Multiple Linear Regression - Estimated Regression Equation
A[t] = + 145.016754183974 -0.000129868926349765B[t] -0.155238040790202C[t] + 0.90237237994061D[t] -0.352726507365147E[t] + 0.258857530986131F[t] -0.587179897836293G[t] -0.354649644645532H[t] -3.78028069397647I[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)145.0167541839743.58999440.394700
B-0.0001298689263497650.001861-0.06980.9444720.472236
C-0.1552380407902020.085614-1.81320.0720870.036043
D0.902372379940610.4006842.25210.0259810.012991
E-0.3527265073651470.094166-3.74580.0002680.000134
F0.2588575309861310.0844043.06690.0026280.001314
G-0.5871798978362930.264192-2.22260.0279610.013981
H-0.3546496446455320.481376-0.73670.4625970.231299
I-3.780280693976470.233686-16.176700


Multiple Linear Regression - Regression Statistics
Multiple R0.968502611781777
R-squared0.937997309028124
Adjusted R-squared0.934210885151979
F-TEST (value)247.72644049115
F-TEST (DF numerator)8
F-TEST (DF denominator)131
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.4030329195381
Sum Squared Residuals14177.2253041742


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11-49.958646005542750.9586460055427
22-40.428273425281242.4282734252812
33-27.547607404400130.5476074044001
44-24.57524187255428.575241872554
55-13.277592858183218.2775928581832
661.125893346943954.87410665305605
77-1.570508232853728.57050823285372
88-1.691740737134299.69174073713429
992.529002312154626.47099768784538
101016.0444293639154-6.0444293639154
111118.9834296360241-7.98342963602406
121221.7151463698325-9.71514636983251
131323.9209976563343-10.9209976563343
141423.7554560893341-9.75545608933414
151519.1612934814923-4.16129348149229
161623.6995715267009-7.69957152670091
171725.0209423851123-8.02094238511229
181822.9750332213382-4.97503322133816
191929.5644638573717-10.5644638573717
202032.084865075885-12.084865075885
212132.8364845369256-11.8364845369256
222232.5030100985634-10.5030100985634
232332.8769048101896-9.87690481018959
242438.153030792919-14.153030792919
252543.9228946672244-18.9228946672244
262642.5115868675937-16.5115868675937
272733.6999258472572-6.69992584725723
282849.2720078610296-21.2720078610296
292936.7998528467639-7.7998528467639
303036.7605424142416-6.76054241424161
313141.8289368849396-10.8289368849396
323245.2450179134025-13.2450179134025
333348.1187571862122-15.1187571862122
343444.7204366033766-10.7204366033766
353544.9074319532361-9.90743195323611
363643.6686318086221-7.66863180862209
373744.7738255589076-7.77382555890756
383849.684044264545-11.684044264545
393947.1840506016611-8.18405060166113
404051.8126891531144-11.8126891531144
414149.0035965952436-8.00359659524361
424239.17495395271552.82504604728448
434352.206426019059-9.20642601905896
444450.2362345716309-6.23623457163092
454548.9050289835539-3.90502898355392
464652.3423274036941-6.34232740369412
474751.5286698626429-4.52866986264291
484855.5322018853448-7.53220188534485
494956.7935817536887-7.79358175368868
505054.6877925944591-4.68779259445906
515155.1326113051205-4.13261130512046
525258.1697375711184-6.16973757111838
535355.9449183467428-2.94491834674284
545458.6905186642976-4.69051866429762
555556.8053263619326-1.80532636193257
565657.0204771193634-1.02047711936339
575753.72400902347653.27599097652351
585858.9136561500612-0.913656150061204
595960.8331808777179-1.8331808777179
606062.2438779217031-2.24387792170314
616158.52607976156532.47392023843466
626262.6770959589676-0.677095958967611
636363.4221181992477-0.422118199247679
646460.40113490827013.59886509172988
656564.15909095442490.840909045575145
666665.89839222565130.101607774348649
676761.07883328441255.92116671558746
686870.7732583920815-2.77325839208153
696969.2889694585612-0.288969458561185
707071.5026509968387-1.50265099683868
717171.1289730023498-0.12897300234975
727272.9305616624163-0.930561662416291
737376.9133866009824-3.91338660098238
747485.5557127588152-11.5557127588152
757583.0058955407454-8.00589554074539
767683.2382623126643-7.23826231266433
777776.58955693599960.410443064000378
787880.7885939055093-2.78859390550926
797987.2375388368432-8.23753883684316
808091.4079625799926-11.4079625799926
818176.3170961820564.68290381794398
828287.2440227341449-5.24402273414487
838382.81455497011760.185445029882385
848480.72281744855113.27718255144895
858586.4158715014034-1.4158715014034
868690.2301285634238-4.23012856342381
