Multiple Linear Regression - Estimated Regression Equation
TW[t] = + 8.1012229396126 + 0.0364793011773642CV[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.10122293961260.1309661.860200
CV0.03647930117736420.0172412.11590.0386570.019329


Multiple Linear Regression - Regression Statistics
Multiple R0.267691926597655
R-squared0.0716589675655644
Adjusted R-squared0.0556530876960053
F-TEST (value)4.47704019707464
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0386571938482783
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.722321951349474
Sum Squared Residuals30.2614420812761


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.97.991785036080540.90821496391946
28.88.064743638435240.735256361564756
38.37.991785036080520.308214963919485
47.57.95530573490315-0.455305734903152
57.27.88234713254842-0.682347132548423
67.48.1012229396126-0.701222939612608
78.87.955305734903150.844694265096849
89.38.028264337257881.27173566274212
99.38.028264337257881.27173566274212
108.77.882347132548420.817652867451576
118.27.845867831371060.35413216862894
128.37.882347132548420.417652867451577
138.57.882347132548420.617652867451577
148.67.991785036080520.608214963919484
158.58.028264337257880.47173566274212
168.27.918826433725790.281173566274212
178.17.69995062666160.400049373338397
187.97.69995062666160.200049373338398
198.67.69995062666160.900049373338397
208.77.736429927838970.963570072161033
218.77.590512723129511.10948727687049
228.57.80938853019370.690611469806305
238.47.772909229016330.62709077098367
248.57.918826433725790.581173566274212
258.78.064743638435240.635256361564755
268.78.028264337257880.671735662742119
278.67.918826433725790.681173566274212
288.57.955305734903150.544694265096848
298.37.882347132548420.417652867451577
3088.02826433725788-0.0282643372578802
318.28.028264337257880.171735662742119
328.18.028264337257880.0717356627421195
338.18.028264337257880.0717356627421195
3488.17418154196734-0.174181541967337
357.98.13770224078997-0.237702240789972
367.97.80938853019370.0906114698063053
3788.06474363843524-0.0647436384352444
3888.13770224078997-0.137702240789973
397.98.06474363843524-0.164743638435244
4088.17418154196734-0.174181541967337
417.78.17418154196734-0.474181541967337
427.28.13770224078997-0.937702240789973
437.58.06474363843524-0.564743638435244
447.38.02826433725788-0.72826433725788
4578.02826433725788-1.02826433725788
4678.06474363843524-1.06474363843524
4777.8093885301937-0.809388530193695
487.27.95530573490315-0.755305734903152
497.37.88234713254842-0.582347132548424
507.17.99178503608052-0.891785036080516
516.87.99178503608052-1.19178503608052
526.47.84586783137106-1.44586783137106
536.17.77290922901633-1.67290922901633
546.57.6999506266616-1.19995062666160
557.77.626992024306870.0730079756931261
567.97.69995062666160.200049373338398
577.57.77290922901633-0.272909229016331
586.97.48107481959742-0.581074819597417
596.67.2986783137106-0.698678313710597
606.97.1892404101785-0.289240410178503


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.2307406405394540.4614812810789070.769259359460546
60.6623260676885640.6753478646228720.337673932311436
70.6773809591166340.6452380817667320.322619040883366
80.7593968147499940.4812063705000120.240603185250006
90.8005031494580440.3989937010839120.199496850541956
100.7844689672165710.4310620655668580.215531032783429
110.706312008449580.587375983100840.29368799155042
120.6233569631653250.753286073669350.376643036834675
130.5562691139867220.8874617720265570.443730886013278
140.4865225716876080.9730451433752160.513477428312392
150.4112515076187630.8225030152375270.588748492381237
160.3351038067891120.6702076135782230.664896193210888
170.2687754666905380.5375509333810750.731224533309462
180.2055849928211360.4111699856422710.794415007178864
190.2151299217064030.4302598434128050.784870078293597
200.2326526401039660.4653052802079330.767347359896034
210.2846718329215950.569343665843190.715328167078405
220.2722290873046130.5444581746092250.727770912695388
230.261268086820340.522536173640680.73873191317966
240.2490270315979520.4980540631959030.750972968402049
250.2516317725362420.5032635450724850.748368227463758
260.2730145136052160.5460290272104320.726985486394784
270.3160374506712310.6320749013424610.68396254932877
280.3489687400811530.6979374801623060.651031259918847
290.3788584372023450.757716874404690.621141562797655
300.3692515885645830.7385031771291650.630748411435417
310.3705101957321020.7410203914642050.629489804267898
320.3692654936344600.7385309872689190.63073450636554
330.374472531944340.748945063888680.62552746805566
340.3538615893694330.7077231787388650.646138410630567
350.3349593143904560.6699186287809130.665040685609544
360.3798101237660680.7596202475321350.620189876233932
370.3911667258303650.782333451660730.608833274169635
380.4005307106346880.8010614212693760.599469289365312
390.4239127471031130.8478254942062250.576087252896887
400.4728450742331050.945690148466210.527154925766895
410.4852180277862090.9704360555724170.514781972213791
420.5056169212683710.9887661574632570.494383078731629
430.5088645157245960.9822709685508070.491135484275404
440.5098069365340260.9803861269319480.490193063465974
450.5278648445175660.9442703109648680.472135155482434
460.518349025793320.963301948413360.48165097420668
470.5284021613283070.9431956773433860.471597838671693
480.484673096026350.96934619205270.51532690397365
490.4459427795896180.8918855591792360.554057220410382
500.3893822680156780.7787645360313560.610617731984322
510.3463881449886980.6927762899773950.653611855011302
520.4196615422788820.8393230845577630.580338457721118
530.7533847962829850.493230407434030.246615203717015
540.9427760946682070.1144478106635870.0572239053317933
550.8862461047755370.2275077904489270.113753895224463


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 level00OK