Multiple Linear Regression - Estimated Regression Equation
T40[t] = + 11.8949464377862 -0.146266174900871UseLimit[t] -0.992497706418601T20[t] -0.233350210847497Used[t] -0.083721550340576CorrectAnalysis[t] + 0.0223373004222329Useful[t] -0.0223595190764869`Outcome\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.89494643778620.63549818.717500
UseLimit-0.1462661749008710.074368-1.96680.051090.025545
T20-0.9924977064186010.013627-72.832300
Used-0.2333502108474970.086465-2.69880.0077750.003887
CorrectAnalysis-0.0837215503405760.144741-0.57840.5638630.281931
Useful0.02233730042223290.0830790.26890.7884080.394204
`Outcome\r`-0.02235951907648690.072098-0.31010.7569050.378452


Multiple Linear Regression - Regression Statistics
Multiple R0.987548661070473
R-squared0.975252357982085
Adjusted R-squared0.974242250144619
F-TEST (value)965.493308544861
F-TEST (DF numerator)6
F-TEST (DF denominator)147
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.424518198165104
Sum Squared Residuals26.491707984282


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
122.74114065368763-0.741140653687632
232.865047309512010.134952690487986
332.865047309512010.134952690487989
432.865047309512010.134952690487988
532.865047309512010.134952690487988
632.763477954109860.236522045890139
732.865047309512010.134952690487988
822.86504730951201-0.865047309512012
932.88740682858850.112593171411501
1032.718781134611140.281218865388859
1122.71878113461114-0.718781134611141
1232.865047309512010.134952690487988
1332.654034399086750.345965600913252
1422.71878113461114-0.718781134611141
1532.676393918163230.323606081836765
1622.67639391816323-0.676393918163235
1722.4240466738453-0.424046673845301
1822.71878113461114-0.718781134611141
1932.88740682858850.112593171411501
2022.59267236782266-0.592672367822659
2132.741118435033370.258881564966626
2232.530127743262360.469872256737636
2332.909744129010730.090255870989268
2432.763477954109860.236522045890139
2522.654056617741-0.654056617741002
2632.654034399086750.345965600913252
2732.741140653687630.258859346312372
2832.631697098664520.368302901335485
2932.88740682858850.112593171411501
3032.887384609934250.112615390065755
3132.865047309512010.134952690487988
3232.718781134611140.281218865388859
3332.741118435033370.258881564966626
3422.8874068285885-0.887406828588499
3532.865047309512010.134952690487988
3632.865047309512010.134952690487988
3722.50776822418588-0.507768224185877
3832.6540566177410.345943382258998
3932.909744129010730.090255870989268
4022.88738460993425-0.887384609934245
4132.592672367822660.407327632177341
4232.6540566177410.345943382258998
4332.763477954109860.236522045890139
4422.71878113461114-0.718781134611141
4532.887384609934250.112615390065755
4632.909744129010730.090255870989268
4732.865047309512010.134952690487988
4832.88740682858850.112593171411501
4932.909744129010730.090255870989268
5032.865047309512010.134952690487988
5122.63169709866452-0.631697098664515
5222.4240466738453-0.424046673845301
5332.88740682858850.112593171411501
5432.547975548323940.452024451676061
5532.865047309512010.134952690487988
5622.654056617741-0.654056617741002
5732.676393918163230.323606081836765
5832.88740682858850.112593171411501
5932.88740682858850.112593171411501
6022.44640619292179-0.446406192921788
6122.74114065368763-0.741140653687628
6232.654034399086750.345965600913252
6332.865047309512010.134952690487988
6422.74114065368763-0.741140653687628
6532.865047309512010.134952690487988
6632.865047309512010.134952690487988
6722.57031284874617-0.570312848746172
6832.718781134611140.281218865388859
6932.88740682858850.112593171411501
7032.631697098664520.368302901335485
7132.865047309512010.134952690487988
7232.88740682858850.112593171411501
7332.6540566177410.345943382258998
7432.485430923763640.514569076236356
7532.88740682858850.112593171411501
7622.90974412901073-0.909744129010732
7732.88740682858850.112593171411501
7832.676393918163230.323606081836765
7922.57033506740043-0.570335067400426
8022.88738460993425-0.887384609934245
8132.865047309512010.134952690487988
8232.507790442840130.492209557159869
