Multiple Linear Regression - Estimated Regression Equation
Sol.KIA[t] = + 18.434748427673 + 56.6415094339623dummy[t] -2.92791629230297M1[t] -14.9365828092243M2[t] -22.8023921832884M3[t] -14.0967729859239M4[t] -18.3911537885594M5[t] -13.9712488769092M6[t] -4.55134396525905M7[t] -11.4683662773285M8[t] -12.7120956873315M9[t] -9.98311620245583M10[t] -32.0151430068883M11[t] + 0.151523659778377t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18.43474842767315.660211.17720.2433550.121677
dummy56.64150943396238.3196856.808100
M1-2.9279162923029712.541119-0.23350.8161230.408061
M2-14.936582809224312.522574-1.19280.2372290.118614
M3-22.802392183288412.506057-1.82330.0727860.036393
M4-14.096772985923912.491574-1.12850.2631930.131597
M5-18.391153788559412.479134-1.47380.1453020.072651
M6-13.971248876909212.468742-1.12050.2665610.13328
M7-4.5513439652590512.460404-0.36530.7160820.358041
M8-11.468366277328512.582191-0.91150.3653620.182681
M9-12.712095687331512.907499-0.98490.3282890.164144
M10-9.9831162024558313.246653-0.75360.453750.226875
M11-32.015143006888312.899535-2.48190.0156220.007811
t0.1515236597783770.1602870.94530.3479410.173971


Multiple Linear Regression - Regression Statistics
Multiple R0.768582483195594
R-squared0.590719033475105
Adjusted R-squared0.510103085523232
F-TEST (value)7.32757039373595
F-TEST (DF numerator)13
F-TEST (DF denominator)66
p-value1.27160473262222e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation22.3409242967196
Sum Squared Residuals32941.7152964959


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13772.29986522911-35.29986522911
23060.4427223719676-30.4427223719676
34752.728436657682-5.72843665768199
43561.5855795148248-26.5855795148248
53057.4427223719677-27.4427223719677
64362.0141509433963-19.0141509433963
78271.585579514824810.4144204851752
84064.8200808625337-24.8200808625337
94763.7278751123091-16.7278751123091
10199.966868823000899.03313117699911
115244.72787511230917.27212488769092
1213676.894541778975759.1054582210243
138074.11814914645115.88185085354886
144262.2610062893082-20.2610062893082
155454.5467205750225-0.546720575022459
166663.40386343216532.59613656783467
178159.261006289308221.7389937106918
186363.8324348607368-0.832434860736757
1913773.403863432165363.5961365678347
207266.63836477987425.36163522012578
2110765.546159029649641.4538409703504
225868.4266621743037-10.4266621743037
233646.5461590296496-10.5461590296496
245278.7128256963163-26.7128256963163
257975.93643306379163.06356693620836
267764.079290206648712.9207097933513
275456.365004492363-2.36500449236298
288465.222147349505818.7778526504942
294861.0792902066487-13.0792902066487
309665.650718778077330.3492812219227
318375.22214734950587.77785265049416
326668.4566486972147-2.45664869721474
336167.3644429469901-6.36444294699012
345370.2449460916442-17.2449460916442
353048.3644429469901-18.3644429469901
367480.5311096136568-6.53110961365679
376977.7547169811322-8.75471698113216
385965.8975741239892-6.89757412398922
394258.1832884097035-16.1832884097035
406567.0404312668464-2.04043126684637
417062.89757412398927.10242587601078
4210067.469002695417832.5309973045822
436377.0404312668464-14.0404312668464
4410570.274932614555334.7250673854447
458269.182726864330612.8172731356694
468172.06323000898478.93676999101528
477550.182726864330624.8172731356694
4810282.349393530997319.6506064690027
4912179.573000898472741.4269991015273
509867.715858041329730.2841419586703
517660.00157232704415.9984276729560
527768.85871518418698.14128481581311
536364.7158580413297-1.71585804132975
543769.2872866127583-32.2872866127583
553578.8587151841869-43.8587151841869
562315.45170709793357.5482929020665
574071.0010107816712-31.0010107816712
582917.240004492363011.7599955076370
593752.0010107816712-15.0010107816712
605184.1676774483378-33.1676774483378
612024.7497753818509-4.74977538185092
622812.892632524708015.1073674752920
63135.178346810422257.82165318957775
642214.03548966756517.96451033243488
65259.8926325247079715.1073674752920
661314.4640610961365-1.46406109613655
671624.0354896675651-8.03548966756511
681317.2699910152740-4.26999101527402
691616.1777852650494-0.177785265049395
701719.0582884097035-2.05828840970348
719-2.8222147349505911.8222147349506
721729.3444519317161-12.3444519317161
732526.5680592991914-1.56805929919144
741414.7109164420485-0.71091644204849
7586.996630727762771.00336927223723
76715.8537735849056-8.85377358490564
771011.7109164420485-1.71091644204850
78716.2823450134771-9.28234501347707
791025.8537735849056-15.8537735849056
80319.0882749326145-16.0882749326145


