Multiple Linear Regression - Estimated Regression Equation
Spaar[t] = + 36.0876640540603 + 0.426549024778832Alg_E[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)36.08766405406031.6392222.015100
Alg_E0.4265490247788320.0446129.561200


Multiple Linear Regression - Regression Statistics
Multiple R0.659133991381146
R-squared0.434457618594041
Adjusted R-squared0.429705161607436
F-TEST (value)91.417475175179
F-TEST (DF numerator)1
F-TEST (DF denominator)119
p-value2.22044604925031e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.21474437315503
Sum Squared Residuals3236.03350640490


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16250.163781871761711.8362181282383
26452.723076020434711.2769239795653
36255.28237016910776.7176298308923
46455.70891919388658.29108080611347
56455.28237016910778.7176298308923
66955.282370169107713.7176298308923
76956.98856626822312.0114337317770
86557.41511529300197.58488470699815
95659.1213113921172-3.12131139211718
105861.2540565160113-3.25405651601134
115360.8275074912325-7.82750749123251
126259.97440944167482.02559055832516
135556.5620172434442-1.56201724344419
146057.41511529300192.58488470699815
155958.26821334255950.731786657440484
165858.6947623673383-0.694762367338348
175359.547860416896-6.54786041689601
185754.429272119552.57072788044997
195754.00272309477122.9972769052288
205352.29652699565590.703473004344129
215453.57617406999240.423825930007633
225353.5761740699924-0.576174069992367
235752.72307602043474.2769239795653
245750.59033089654056.40966910345946
255547.60448772308877.39551227691128
264942.48589942574276.51410057425726
275042.05935040096397.9406495990361
284949.310683822204-0.310683822204048
295453.57617406999240.423825930007633
305854.429272119553.57072788044997
315855.70891919388652.29108080611347
325254.0027230947712-2.0027230947712
335655.28237016910770.717629830892306
345255.2823701691077-3.28237016910769
355953.14962504521355.85037495478646
365351.01687992131941.98312007868062
375251.44342894609820.556571053901792
385352.29652699565590.703473004344129
395152.7230760204347-1.72307602043470
405049.73723284698290.262767153017120
415646.32484064875229.67515935124777
425245.04519357441576.95480642558427
434641.20625235140624.79374764859376
444848.4575857726464-0.457585772646385
454651.4434289460982-5.44342894609821
464849.310683822204-1.31068382220405
474848.0310367478676-0.0310367478675531
484948.88413479742520.115865202574783
495352.29652699565590.703473004344129
504847.60448772308870.395512276911279
515153.1496250452135-2.14962504521354
524853.1496250452135-5.14962504521354
535054.8558211443289-4.85582114432886
545556.1354682186654-1.13546821866536
555255.2823701691077-3.28237016910769
565354.0027230947712-1.00272309477120
575252.2965269956559-0.296526995655871
585555.7089191938865-0.708919193886526
595351.86997797087701.13002202912296
605353.5761740699924-0.576174069992367
615653.14962504521352.85037495478646
625450.16378187176173.83621812823829
635250.59033089654051.40966910345946
645551.44342894609823.55657105390179
655451.44342894609822.55657105390179
665952.29652699565596.70347300434413
675654.00272309477121.9972769052288
685651.01687992131944.98312007868062
695146.75138967353114.24861032646894
705346.32484064875226.67515935124777
715245.47174259919466.52825740080544
725147.60448772308873.39551227691128
734643.33899747530042.6610025246996
744948.88413479742520.115865202574783
754648.8841347974252-2.88413479742522
765550.59033089654054.40966910345946
775751.86997797087705.13002202912296
785351.44342894609821.55657105390179
795250.16378187176171.83621812823829
805350.16378187176172.83621812823829
815050.1637818717617-0.163781871761712
825451.86997797087702.13002202912296
835353.1496250452135-0.149625045213535
845051.0168799213194-1.01687992131938
855151.8699779708770-0.86997797087704
