Multiple Linear Regression - Estimated Regression Equation
wkl[t] = + 376.062094076818 + 0.0298370997039684bvg[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)376.06209407681822.57326916.659600
bvg0.02983709970396840.0107652.77160.0074510.003726


Multiple Linear Regression - Regression Statistics
Multiple R0.339409919584129
R-squared0.115199093512105
Adjusted R-squared0.100202467978412
F-TEST (value)7.68166766938906
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0.00745117171111098
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation24.8730936911148
Sum Squared Residuals36501.5765962516


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1462433.31948840873328.6805115912674
2455433.08079161110221.9192083888985
3461431.85747052323929.1425294767612
4461443.58345070689817.4165492931016
5463429.82854774336933.1714522566311
6462431.64861082531130.351389174689
7456435.40808538801120.591914611989
8455441.61420212643613.3857978735636
9456447.9396672636788.06033273632226
10472450.71451753614721.2854824638532
11472453.42969360920818.5703063907921
12471453.57887910772817.4211208922722
13465437.31765976906527.682340230935
14459442.091595721716.9084042783001
15465442.83752321429922.1624767857008
16468446.44781227847921.5521877215207
17467440.24169554005426.7583044599461
18463449.87907874443613.1209212555643
19460467.930524065337-7.93052406533657
20462445.04546859239316.9545314076072
21461452.5942548174978.40574518250319
22476434.90085469304441.0991453069564
23476450.17744974147525.8225502585246
24471441.76338762495629.2366123750437
25453440.24169554005412.7583044599461
26443435.0202030918597.97979690814057
27442436.0943386812025.90566131879771
28444439.1377228510074.86227714899293
29438428.933434752259.06656524775013
30427434.453298197484-7.45329819748403
31424437.824890464032-13.8248904640325
32416435.437922487715-19.4379224877150
33406441.166645630877-35.1666456308769
34431435.974990282386-4.97499028238642
35434433.2299771096210.770022890378676
36418447.58162206723-29.5816220672301
37412439.137722851007-27.1377228510071
38404429.112457350474-25.1124573504737
39409425.02477469103-16.02477469103
40412441.285994029693-29.2859940296928
41406428.963271851954-22.9632718519538
42398429.321317048401-31.3213170484015
43397442.210944120516-45.2109441205158
44385440.301369739462-55.3013697394618
45390432.603398015838-42.603398015838
46413449.90891584414-36.9089158441397
47413429.560013846033-16.5600138460332
48401444.926120193577-43.9261201935769
49397437.257985569657-40.2579855696571
50397432.69290931495-35.6929093149499
51409439.973161642718-30.9731616427182
52419431.976818922055-12.9768189220546
53424422.6079696150091.39203038499142
54428430.007570341593-2.00757034159274
55430423.0555261105686.9444738894319
56424421.563671125372.43632887463032
57433435.646782185643-2.64678218564276
58456428.36652985787427.6334701421255
59459424.48770689635934.5122931036414
60446443.2254055104512.77459448954926
61441432.4542125173188.54578748268185


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.00437104698071480.00874209396142960.995628953019285
60.0006071364593604140.001214272918720830.99939286354064
70.0001704132219142010.0003408264438284030.999829586778086
83.56571163736578e-057.13142327473157e-050.999964342883626
94.42641435673939e-068.85282871347877e-060.999995573585643
105.63982604130106e-050.0001127965208260210.999943601739587
112.87778107006901e-055.75556214013802e-050.9999712221893
128.41973385408472e-061.68394677081694e-050.999991580266146
132.72780317336709e-065.45560634673418e-060.999997272196827
148.09601159597028e-071.61920231919406e-060.99999919039884
152.08441530095982e-074.16883060191965e-070.99999979155847
166.2371434721413e-081.24742869442826e-070.999999937628565
172.55685487675522e-085.11370975351044e-080.999999974431451
187.739704615356e-091.5479409230712e-080.999999992260295
191.03288548295657e-082.06577096591313e-080.999999989671145
203.17205737465386e-096.34411474930771e-090.999999996827943
211.19497548782806e-092.38995097565612e-090.999999998805025
222.03041065623680e-084.06082131247361e-080.999999979695893
231.35402265226444e-072.70804530452887e-070.999999864597735
244.31548984901247e-078.63097969802494e-070.999999568451015
251.14250759158454e-062.28501518316909e-060.999998857492408
261.13355021755983e-052.26710043511966e-050.999988664497824
276.2677092364401e-050.0001253541847288020.999937322907636
280.0002250015264170030.0004500030528340050.999774998473583
290.0005020273259849830.001004054651969970.999497972674015
300.003651386117739030.007302772235478060.996348613882261
310.01723738062859560.03447476125719120.982762619371404
320.06035071688846250.1207014337769250.939649283111538
330.2219855094076520.4439710188153040.778014490592348
340.2245119295882570.4490238591765140.775488070411743
350.212559998131750.42511999626350.78744000186825
360.3104418769423560.6208837538847120.689558123057644
370.3709120702974850.741824140594970.629087929702515
380.4395264571964430.8790529143928860.560473542803557
390.4429830384307830.8859660768615670.557016961569217
400.4621300767736530.9242601535473070.537869923226347
410.4702211809729060.9404423619458120.529778819027094
420.5462532002295060.9074935995409880.453746799770494
430.6164295391794720.7671409216410560.383570460820528
440.773861112297010.452277775405980.22613888770299
450.8712771245742620.2574457508514750.128722875425738
460.8496716756638540.3006566486722920.150328324336146
470.8164134816003050.3671730367993910.183586518399695
480.811341247596320.3773175048073610.188658752403681
490.8625823832601080.2748352334797850.137417616739892
500.9362454823354940.1275090353290130.0637545176645065
510.9614986657632930.07700266847341440.0385013342367072
520.9610315907256450.07793681854871030.0389684092743552
530.9384747288706960.1230505422586080.0615252711293042
540.9056203612638690.1887592774722620.094379638736131
550.8446184574221480.3107630851557040.155381542577852
560.9288502727933390.1422994544133230.0711497272066615


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level260.5NOK
5% type I error level270.519230769230769NOK
10% type I error level290.557692307692308NOK