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.3819365519759110.7638731039518230.618063448024089
180.240373075162210.480746150324420.75962692483779
190.335217211220360.670434422440720.66478278877964
200.216690573794430.433381147588860.78330942620557
210.286116522649280.572233045298560.71388347735072
220.1965769706048900.3931539412097790.80342302939511
230.4573856430003750.914771286000750.542614356999625
240.98677009547710.02645980904580030.0132299045229002
250.9781523658058610.04369526838827730.0218476341941386
260.9659368075937170.06812638481256570.0340631924062828
270.9585588869017150.08288222619657020.0414411130982851
280.9375846925369430.1248306149261140.0624153074630569
290.9476030576696150.1047938846607690.0523969423303847
300.9396318075338930.1207363849322140.0603681924661068
310.9621352883389560.0757294233220880.037864711661044
320.9469666472604920.1060667054790170.0530333527395084
330.9431831957355760.1136336085288470.0568168042644236
340.93931914560550.1213617087889990.0606808543944997
350.9572181881879750.08556362362405090.0427818118120254
360.9539893026474780.09202139470504310.0460106973525216
370.9561245005165950.0877509989668090.0438754994834045
380.963627199814210.07274560037157910.0363728001857895
390.9819440305237720.03611193895245520.0180559694762276
400.980782226687580.03843554662483880.0192177733124194
410.9760150637073270.04796987258534650.0239849362926732
420.9788016994478910.04239660110421710.0211983005521086
430.9838572911820530.03228541763589310.0161427088179465
440.989545806431830.02090838713634130.0104541935681707
450.9849869968985840.03002600620283250.0150130031014162
460.9763878018020370.04722439639592640.0236121981979632
470.9701928479736340.05961430405273260.0298071520263663
480.9787282712694040.04254345746119140.0212717287305957
490.9988870481909120.002225903618175290.00111295180908764
500.9998586282207360.0002827435585289880.000141371779264494
510.9999716070037845.67859924319369e-052.83929962159684e-05
520.999999521226149.57547721325763e-074.78773860662881e-07
530.9999998792559442.41488111227182e-071.20744055613591e-07
540.9999997163852175.67229566311273e-072.83614783155637e-07
550.9999998390977843.21804431011546e-071.60902215505773e-07
560.9999990915862651.81682746963561e-069.08413734817806e-07
570.9999971730113455.65397731053823e-062.82698865526911e-06
580.9999852436619432.95126761134503e-051.47563380567252e-05
590.999932571690730.0001348566185395566.74283092697778e-05
600.9996907186279750.0006185627440508090.000309281372025405
610.9998501437391660.0002997125216685230.000149856260834261
620.99914573259250.001708534814999080.00085426740749954
630.9956577558634150.008684488273169340.00434224413658467


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level150.319148936170213NOK
5% type I error level260.553191489361702NOK
10% type I error level340.723404255319149NOK