8332.865047309512010.134952690487988
8432.547975548323940.452024451676061
8532.909744129010730.090255870989268
8632.718781134611140.281218865388859
8787.703629185780640.296370814219365
8888.46277668135174-0.462776681351739
8987.827535841605020.172464158394981
9087.849895360681510.150104639318494
9187.849873142027250.150126857972748
9288.67376737312275-0.673767373122749
9387.703606967126380.296393032873619
9487.827535841605020.172464158394981
9588.82003354802362-0.82003354802362
9687.849895360681510.150104639318494
9788.67376737312275-0.673767373122749
9887.827535841605020.172464158394981
9987.681269666704150.318730333295852
10087.849895360681510.150104639318494
10187.703629185780640.296370814219365
10287.827535841605020.172464158394981
10387.827535841605020.172464158394981
10487.827535841605020.172464158394981
10588.58668333717612-0.586683337176123
10687.827535841605020.172464158394981
10787.827535841605020.172464158394981
10888.44041716227525-0.440417162275252
10987.827535841605020.172464158394981
11087.681269666704150.318730333295852
11188.46275446269749-0.462754462697485
11288.82003354802362-0.82003354802362
11387.594185630757520.405814369242478
11488.44041716227525-0.440417162275252
11587.681269666704150.318730333295852
11687.827535841605020.172464158394981
11787.703629185780640.296370814219365
11887.681269666704150.318730333295852
11987.827535841605020.172464158394981
12087.849895360681510.150104639318494
12187.681269666704150.318730333295852
12287.827535841605020.172464158394981
12388.44041716227525-0.440417162275252
12487.638882450256240.361117549743758
12587.849895360681510.150104639318494
12688.82003354802362-0.82003354802362
12787.849873142027250.150126857972748
12887.849895360681510.150104639318494
12987.827535841605020.172464158394981
13087.849895360681510.150104639318494
13187.681269666704150.318730333295852
13287.703629185780640.296370814219365
13387.447919455856650.552080544143349
13487.827535841605020.172464158394981
13587.827535841605020.172464158394981
13687.827535841605020.172464158394981
13787.492616275355370.507383724644629
13888.48511398177397-0.485113981773972
13988.82003354802362-0.82003354802362
14087.827535841605020.172464158394981
14187.532823599493430.467176400506567
14288.60904285625261-0.60904285625261
14387.681269666704150.318730333295852
14487.872232661103740.127767338896261
14587.849873142027250.150126857972748
14688.84239306710011-0.842393067100107
14788.58668333717612-0.586683337176123
14888.82003354802362-0.82003354802362
14987.681269666704150.318730333295852
15087.872232661103740.127767338896261
15187.849895360681510.150104639318494
15287.364197905516080.635802094483925
15387.386535205938310.613464794061692
15487.447919455856650.552080544143349


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9211606340525660.1576787318948680.0788393659474338
110.914666572812330.170666854375340.0853334271876702
120.8555716020968780.2888567958062450.144428397903122
130.7787654837316790.4424690325366430.221234516268321
140.7443645095511680.5112709808976630.255635490448832
150.6567533289579010.6864933420841980.343246671042099
160.7997676053094740.4004647893810510.200232394690526
170.734787165145090.5304256697098210.26521283485491
180.7067465119494640.5865069761010720.293253488050536
190.648358639344790.703282721310420.35164136065521
200.6359912056764930.7280175886470140.364008794323507
210.5634479256078760.8731041487842490.436552074392124
220.7109668207643790.5780663584712420.289033179235621
230.6730561706638860.6538876586722270.326943829336114
240.6118686921802460.7762626156395080.388131307819754
250.5777669891372380.8444660217255230.422233010862762
260.5172913332696850.965417333460630.482708666730315
270.5904960849090370.8190078301819250.409503915090963
280.6400899933600070.7198200132799870.359910006639993
290.5937521820862150.812495635827570.406247817913785
300.5466781326521540.9066437346956920.453321867347846
310.4920549331153780.9841098662307550.507945066884622
320.4915939156268570.9831878312537140.508406084373143
330.4346891233484350.8693782466968710.565310876651565