865254.42927211955-2.42927211955003
874754.0027230947712-7.0027230947712
885150.16378187176170.836218128238288
894952.7230760204347-3.7230760204347
905353.1496250452135-0.149625045213535
915251.86997797087700.130022029122961
924554.8558211443289-9.85582114432886
935354.0027230947712-1.00272309477120
945154.42927211955-3.42927211955003
954853.1496250452135-5.14962504521354
964848.8841347974252-0.884134797425217
974848.8841347974252-0.884134797425217
984849.310683822204-1.31068382220405
994043.7655465000792-3.76554650007923
1004346.3248406487522-3.32484064875223
1014045.4717425991946-5.47174259919456
1023947.1779386983099-8.17793869830989
1033948.0310367478676-9.03103674786755
1043645.8982916239734-9.8982916239734
1054143.3389974753004-2.33899747530040
1063941.2062523514062-2.20625235140624
1074039.92660527706970.0733947229302516
1083944.1920955248581-5.19209552485807
1094645.04519357441570.95480642558427
1104043.7655465000792-3.76554650007923
1113743.7655465000792-6.76554650007923
1123742.4858994257427-5.48589942574274
1134446.3248406487522-2.32484064875223
1144143.7655465000792-2.76554650007923
1154044.1920955248581-4.19209552485807
1163648.8841347974252-12.8841347974252
1173850.1637818717617-12.1637818717617
1184351.0168799213194-8.01687992131938
1194251.4434289460982-9.4434289460982
1204556.1354682186654-11.1354682186654
1214655.7089191938865-9.70891919388653


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01665899718086930.03331799436173860.983341002819131
60.1253595718655630.2507191437311260.874640428134437
70.1078643632979760.2157287265959520.892135636702024
80.06867186298538590.1373437259707720.931328137014614
90.4367059370624840.8734118741249690.563294062937516
100.3973203113179860.7946406226359710.602679688682014
110.525607304287470.948785391425060.47439269571253
120.4541874668582730.9083749337165460.545812533141727
130.5651549916892730.8696900166214540.434845008310727
140.4870800112381960.9741600224763920.512919988761804
150.4105243341315820.8210486682631650.589475665868417
160.3439484998684370.6878969997368730.656051500131563
170.3946761709679390.7893523419358790.605323829032061
180.4350742208080180.8701484416160350.564925779191982
190.4630585369350220.9261170738700430.536941463064978
200.642115482470990.7157690350580190.357884517529010
210.6852581981988070.6294836036023860.314741801801193
220.7288662814565350.542267437086930.271133718543465
230.7003450744001780.5993098511996440.299654925599822
240.6828188780440440.6343622439119120.317181121955956
250.6893234123991430.6213531752017150.310676587600857
260.7483888529130450.5032222941739110.251611147086955
270.7567483673147580.4865032653704840.243251632685242
280.7810196797194950.4379606405610090.218980320280505
290.753873195351150.4922536092976990.246126804648849
300.7183513601827550.563297279634490.281648639817245
310.6756454226973260.6487091546053480.324354577302674
320.6751575653386730.6496848693226550.324842434661327
330.6317056459964770.7365887080070460.368294354003523
340.6389342065902350.722131586819530.361065793409765
350.6310531785543810.7378936428912380.368946821445619
360.5985523909142940.8028952181714110.401447609085706
370.5727204056390940.8545591887218120.427279594360906
380.5388035493418690.9223929013162610.461196450658131
390.5310182467513190.9379635064973620.468981753248681
400.5122922770025970.9754154459948060.487707722997403
410.5694303066122880.8611393867754230.430569693387712
420.572338407664560.855323184670880.42766159233544
430.5757003872368650.848599225526270.424299612763135
440.5721749476790080.8556501046419850.427825052320992
450.6543441746852020.6913116506295970.345655825314798
460.6460261868558390.7079476262883220.353973813144161
470.6252803960682160.7494392078635670.374719603931784
480.5973735330759350.8052529338481290.402626466924065