878787.4747920049338-0.474792004933763
888882.44739624753685.55260375246318
898986.27466533527092.72533466472907
909084.46851057289645.53148942710361
919190.01206363292070.987936367079345
929294.969433068649-2.96943306864903
939390.36293810406542.6370618959346
949498.0178288474365-4.01782884743654
959595.5662949439886-0.566294943988613
969691.85044699725794.14955300274213
979789.14359275284597.85640724715409
989896.29417437058921.70582562941084
999996.29154764991972.70845235008033
10010095.46980572626564.53019427373441
10110199.26640118216131.73359881783873
102102104.496425827801-2.4964258278008
10310396.31346373118426.68653626881578
10410497.70121006703356.29878993296652
105105102.4812840609222.51871593907811
10610699.69896682200736.30103317799275
10710797.32476133598069.67523866401939
10810895.808477543890812.1915224561092
109109116.822875890054-7.82287589005431
11011099.92518572566810.074814274332
111111102.8376478910888.16235210891239
112112106.0144350132985.98556498670234
113113107.9077491633955.09225083660508
114114110.1155138351553.88448616484527
115115113.9714606858851.02853931411545
116116100.80306542464415.1969345753563
117117113.3035273823123.69647261768779
118118113.2179734613534.78202653864684
119119110.1840400776678.81595992233275
120120110.6509150049139.349084995087
121121113.3970947577987.6029052422019
122122120.2359910591371.76400894086336
123123114.0986024667028.90139753329798
124124120.6297932617023.37020673829805
125125114.86718587224110.132814127759
126126127.136846985873-1.13684698587273
127127124.1285730970672.87142690293333
128128125.9500805882382.04991941176239
129129128.4721709609760.5278290390237
130130119.29867855205810.7013214479417
131131123.4085128294667.59148717053362
132132124.3295007485217.67049925147878
133133122.78904511669810.2109548833018
134134124.4395881026339.56041189736669
135135125.5275514869419.47244851305912
136136128.8882480519077.11175194809279
137137149.760838244646-12.7608382446463
138138129.6433743277638.35662567223693
139139133.5625876833285.43741231667183
140140130.9782023284999.02179767150117


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.005682772932640320.01136554586528060.99431722706736
130.001372556333774620.002745112667549250.998627443666225
140.002147752262702290.004295504525404570.997852247737298
150.00302741343313290.006054826866265790.996972586566867
160.06918358634039280.1383671726807860.930816413659607
170.07630582211723340.1526116442344670.923694177882767
180.09564101832019010.191282036640380.90435898167981
190.1480906963366660.2961813926733330.851909303663334
200.1056292589167920.2112585178335850.894370741083208
210.1953251131641160.3906502263282330.804674886835884
220.26106539460760.5221307892152010.7389346053924
230.2990655796685170.5981311593370340.700934420331483
240.2687796727184180.5375593454368360.731220327281582
250.3400201014693380.6800402029386760.659979898530662
260.2728346815155630.5456693630311250.727165318484437
270.5637634516580430.8724730966839150.436236548341958
280.5676182206711410.8647635586577190.432381779328859
290.6891052941488810.6217894117022370.310894705851119
300.7893088847746950.421382230450610.210691115225305
310.9295411579994470.1409176840011060.070458842000553
320.9586639226278440.08267215474431130.0413360773721556
330.9819482338277080.03610353234458320.0180517661722916
340.9896133793797590.02077324124048220.0103866206202411
350.9929602336441660.01407953271166850.00703976635583423
360.9965796379256560.006840724148688870.00342036207434444
370.9979247253116050.004150549376790520.00207527468839526
380.9993330168384240.001333966323152340.000666983161576168
390.9996304899236970.0007390201526062920.000369510076303146
400.9999210843053880.0001578313892232147.89156946116069e-05
410.9999782171662274.35656675463065e-052.17828337731532e-05
420.9999910301340941.79397318120342e-058.96986590601711e-06
430.9999927446455391.45107089211208e-057.25535446056039e-06
440.9999979398069424.12038611519914e-062.06019305759957e-06
450.9999996679140916.64171817175457e-073.32085908587728e-07
460.9999997867110444.2657791228762e-072.1328895614381e-07
470.9999998179438283.64112344043032e-071.82056172021516e-07
480.999999974361815.12763790920695e-082.56381895460348e-08
490.9999999922936311.54127376398761e-087.70636881993804e-09
500.999999997728274.54346079722624e-092.27173039861312e-09
510.9999999989968012.00639721208881e-091.00319860604441e-09
