Multiple Linear Regression - Estimated Regression Equation
wngbw[t] = + 2613.94906149101 -12.6101596071860`<25`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2613.94906149101412.4704586.337300
`<25`-12.610159607186019.859534-0.6350.5279470.263973


Multiple Linear Regression - Regression Statistics
Multiple R0.0830870362217952
R-squared0.0069034555881219
Adjusted R-squared-0.010218898625876
F-TEST (value)0.403183785467899
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.527946632050694
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation351.478594444187
Sum Squared Residuals7165157.73644276


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
122532426.05768334395-173.057683343953
222182379.40009279735-161.400092797350
318552373.09501299376-518.095012993757
421872376.87806087591-189.878060875913
518522384.44415664022-532.444156640224
615702386.96618856166-816.966188561661
718512374.35602895448-523.356028954475
819542352.91875762226-398.918757622259
918282346.61367781867-518.613677818666
1022512352.91875762226-101.918757622259
1122772366.78993319016-89.7899331901638
1220852379.40009279735-294.400092797350
1322822378.13907683663-96.1390768366312
1422662313.82726283998-47.8272628399827
1518782299.95608727208-421.956087272078
1622672301.21710323280-34.2171032327968
1720692313.82726283998-244.827262839983
1817462332.74250225076-586.742502250762
1922992340.30859801507-41.3085980150733
2023602352.918757622267.08124237774075
2122142365.52891722945-151.528917229445
2228252381.92212471879443.077875281213
2323552394.53228432597-39.5322843259730
2423332399.57634816885-66.5763481688473
2530162386.96618856166629.033811438339
2621552313.82726283998-158.827262839983
2721722292.38999150777-120.389991507767
2821502291.12897554705-141.128975547048
2925332315.0882788007217.911721199299
3020582336.52555013292-278.525550132917
3121602345.35266185795-185.352661857948
3222602352.91875762226-92.9187576222592
3324982356.70180550442141.298194495585
3426952357.96282146513337.037178534866
3527992356.70180550442442.298194495585
3629462364.26790126873581.732098731273
3729302368.05094915088561.949050849118
3823182322.65437456501-4.6543745650129
3925402317.61031072214222.389689277861
4025702317.61031072214252.389689277861
4126692325.17640648645343.82359351355
4224502337.78656609364112.213433906364
4328422342.83062993651499.16937006349
4434402355.440789543701084.55921045630
4526782359.22383742585318.776162574148
4629812369.3119651116611.688034888399
4722602371.83399703304-111.833997033038
4828442376.87806087591467.121939124087
4925462376.87806087591169.121939124087
5024562328.95945436861127.040545631394
5122952320.13234264358-25.1323426435757
5223792323.9153905257355.0846094742685
5324792344.09164589723134.908354102771
5420572363.00688530801-306.006885308008
5522802376.87806087591-96.8780608759126
5623512379.40009279735-28.4000927973498
5722762381.92212471879-105.922124718787
5825482379.40009279735168.599907202650
5923112363.00688530801-52.006885308008
6022012371.83399703304-170.833997033038


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.2078398188323690.4156796376647380.792160181167631
60.4540129199302950.908025839860590.545987080069705
70.3477092005088320.6954184010176640.652290799491168
80.2631980558672460.5263961117344920.736801944132754
90.1938822353584640.3877644707169280.806117764641536
100.2418999337570920.4837998675141840.758100066242908
110.2456446467693690.4912892935387380.754355353230631
120.1943934087500140.3887868175000270.805606591249986
130.1851818245016440.3703636490032870.814818175498356
140.1623599981250860.3247199962501720.837640001874914
150.1407697663223560.2815395326447130.859230233677644
160.1175680978673650.235136195734730.882431902132635
170.08336471339355470.1667294267871090.916635286606445
180.1347531925790630.2695063851581250.865246807420937
190.1247877941134950.249575588226990.875212205886505
200.1261135649557990.2522271299115990.8738864350442
210.1077616615065900.2155233230131790.89223833849341
220.3420450530229360.6840901060458720.657954946977064
230.3146852432371960.6293704864743930.685314756762804
240.2917870041983780.5835740083967550.708212995801622
250.6075627896197450.7848744207605110.392437210380255
260.5544388018369220.8911223963261560.445561198163078
270.4974473606475170.9948947212950340.502552639352483
280.4482065249784790.8964130499569580.551793475021521
290.4460791223027220.8921582446054430.553920877697278
300.4503720573015800.9007441146031610.54962794269842
310.4311863052059870.8623726104119750.568813694794013
320.3949423034286560.7898846068573110.605057696571344
330.3616966422759360.7233932845518720.638303357724064
340.3850156352656920.7700312705313840.614984364734308
350.4496926754614900.8993853509229810.55030732453851
360.5915037976458910.8169924047082170.408496202354109
370.6969570920749470.6060858158501060.303042907925053
380.6483149496047260.7033701007905480.351685050395274
390.5950652672432690.8098694655134620.404934732756731
400.5399151211855590.9201697576288820.460084878814441
410.5026211678015690.9947576643968630.497378832198431
420.4276588060386590.8553176120773180.572341193961341
430.4589290849842290.9178581699684580.541070915015771
440.9596811299791370.08063774004172520.0403188700208626
450.9540902204078630.09181955918427450.0459097795921372
460.9929867894526450.01402642109471090.00701321054735543
470.9875215293801390.02495694123972270.0124784706198613
480.9985153653432130.002969269313573660.00148463465678683
490.9984466558638190.003106688272362210.00155334413618111
500.9964981933401480.007003613319704630.00350180665985231
510.9908751035295590.01824979294088290.00912489647044144
520.976340455536750.04731908892649970.0236595444632498
530.9851137297078910.02977254058421750.0148862702921087
540.975600194996220.04879961000756170.0243998050037809
550.9288276877240350.1423446245519300.0711723122759651


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0588235294117647NOK
5% type I error level90.176470588235294NOK
10% type I error level110.215686274509804NOK