Multiple Linear Regression - Estimated Regression Equation
Spaar[t] = + 50.6298826025243 + 0.224827909425653Alg_E[t] + 0.85574414100791M1[t] + 0.479212425823561M2[t] -1.78112277147162M3[t] -0.431389132537066M4[t] + 0.271033806029273M5[t] + 2.11538884570027M6[t] + 0.824847139715868M7[t] -1.74790201229214M8[t] -1.58340930016167M9[t] -0.766227288399419M10[t] -0.207113175532512M11[t] -0.11952713024534t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)50.62988260252432.22846422.719600
Alg_E0.2248279094256530.038415.853400
M10.855744141007911.6480740.51920.6046660.302333
M20.4792124258235611.6958350.28260.7780430.389022
M3-1.781122771471621.691833-1.05280.2948150.147407
M4-0.4313891325370661.687817-0.25560.7987580.399379
M50.2710338060292731.6851060.16080.8725220.436261
M62.115388845700271.6849151.25550.2120370.106018
M70.8248471397158681.6847640.48960.6254250.312712
M8-1.747902012292141.684281-1.03780.3017150.150858
M9-1.583409300161671.684061-0.94020.3492160.174608
M10-0.7662272883994191.684891-0.45480.6502010.3251
M11-0.2071131755325121.683906-0.1230.9023410.451171
t-0.119527130245340.011623-10.284100


Multiple Linear Regression - Regression Statistics
Multiple R0.857292104916475
R-squared0.73494975315212
Adjusted R-squared0.702747386712659
F-TEST (value)22.8228492006564
F-TEST (DF numerator)13
F-TEST (DF denominator)107
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.76483670875441
Sum Squared Residuals1516.61751246357


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16258.78542062433343.21457937566656
26459.63832923545774.36167076454234
36258.6074343644713.39256563552894
46460.0624687825863.93753121741406
56460.42053668148133.57946331851871
66962.1453645909076.85463540909306
76961.63460739237987.36539260762019
86559.16715901955215.83284098044788
95660.1114362391399-4.11143623913986
105861.933230667785-3.93323066778503
115362.1479897409809-9.14798974098094
126261.78591996741680.214080032583189
135560.7235137027742-5.72351370277416
146060.6771106761958-0.677110676195773
155958.74690416750660.253095832493444
165860.2019385856214-2.20193858562142
175361.2344902127937-8.23449021279373
185760.2613832091115-3.26138320911155
195758.6264864634562-1.62648646345616
205355.0348985435002-2.0348985435002
215455.7543478536623-1.75434785366229
225356.4520027351792-3.4520027351792
235756.44193389894950.55806610105054
245755.40538039710841.59461960289163
255554.56780204189140.43219795810863
264951.3738082833538-2.37380828335385
275048.76911804638771.23088195361233
284953.821399015313-4.82139901531298
295456.6525739178905-2.65257391789051
305858.8270576461675-0.827057646167467
315858.0914725382147-0.0914725382146861
325254.4998846182587-2.49988461825873
335655.21933392842080.780666071579181
345255.9169888099377-3.91698880993773
355955.2324362454313.76756375456897
365354.19588274359-1.19588274358994
375255.1569276637782-3.15692766377816
385355.1105246371998-2.11052463719978
395152.9554902190849-1.95549021908491
405052.6119013617946-2.61190136179455
415651.39617389471034.60382610528967
425252.446518075859-0.446518075859024
434649.0129980547984-3.01299805479841
444850.1427962327812-2.14279623278116
454651.7615571806459-5.76155718064586
464851.3350725150345-3.33507251503451
474851.1001757693791-3.10017576937912
484951.6374176335176-2.63741763351759
495354.1722579196854-1.17225791968539
504851.2030920705735-3.20309207057352
515151.7459925655665-0.74599256556648
524852.9761990742557-4.9761990742557
535054.4584065202793-4.45840652027931
545556.8577181579819-1.85771815798191
555254.9979935029009-2.99799350290087
565351.63123349237061.36876650762943
575250.77688743655311.22311256344691
585553.27316559347521.72683440652478
