Multiple Linear Regression - Estimated Regression Equation
wngb[t] = + 1681.39441980409 + 25.6802893156051`<25`[t] + 239.567189564934M1[t] -205.134354973182M2[t] -371.241281120370M3[t] -214.467917951953M4[t] -184.300659681619M5[t] -507.106189838661M6[t] -196.569557234498M7[t] -13.2281651345211M8[t] -189.659561461919M9[t] + 175.472311646427M10[t] -88.4135078262194M11[t] + 8.90827154945574t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1681.39441980409447.0848963.76080.0004770.000239
`<25`25.680289315605123.5782621.08920.281760.14088
M1239.567189564934179.3709451.33560.1882520.094126
M2-205.134354973182201.199127-1.01960.313270.156635
M3-371.241281120370211.048258-1.7590.0852220.042611
M4-214.467917951953209.10242-1.02570.3104160.155208
M5-184.300659681619196.018195-0.94020.3520150.176007
M6-507.106189838661185.82202-2.7290.0089690.004485
M7-196.569557234498183.297603-1.07240.2891320.144566
M8-13.2281651345211181.885959-0.07270.9423380.471169
M9-189.659561461919180.497621-1.05080.2988580.149429
M10175.472311646427178.651980.98220.3311380.165569
M11-88.4135078262194178.147494-0.49630.622050.311025
t8.908271549455742.1944014.05950.0001899.5e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.705597659500331
R-squared0.497868057092345
Adjusted R-squared0.355961203661921
F-TEST (value)3.50841446383311
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0.000797409462064635
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation280.638436043883
Sum Squared Residuals3622864.86211721


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
122532312.50619172101-59.506191721009
222181971.72998920007246.270010799925
318551827.3714792601427.628520739855
421871985.34902718334201.650972816664
518522009.01638341376-157.016383413763
615701689.98306694306-119.983066943056
718512035.10826041228-184.108260412278
819542271.01441589824-317.01441589824
918282116.3314357781-288.331435778101
1022512477.5314357781-226.531435778101
1122772194.3055696077482.6944303922565
1220852265.94705966781-180.947059667814
1322822516.99054971376-234.990549713764
1422662212.1667522346953.83324776531
1518782083.21641588412-205.216415884124
1622672246.3300216704420.6699783295644
1720692259.72526217462-190.725262174620
1817461907.30756959363-161.307569593627
1922992211.3443001578887.6556998421186
2023602377.91367449171-17.9136744917094
2122142184.7102603981629.2897396018383
2228252525.36602894568299.633971054322
2323552244.70819170688110.291808293119
2423332331.757855356311.24214464368536
2530162605.91360578631410.08639421369
2621552319.06601082816-164.066010828159
2721722205.52384806696-33.5238480669555
2821502373.77351171639-223.773511716389
2925332364.05649183653168.943508163471
3020582006.5027413924151.4972586075861
3121602307.97144302511-147.971443025108
3222602484.81293308518-224.812933085178
3324982309.58572151255188.414278487446
3426952681.0578372388013.9421627612039
3527992428.64831824717370.351681752835
3629462510.56192403348435.438075966522
3729302751.33329835319178.666701646814
3823182407.98906690070-89.9890669007047
3925402261.06252802921278.937471970786
4025702426.74416274709143.255837252913
4126692450.41151897751218.588481022486
4224502110.83397105432339.166028945678
4328422420.0067594817421.993240518302
4434402586.57613381553853.423866184474
4526782411.3489222429266.651077757098
4629812764.84483544822216.155164551780
4722602504.73122966191-244.731229661908
4828442591.78089331134252.219106688658
4925462840.25635442573-294.256354425731
5024562502.04818083637-46.0481808363711
5122952362.82572875956-67.8257287595621
5223792520.80327668275-141.803276682753
5324792518.79034359757-39.7903435975746
5420572166.37265101658-109.372651016581
5522802457.56923692303-177.569236923033
5623512644.68284270935-293.682842709345
5722762472.02366006828-196.023660068282
5825482851.19986258921-303.199862589206
5923112629.6066907763-318.606690776301
6022012708.95226763105-507.952267631052


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.01227146846400870.02454293692801740.987728531535991
180.004675626087892180.009351252175784350.995324373912108
190.007307772243414250.01461554448682850.992692227756586
200.002383981472755340.004767962945510670.997616018527245
210.0008932019194873990.001786403838974800.999106798080513
220.0002559738403573650.000511947680714730.999744026159643
230.002022145125795580.004044290251591170.997977854874204
240.0009001603102088330.001800320620417670.999099839689791
250.002004394624157340.004008789248314690.997995605375843
260.01168932764505630.02337865529011260.988310672354944
270.006822412702539310.01364482540507860.99317758729746
280.01491919012771350.0298383802554270.985080809872287
290.01342782467625660.02685564935251320.986572175323743
300.008648281092833260.01729656218566650.991351718907167
310.01797971229404920.03595942458809840.98202028770595
320.1483374226365360.2966748452730730.851662577363464
330.1534668593549440.3069337187098880.846533140645056
340.3133359117942540.6266718235885080.686664088205746
350.2499999854977520.4999999709955030.750000014502249
360.2683081608986790.5366163217973580.73169183910132
370.1885217129882260.3770434259764520.811478287011774
380.3169947316096510.6339894632193020.683005268390349
390.2273747267268450.4547494534536910.772625273273154
400.1666818835243000.3333637670486000.8333181164757
410.1567952552714000.3135905105427990.8432047447286
420.1243098534243190.2486197068486380.875690146575681
430.1040586994305300.2081173988610600.89594130056947


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level70.259259259259259NOK
5% type I error level150.555555555555556NOK
10% type I error level150.555555555555556NOK