340.5766284747785840.8467430504428320.423371525221416
350.5257706432115760.9484587135768480.474229356788424
360.4739301282583940.9478602565167880.526069871741606
370.5299760787408580.9400478425182830.470023921259142
380.558519834541270.8829603309174610.44148016545873
390.5036776881282160.9926446237435670.496322311871783
400.7430141430882470.5139717138235070.256985856911753
410.7903257897958880.4193484204082230.209674210204112
420.7756414389189650.4487171221620710.224358561081035
430.7455054643149640.5089890713700730.254494535685036
440.7923175150237170.4153649699525670.207682484976283
450.7524942485377390.4950115029245220.247505751462261
460.7092696678000380.5814606643999240.290730332199962
470.670305298666430.6593894026671410.32969470133357
480.625511707530290.748976584939420.37448829246971
490.5759807420523590.8480385158952810.42401925794764
500.5319359946367250.9361280107265510.468064005363275
510.583609998059490.832780003881020.41639000194051
520.5649160578389940.8701678843220120.435083942161006
530.5173490346762740.9653019306474520.482650965323726
540.569706672129660.8605866557406790.43029332787034
550.5248503496266580.9502993007466830.475149650373342
560.5836506728217960.8326986543564080.416349327178204
570.5561818584442440.8876362831115120.443818141555756
580.50938842691160.98122314617680.4906115730884
590.4623405780571710.9246811561143420.537659421942829
600.4620481627210120.9240963254420240.537951837278988
610.5556227158629150.8887545682741710.444377284137085
620.5309729172389280.9380541655221440.469027082761072
630.4857652417929760.9715304835859520.514234758207024
640.6040619973808840.7918760052382320.395938002619116
650.5595075439716740.8809849120566520.440492456028326
660.5140063572294060.9719872855411890.485993642770594
670.5866874571992880.8266250856014250.413312542800712
680.5819963029485120.8360073941029750.418003697051487
690.5380352750661760.9239294498676480.461964724933824
700.5280423147978970.9439153704042070.471957685202103
710.4819719914001750.9639439828003510.518028008599825
720.437405885638570.8748117712771410.56259411436143
730.4244476977687560.8488953955375130.575552302231244
740.4594750305594950.9189500611189890.540524969440505
750.4147744921144460.8295489842288910.585225507885554
760.6583367377427570.6833265245144870.341663262257243
770.6183690935751250.7632618128497490.381630906424875
780.5887443314944710.8225113370110580.411255668505529
790.7357751550521250.528449689895750.264224844947875
800.9331283696468990.1337432607062020.0668716303531009
810.9242812955908420.1514374088183150.0757187044091575
820.9185004490096650.162999101980670.0814995509903352
830.9141672289567620.1716655420864770.0858327710432385
840.9407882686293890.1184234627412210.0592117313706105
850.9853331230246870.02933375395062650.0146668769753132
86100
87100
88100
89100
90100
91100
92100
93100
94100
95100
96100
97100
98100
99100
100100
101100
102100
103100
104100
105100
106100
107100
108100
109100
110100
111100
112100
113100
114100
115100
116100
117100
118100
119100
120100
121100
122100
123100
124100
12512.96439387504748e-3231.48219693752374e-323
12614.93324513106167e-3042.46662256553083e-304
12715.56753702706357e-2942.78376851353178e-294
12811.94954910654633e-3079.74774553273164e-308
12914.95379394242254e-2662.47689697121127e-266
13015.64135324740958e-2482.82067662370479e-248
13112.15549778736244e-2311.07774889368122e-231
13213.64920518586769e-2201.82460259293384e-220
13313.74984150153105e-2301.87492075076553e-230
13413.63467962054265e-1971.81733981027132e-197
13513.11084669511208e-1731.55542334755604e-173
13611.54740060380321e-1607.73700301901605e-161
13711.72984881613518e-1578.64924408067589e-158
138100
13917.9000517406053e-1163.95002587030265e-116
14013.9152942009723e-1021.95764710048615e-102
14114.19480894432285e-1002.09740447216143e-100
14217.87319634345654e-733.93659817172827e-73
14311.62215300853832e-628.11076504269162e-63
14413.13350714643958e-451.56675357321979e-45


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level590.437037037037037NOK
5% type I error level600.444444444444444NOK
10% type I error level600.444444444444444NOK