Multiple Linear Regression - Estimated Regression Equation
Consvertr[t] = + 2.73170303613635 + 0.00637395336616299Aand[t] -0.190088819280827t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.731703036136351.895631.44110.1549470.077474
Aand0.006373953366162990.00051312.427200
t-0.1900888192808270.023593-8.057100


Multiple Linear Regression - Regression Statistics
Multiple R0.885297448485684
R-squared0.783751572295263
Adjusted R-squared0.776294729960617
F-TEST (value)105.105021284114
F-TEST (DF numerator)2
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.24057281102741
Sum Squared Residuals609.076104327064


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12118.30318984023702.69681015976295
21917.69745552194871.30254447805129
32517.80706998994497.19293001005515
42117.57510429704833.42489570295165
52317.70237461586885.29762538413122
62318.45435610410684.54564389589316
71918.97254098287400.0274590171259583
81819.3721065894970-1.37210658949695
91919.6420259846521-0.642025984652107
101919.8369876882212-0.836987688221185
112220.27619928478161.72380071521837
122320.24953862980922.75046137019078
132020.1428848600915-0.142884860091468
141419.5827880479049-5.58278804790488
151419.6224802474742-5.62248024747423
161419.8427465459070-5.84274654590697
171520.2611790544937-5.26117905449373
181120.1976132095312-9.19761320953123
191720.1242314763849-3.12423147638485
201620.3718420347584-4.37184203475844
212021.0115144646847-1.01151446468471
222421.92322722427882.07677277572118
232322.66392681505880.336073184941232
242023.1424657038884-3.14246570388844
252122.8092816315373-1.80928163153725
261922.0171729168223-3.01717291682233
272320.35508330715982.64491669284018
282321.00310561599581.99689438400423
292321.83705614452271.16294385547731
302322.33427071671520.665729283284787
312723.21768312336363.78231687663644
322623.41787146869292.58212853130711
331723.8087047592042-6.80870475920416
342424.5939582840136-0.59395828401359
352624.77821174592751.22178825407248
362423.65969287933140.340307120668616
372724.96295759420892.03704240579111
382725.44653190619781.55346809380217
392624.77482717056971.22517282943028
402424.2114796421664-0.211479642166392
412321.72472794598971.27527205401028
422322.13359952452720.866400475472777
432422.82783299526781.17216700473215
441720.5340208674849-3.53402086748493
452120.4172325119150.582767488085021
461918.49221732589820.507782674101756
472217.51488152636264.48511847363737
482217.02789395928594.97210604071407
491818.0056408757535-0.00564087575348349
501617.4550412540825-1.45504125408248
511415.3738642105948-1.37386421059475
521212.1767354117592-0.176735411759213
531412.07862273955211.92137726044788
541611.34872380969094.65127619030905
5586.28562016291121.71437983708881
5634.92673951487706-1.92673951487706
5703.7702318862186-3.7702318862186
5853.851546001268991.14845399873101
5913.05962850515506-2.05962850515506
6011.97132217751454-0.97132217751454
6133.02013867401481-0.0201386740148131


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.4554787792375160.9109575584750320.544521220762484
70.4856264310967380.9712528621934760.514373568903262
80.3764400639134080.7528801278268170.623559936086592
90.2604171192010560.5208342384021120.739582880798944
100.1721785700666170.3443571401332330.827821429933383
110.2613696916461480.5227393832922970.738630308353852
120.3520079868359930.7040159736719870.647992013164007
130.3041590816632450.6083181633264890.695840918336756
140.6027172033962920.7945655932074150.397282796603708
150.5982895543347650.803420891330470.401710445665235
160.5459675736303980.9080648527392040.454032426369602
170.4714089996631140.9428179993262270.528591000336886
180.6326020041936640.7347959916126730.367397995806336
190.6851368667183990.6297262665632020.314863133281601
200.6983019532536560.6033960934926880.301698046746344
210.8011921851091930.3976156297816150.198807814890808
220.9210528944886580.1578942110226840.078947105511342
230.9085035238404870.1829929523190250.0914964761595126
240.8954958818751260.2090082362497490.104504118124874
250.8736492047653750.2527015904692490.126350795234625
260.8857010215249030.2285979569501930.114298978475097
270.9715161621044810.0569676757910370.0284838378955185
280.9775638193974730.04487236120505310.0224361806025265
290.9746388289563850.050722342087230.025361171043615
300.9675823669280530.06483526614389420.0324176330719471
310.9854402644512480.02911947109750440.0145597355487522
320.9915918960958510.01681620780829760.00840810390414882
330.9983720759278850.003255848144230850.00162792407211542
340.9972725911637060.005454817672587420.00272740883629371
350.9957284285501840.008543142899631430.00427157144981571
360.992773016809740.01445396638051960.00722698319025982
370.9899057392395040.02018852152099110.0100942607604956
380.9842503605177670.03149927896446540.0157496394822327
390.9751774469430940.04964510611381110.0248225530569055
400.961927665400980.07614466919804010.0380723345990200
410.9444626605134010.1110746789731970.0555373394865986
420.9160741011355240.1678517977289530.0839258988644763
430.8772417322357470.2455165355285050.122758267764253
440.929416498392190.1411670032156200.0705835016078101
450.9027503414224090.1944993171551810.0972496585775907
460.8732848779075320.2534302441849350.126715122092468
470.8617891774846560.2764216450306880.138210822515344
480.9157731510412550.168453697917490.084226848958745
490.8678175765797560.2643648468404880.132182423420244
500.872402596245740.2551948075085190.127597403754260
510.9353119580433360.1293760839133290.0646880419566645
520.9367525974511720.1264948050976560.0632474025488278
530.9320160555142940.1359678889714110.0679839444857057
540.893789060637380.2124218787252400.106210939362620
550.8328754392129060.3342491215741880.167124560787094


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.06NOK
5% type I error level100.2NOK
10% type I error level140.28NOK