595351.68930139126591.31069860873409
605352.67619907425570.323800925744307
615653.18758817559262.81241182440739
625451.11773396418342.88226603581665
635248.96269954606853.03730045393152
645550.6425618736094.357438126391
655451.225457681932.77454231807000
665953.3999414102075.60005858979304
675652.88918421167983.11081578832017
685648.62311256344697.37688743655308
695146.41979905107554.58020094892448
705346.89262602316686.10737397683322
715246.8825571869375.11744281306296
725148.09428277935252.90571722064753
734646.5822206958585-0.582220695858516
744949.0089246729623-0.00892467296231159
754646.6290623454218-0.62906234542179
765548.75858049181366.24141950818638
775750.01596002841166.98403997158843
785351.51596002841161.48403997158843
795249.43140746390492.56859253609512
805346.73913118165156.26086881834847
815046.78409676353673.21590323646334
825448.38106328275625.61893671724382
835349.49513399365473.50486600634529
845048.45858049181361.54141950818638
855149.64445332142751.35554667857251
865250.49736193255171.50263806744828
874747.8926716955855-0.892671695585544
885147.09942701944393.90057298055612
894949.0312902843188-0.0312902843187983
905350.98094610317012.01905389682990
915248.89639353866343.10360646133659
924547.7779126223896-2.77791262238963
935347.37322238542355.62677761457654
945148.2957051763662.70429482363398
954848.0608084307106-0.0608084307106281
964845.90011538174132.09988461825873
974846.63633239250381.36366760749616
984846.36510145649981.63489854350020
994041.0624763064258-1.06247630642579
1004343.6416502716689-0.641650271668926
1014043.7748902611386-3.77489026113862
1023946.3990298082669-7.39902980826689
1033945.4386167908885-6.43861679088845
1043641.6222009615068-5.62220096150684
1054140.31819908683810.681800913161947
1063939.8917144212267-0.8917144212267
1074039.65681767557130.343182324428691
1083941.992682815115-2.99268281511501
1094643.17855564472892.82144435527112
1104042.0080130710222-2.00801307102224
1113739.6281507434817-2.62815074348171
1123740.1838735238940-3.18387352389397
1134442.79022051704581.20977948295416
1144143.1660809699176-2.16608096991758
1154041.9808400431135-1.98084004311349
1163641.7616707645423-5.76167076454233
1173842.4811200747044-4.48112007470442
1184343.6284307750726-0.628430775072634
1194244.2928456671198-2.29284566711985
1204546.8535387160892-1.85353871608921
1214647.3649278174261-1.36492781742612


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.3252348810478650.6504697620957290.674765118952135
180.3225219208337650.6450438416675310.677478079166235
190.1956578950246130.3913157900492250.804342104975387
200.1137101679673670.2274203359347340.886289832032633
210.3977901523412360.7955803046824710.602209847658764
220.3584686911358620.7169373822717250.641531308864138
230.6528763026910130.6942473946179730.347123697308987
240.5621589989722550.875682002055490.437841001027745
250.5555034862123170.8889930275753650.444496513787683
260.6127901802234780.7744196395530440.387209819776522
270.5518923492509340.8962153014981310.448107650749066
280.5166778236216950.966644352756610.483322176378305
290.535800385509080.928399228981840.46419961449092
300.5075708575145450.984858284970910.492429142485455
310.4650793883106120.9301587766212240.534920611689388
320.3999654044301360.7999308088602720.600034595569864
330.5531318114613840.8937363770772320.446868188538616
340.559930391398970.8801392172020610.440069608601031
350.7692043572226670.4615912855546650.230795642777333
360.7155477883046590.5689044233906830.284452211695341
370.6883071917746710.6233856164506570.311692808225329
380.6500712061873090.6998575876253820.349928793812691
390.595394311969730.809211376060540.40460568803027
400.55476414289170.89047171421660.4452358571083