520.9999999997033065.93387685255278e-102.96693842627639e-10
530.9999999998534822.93036554167122e-101.46518277083561e-10
540.999999999918411.63179661161187e-108.15898305805934e-11
550.9999999999695336.09335007391686e-113.04667503695843e-11
560.9999999999819173.61655626367602e-111.80827813183801e-11
570.9999999999920521.5896061318983e-117.94803065949148e-12
580.9999999999976214.75741959537606e-122.37870979768803e-12
590.9999999999972665.46773556597028e-122.73386778298514e-12
600.9999999999977794.44214899927688e-122.22107449963844e-12
610.999999999999371.25942009235662e-126.29710046178309e-13
620.9999999999998143.72918805053534e-131.86459402526767e-13
630.9999999999999764.71922803874804e-142.35961401937402e-14
640.9999999999999967.29306887531553e-153.64653443765777e-15
650.9999999999999951.02381713995228e-145.11908569976141e-15
660.9999999999999951.00784698991714e-145.0392349495857e-15
670.9999999999999967.92195228598328e-153.96097614299164e-15
680.9999999999999968.70559171225156e-154.35279585612578e-15
690.9999999999999941.25876383142954e-146.29381915714771e-15
700.9999999999999872.51297171058686e-141.25648585529343e-14
710.9999999999999794.25053325582036e-142.12526662791018e-14
720.9999999999999666.80247516555149e-143.40123758277575e-14
730.9999999999999588.36129674877817e-144.18064837438909e-14
740.9999999999999968.36774642576975e-154.18387321288487e-15
7516.85409215982486e-163.42704607991243e-16
7612.14594335139559e-161.0729716756978e-16
7714.69410453413289e-172.34705226706644e-17
7811.47145310289212e-177.35726551446062e-18
7911.21262270495144e-186.0631135247572e-19
8012.83331598692707e-191.41665799346354e-19
8114.4908750586645e-192.24543752933225e-19
8219.74421951474871e-194.87210975737436e-19
8311.36536487386336e-186.82682436931681e-19
8412.94696464127018e-181.47348232063509e-18
8518.41361074921124e-184.20680537460562e-18
8615.83935767029717e-182.91967883514858e-18
8715.91075209949756e-182.95537604974878e-18
8819.31808895421638e-184.65904447710819e-18
8912.11852699188789e-171.05926349594395e-17
9014.46012588904787e-172.23006294452393e-17
9112.2409895493625e-171.12049477468125e-17
9214.58992565064664e-182.29496282532332e-18
9313.07371740824819e-181.53685870412409e-18
9415.82835701109395e-182.91417850554698e-18
9511.03205547129351e-175.16027735646753e-18
9613.18430817222848e-171.59215408611424e-17
9711.75156592462775e-178.75782962313873e-18
9813.48914276519211e-171.74457138259606e-17
9911.17582284688626e-165.87911423443128e-17
10012.47834076904873e-161.23917038452437e-16
10119.87102500311394e-164.93551250155697e-16
1020.9999999999999984.5291811303737e-152.26459056518685e-15
1030.9999999999999967.18659802768236e-153.59329901384118e-15
1040.9999999999999941.26940376539756e-146.34701882698779e-15
1050.9999999999999853.00280234578758e-141.50140117289379e-14
1060.9999999999999647.26356354965487e-143.63178177482744e-14
1070.9999999999998323.35174679688071e-131.67587339844036e-13
1080.9999999999995499.02167931180117e-134.51083965590058e-13
1090.9999999999979144.17108141317254e-122.08554070658627e-12
1100.9999999999936151.27692803046152e-116.3846401523076e-12
1110.9999999999781784.36440904728317e-112.18220452364159e-11
1120.9999999998985652.02869850166807e-101.01434925083403e-10
1130.9999999998654032.69194129618786e-101.34597064809393e-10
1140.9999999997374735.25053103918915e-102.62526551959458e-10
1150.9999999999269891.46021717742457e-107.30108588712287e-11
1160.9999999998451413.09717423512096e-101.54858711756048e-10
1170.9999999991324511.73509893962209e-098.67549469811044e-10
1180.9999999998130323.73936992366756e-101.86968496183378e-10
1190.9999999988274932.34501299534003e-091.17250649767001e-09
1200.9999999919002191.61995613515735e-088.09978067578675e-09
1210.9999999629172747.41654524807731e-083.70827262403866e-08
1220.9999998654062642.69187472772377e-071.34593736386188e-07
1230.9999995348715919.30256817948001e-074.65128408974e-07
1240.9999970344258825.93114823608881e-062.96557411804441e-06
1250.9999822290570483.55418859048649e-051.77709429524324e-05
1260.9998545229976330.0002909540047342370.000145477002367118
1270.9988923456266710.002215308746658650.00110765437332932
1280.997282273347050.005435453305900310.00271772665295016


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level960.82051282051282NOK
5% type I error level1000.854700854700855NOK
10% type I error level1010.863247863247863NOK