623466550.000920628311733277
350.9985581885409390.00288362291812120.0014418114590606
360.9999454236417230.0001091527165548445.45763582774221e-05
370.999932118101230.0001357637975400086.78818987700042e-05
380.9999404673530890.000119065293822935.95326469114648e-05
390.99992956337480.0001408732504007227.04366252003612e-05
400.9999997403509985.19298003250503e-072.59649001625252e-07
410.9999999566806038.66387937638943e-084.33193968819472e-08
420.9999999571658678.56682661947482e-084.28341330973741e-08
430.9999999389368661.22126268420574e-076.10631342102868e-08
440.999999989103592.179281953153e-081.0896409765765e-08
450.9999999971305225.73895568265828e-092.86947784132914e-09
460.9999999982257493.54850229304579e-091.77425114652289e-09
470.9999999975931384.81372473965954e-092.40686236982977e-09
480.9999999985659232.86815412190954e-091.43407706095477e-09
490.9999999996711056.5779098917742e-103.2889549458871e-10
500.9999999996094067.81187137340641e-103.90593568670321e-10
510.999999999306771.38646004386966e-096.93230021934832e-10
520.9999999992461821.50763569512757e-097.53817847563784e-10
530.9999999986264672.74706674981e-091.373533374905e-09
540.9999999973228315.35433855668263e-092.67716927834132e-09
550.9999999982115343.57693112448144e-091.78846556224072e-09
560.9999999965219246.95615117346193e-093.47807558673096e-09
570.9999999934337841.31324316705463e-086.56621583527314e-09
580.9999999923664731.52670548749083e-087.63352743745417e-09
590.9999999827573193.44853614243898e-081.72426807121949e-08
600.999999976377914.7244179234828e-082.3622089617414e-08
610.999999961548487.69030390926361e-083.84515195463181e-08
620.9999999693309376.13381263676519e-083.0669063183826e-08
630.999999986883482.62330391141823e-081.31165195570912e-08
640.9999999951976719.60465752896907e-094.80232876448454e-09
650.9999999934906971.30186060463573e-086.50930302317865e-09
660.9999999948142191.0371562139988e-085.185781069994e-09
670.9999999891287832.17424343125333e-081.08712171562667e-08
680.999999984400363.11992803116356e-081.55996401558178e-08
690.9999999689126276.21747468108432e-083.10873734054216e-08
700.9999999370120561.25975888707459e-076.29879443537293e-08
710.9999999121279781.7574404447135e-078.78720222356752e-08
720.9999999222582021.55483596412861e-077.77417982064305e-08
730.9999999085069291.8298614269136e-079.14930713456798e-08
740.999999986674852.66502999900167e-081.33251499950084e-08
750.9999999987460472.50790600339939e-091.25395300169969e-09
760.9999999995459839.08034699589232e-104.54017349794616e-10
770.9999999998358983.28203227411888e-101.64101613705944e-10
780.9999999999740995.1801190842497e-112.59005954212485e-11
790.9999999999921081.57840233768706e-117.89201168843528e-12
800.9999999999906191.87630156077485e-119.38150780387423e-12
810.9999999999842643.14724909990646e-111.57362454995323e-11
820.9999999999607767.84486555669169e-113.92243277834584e-11
830.9999999999765744.68525980050402e-112.34262990025201e-11
840.9999999999765454.69106293292317e-112.34553146646158e-11
850.9999999999629987.40038972009078e-113.70019486004539e-11
860.9999999999615477.69066059010869e-113.84533029505435e-11
870.9999999999038391.92321301087699e-109.61606505438494e-11
880.9999999998073283.85343209385454e-101.92671604692727e-10
890.999999999542569.14879289144194e-104.57439644572097e-10
900.9999999994745571.05088610525452e-095.25443052627261e-10
910.9999999992098391.58032226065817e-097.90161130329084e-10
920.9999999987844092.43118251080828e-091.21559125540414e-09
930.9999999978820624.23587530925428e-092.11793765462714e-09
940.9999999931082661.3783467775991e-086.89173388799549e-09
950.999999994398231.12035396026167e-085.60176980130836e-09
960.999999980805353.83892998856556e-081.91946499428278e-08
970.9999999933832971.32334049357086e-086.61670246785432e-09
980.9999999956775488.64490426661281e-094.32245213330641e-09
990.9999999882186392.35627227646732e-081.17813613823366e-08
1000.9999999821412233.57175540534492e-081.78587770267246e-08
1010.9999999360590181.2788196456996e-076.39409822849798e-08
1020.9999997873342994.25331401126296e-072.12665700563148e-07
1030.9999994629286451.07414271061993e-065.37071355309963e-07
1040.999998186290883.62741823906011e-061.81370911953006e-06
1050.9999949550371711.00899256581733e-055.04496282908666e-06
1060.999986213607322.75727853607784e-051.37863926803892e-05
1070.9999674244002556.51511994905576e-053.25755997452788e-05
1080.9999044673989630.0001910652020731929.55326010365961e-05
1090.9997686172268020.0004627655463954620.000231382773197731
1100.9993317533308590.00133649333828150.000668246669140751
1110.9989271293494710.002145741301058710.00107287065052936
1120.9969632568786130.006073486242773140.00303674312138657
1130.9944949274533680.01101014509326370.00550507254663186
1140.9835077666778960.03298446664420820.0164922333221041
1150.9925123614425550.014975277114890.00748763855744499
1160.9774814838449730.04503703231005390.022518516155027


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level800.860215053763441NOK
5% type I error level860.924731182795699NOK
10% type I error level860.924731182795699NOK