Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 10478.8954186677 -149.383931152047X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)10478.89541866771807.8634885.796300
X-149.38393115204745.83193-3.25940.001870.000935


Multiple Linear Regression - Regression Statistics
Multiple R0.393458566501769
R-squared0.154809643553627
Adjusted R-squared0.140237396028689
F-TEST (value)10.6235941496808
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.00187029886726986
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation589.802071683868
Sum Squared Residuals20176256.0582298


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
155604999.4928240107560.507175989303
239224996.50514538762-1074.50514538762
337594995.0113060761-1236.0113060761
441384993.51746676458-855.51746676458
546344992.02362745306-358.023627453061
639964992.02362745306-996.02362745306
743084971.10987709177-663.109877091774
844294905.38094738487-476.380947384873
952194893.43023289271325.569767107291
1049294888.9487149581540.0512850418521
1157554875.50416115446879.495838845536
1255924851.60273217014740.397267829864
1341634851.60273217014-688.602732170136
1449624845.62737492405116.372625075945
1552084835.17049974341372.829500256589
1647554833.67666043189-78.676660431891
1744914826.20746387429-335.207463874288
1857324820.23210662821911.767893371794
1957314751.51549829826979.484501701735
2050404715.66335482177324.336645178226
2161024694.749604460491407.25039553951
2249044678.31737203376225.682627966237
2353694667.86049685312701.13950314688
2455784664.87281823008913.127181769922
2546194661.88513960704-42.8851396070377
2647314637.9837106227193.0162893772903
2750114632.00835337663378.991646623372
2852994629.02067475359669.979325246412
2941464605.11924576926-459.11924576926
3046254602.1315671462222.8684328537817
3147364587.19317403101148.806825968986
3242194515.48888707803-296.488887078032
3351164475.15522566698640.84477433302
3442054473.66138635546-268.661386355458
3541214463.20451117481-342.204511174815
3651034461.71067186329641.289328136705
3743004458.72299324025-158.722993240255
3845784452.74763599417125.252364005828
3938094443.78460012505-634.78460012505
4055264439.303082190491086.69691780951
4142474431.83388563289-184.833885632886
4238304431.83388563289-601.833885632886
4343944409.42629596008-15.4262959600784
4448264392.99406353335433.005936466647
4544094388.5125455987920.4874544012083
4645694367.59879523751201.401204762494
4741064366.10495592598-260.104955925985
4847944349.67272349926444.32727650074
4939144354.15424143382-440.154241433822
5037934348.17888418774-555.17888418774
5144054304.85754415365100.142455846354
5240224288.42531172692-266.425311726921
5341004285.43763310388-185.43763310388
5447884271.9930793002516.006920699804
5531634271.9930793002-1108.99307930020
5635854233.15325720066-648.153257200663
5739034237.63477513523-334.634775135225
5841784228.6717392661-50.6717392661020
5938634228.6717392661-365.671739266102
6041874225.68406064306-38.6840606430616


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.8407616109289850.318476778142030.159238389071015
60.7798742030906620.4402515938186760.220125796909338
70.860622330707440.2787553385851210.139377669292561
80.8288135311720840.3423729376558320.171186468827916
90.820387310864490.3592253782710220.179612689135511
100.7504903290549620.4990193418900770.249509670945038
110.7737574505509210.4524850988981570.226242549449079
120.7037090852229890.5925818295540210.296290914777011
130.9084966995846120.1830066008307760.0915033004153882
140.8770267492853210.2459465014293570.122973250714679
150.8271888661382690.3456222677234620.172811133861731
160.820885518317390.358228963365220.17911448168261
170.8805092654296250.238981469140750.119490734570375
180.8767686448751250.246462710249750.123231355124875
190.8474732244438930.3050535511122150.152526775556107
200.8402075976975570.3195848046048870.159792402302443
210.8851102251256580.2297795497486840.114889774874342
220.9012025672543540.1975948654912920.098797432745646
230.8805216094227310.2389567811545380.119478390577269
240.8763390191353460.2473219617293080.123660980864654
250.9054483490464570.1891033019070850.0945516509535426
260.9067884831464070.1864230337071860.0932115168535931
270.8839330199621180.2321339600757630.116066980037882
280.8689423771304920.2621152457390160.131057622869508
290.93395250564570.1320949887085980.066047494354299
300.9231682357716380.1536635284567240.0768317642283618
310.9015123822013120.1969752355973760.098487617798688
320.9202093376807320.1595813246385370.0797906623192684
330.9132874930072450.1734250139855090.0867125069927546
340.9168280930290270.1663438139419460.0831719069709728
350.9222327699439950.1555344601120090.0777672300560045
360.9173053413846640.1653893172306720.0826946586153359
370.898877510981650.2022449780367010.101122489018351
380.8617838952622610.2764322094754770.138216104737739
390.9075117656042270.1849764687915460.0924882343957729
400.9698657774208760.06026844515824850.0301342225791242
410.9568901257830010.08621974843399750.0431098742169988
420.9717745758432050.05645084831358890.0282254241567944
430.9549511247670540.09009775046589260.0450488752329463
440.9450857519803040.1098284960393920.054914248019696
450.9144925844058110.1710148311883770.0855074155941885
460.8863480527623880.2273038944752230.113651947237612
470.83975888384080.32048223231840.1602411161592
480.8741063098467580.2517873803064830.125893690153242
490.8226129144278390.3547741711443230.177387085572161
500.7918486190569180.4163027618861640.208151380943082
510.7216812350173860.5566375299652280.278318764982614
520.6109435450013890.7781129099972220.389056454998611
530.4843717714722360.9687435429444730.515628228527764
540.9704027966020530.05919440679589340.0295972033979467
550.927147397121140.1457052057577200.0728526028788601


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level50.0980392156862745OK