410.642581473897410.714837052205180.35741852610259
420.585655127028010.828689745943980.41434487297199
430.6125359142738950.774928171452210.387464085726105
440.5615706234837430.8768587530325130.438429376516257
450.6104866802493020.7790266395013960.389513319750698
460.6324772763978160.7350454472043680.367522723602184
470.6307209034878610.7385581930242770.369279096512139
480.6134977051519230.7730045896961530.386502294848077
490.6461262208664460.7077475582671080.353873779133554
500.6553517570965990.6892964858068020.344648242903401
510.6291246215099070.7417507569801850.370875378490093
520.747156985334340.5056860293313180.252843014665659
530.8398243788260560.3203512423478890.160175621173944
540.8541381104914530.2917237790170940.145861889508547
550.8928285002527390.2143429994945220.107171499747261
560.9017794832470960.1964410335058080.0982205167529041
570.9396674828873940.1206650342252130.0603325171126064
580.9762785557272440.0474428885455130.0237214442727565
590.9841834434203480.03163311315930490.0158165565796525
600.9883471825235730.02330563495285340.0116528174764267
610.991683951198630.01663209760274190.00831604880137097
620.9915464868599490.01690702628010240.0084535131400512
630.9892131556454870.02157368870902640.0107868443545132
640.9917470846856360.01650583062872830.00825291531436416
650.992040807330850.0159183853383010.0079591926691505
660.9924703324043720.01505933519125650.00752966759562824
670.990107535552390.01978492889522010.00989246444761007
680.9950295954523340.009940809095331780.00497040454766589
690.9943690165354920.01126196692901580.00563098346450792
700.9946975278853140.01060494422937260.00530247211468631
710.9934870505775880.01302589884482370.00651294942241186
720.9902758460725760.01944830785484740.0097241539274237
730.9931480736621420.01370385267571630.00685192633785813
740.99353678119990.01292643760019950.00646321880009973
750.9929418088857150.01411638222856940.00705819111428468
760.99238592556120.01522814887760150.00761407443880074
770.9938893160451190.01222136790976280.00611068395488138
780.9903342727445250.01933145451094980.0096657272554749
790.9850207049961840.02995859000763220.0149792950038161
800.9960043131617330.007991373676534520.00399568683826726
810.993691725009060.01261654998187870.00630827499093935
820.9920400936888910.01591981262221740.00795990631110871
830.9876071773411220.0247856453177560.012392822658878
840.9807217623490270.03855647530194670.0192782376509734
850.9774091624453730.04518167510925440.0225908375546272
860.9669676721911840.06606465561763170.0330323278088158
870.9595791533930470.08084169321390680.0404208466069534
880.9489690455700970.1020619088598070.0510309544299035
890.932709138224120.1345817235517610.0672908617758806
900.9262140528278280.1475718943443430.0737859471721716
910.9366939852540290.1266120294919430.0633060147459715
920.9176621788590190.1646756422819630.0823378211409813
930.9557980753040360.08840384939192760.0442019246959638
940.9470025607627150.1059948784745700.0529974392372848
950.9190311877953380.1619376244093250.0809688122046623
960.9236113573316910.1527772853366180.0763886426683088
970.8801416384599260.2397167230801490.119858361540074
980.9095210902872380.1809578194255240.090478909712762
990.884406539455860.2311869210882790.115593460544140
1000.94642419098920.1071516180216000.0535758090108002
1010.930956339874710.1380873202505790.0690436601252893
1020.9013474316485540.1973051367028930.0986525683514464
1030.8869216108369340.2261567783261310.113078389163066
1040.8875897963205150.2248204073589700.112410203679485


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0227272727272727NOK
5% type I error level280.318181818181818NOK
10% type I error level310.352272727272727NOK