490.5566851340014030.8866297319971940.443314865998597
500.5283234302815040.9433531394369920.471676569718496
510.5032503631299670.9934992737400660.496749636870033
520.5345156606056220.9309686787887570.465484339394378
530.5444101722784120.9111796554431760.455589827721588
540.4978270880760070.9956541761520150.502172911923993
550.473368142990150.946736285980300.52663185700985
560.4297578162974820.8595156325949640.570242183702518
570.3874798664522970.7749597329045940.612520133547703
580.3419431805141390.6838863610282770.658056819485861
590.3035470253530620.6070940507061240.696452974646938
600.2652209124074030.5304418248148050.734779087592597
610.2429840952097400.4859681904194810.75701590479026
620.2303940472096560.4607880944193110.769605952790344
630.2025310072181530.4050620144363070.797468992781847
640.1920499367793750.3840998735587490.807950063220625
650.1745554076694780.3491108153389550.825444592330522
660.2251748901054010.4503497802108020.774825109894599
670.2089706408987860.4179412817975720.791029359101214
680.23109781764510.46219563529020.7689021823549
690.2333671302976640.4667342605953290.766632869702336
700.2881201976679430.5762403953358870.711879802332057
710.3546434329507480.7092868659014960.645356567049252
720.3656667672312140.7313335344624280.634333232768786
730.3727191017654790.7454382035309570.627280898234521
740.3525364126973410.7050728253946820.647463587302659
750.3428883622943650.685776724588730.657111637705635
760.3975965637774220.7951931275548450.602403436222578
770.5004721654168220.9990556691663560.499527834583178
780.5083352556582510.9833294886834980.491664744341749
790.5262489098545040.9475021802909930.473751090145496
800.5792317308059550.8415365383880910.420768269194045
810.5731510559554560.8536978880890880.426848944044544
820.628397632357930.743204735284140.37160236764207
830.6391261165224010.7217477669551970.360873883477599
840.6359263577155130.7281472845689730.364073642284487
850.6402953460456840.7194093079086330.359704653954316
860.6328158505990410.7343682988019180.367184149400959
870.6397018683463090.7205962633073820.360298131653691
880.6852945995624110.6294108008751780.314705400437589
890.6690695789011440.6618608421977110.330930421098856
900.727230887384940.5455382252301190.272769112615060
910.797308279224220.4053834415515590.202691720775779
920.8233967958199620.3532064083600770.176603204180038
930.882749625825050.23450074834990.11725037417495
940.909261368100550.1814772637989010.0907386318994506
950.9146917744858520.1706164510282960.0853082255141479
960.9448510955381170.1102978089237650.0551489044618827
970.9719457281939020.05610854361219630.0280542718060982
980.9902049461102060.01959010777958740.0097950538897937
990.9870615942783580.02587681144328500.0129384057216425
1000.9857977377268390.02840452454632280.0142022622731614
1010.9811327758128970.03773444837420670.0188672241871033
1020.9791299232595950.041740153480810.020870076740405
1030.97769728618220.04460542763559820.0223027138177991
1040.9874415522181170.02511689556376510.0125584477818825
1050.9800288012512270.03994239749754690.0199711987487734
1060.9667024290713650.06659514185726930.0332975709286346
1070.9497453551516850.1005092896966310.0502546448483155
1080.9243797655231790.1512404689536420.075620234476821
1090.9709237761926060.05815244761478860.0290762238073943
1100.9518331572561240.09633368548775110.0481668427438756
1110.92919934152470.1416013169506000.0708006584753002
1120.8925006542286380.2149986915427240.107499345771362
1130.8977973971862590.2044052056274820.102202602813741
1140.8835233593885220.2329532812229570.116476640611478
1150.951925896096940.09614820780611980.0480741039030599
1160.9334302264202720.1331395471594570.0665697735797285


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level90.0803571428571429NOK
10% type I error level140.125NOK