Multiple Linear Regression - Estimated Regression Equation
wkl[t] = + 477.993760890492 + 0.000337047508224897bvg[t] -8.15082618449848M1[t] -20.0515922400293M2[t] -13.4216469414095M3[t] -8.84333732104988M4[t] -8.88767330186228M5[t] -11.9050494733973M6[t] -13.1368512782844M7[t] -17.0475856182171M8[t] -15.2677929888212M9[t] + 6.19349772806338M10[t] + 8.45229429338714M11[t] -1.03850630532863t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)477.99376089049231.66601215.094900
bvg0.0003370475082248970.0113530.02970.9764420.488221
M1-8.1508261844984812.732764-0.64010.5251860.262593
M2-20.051592240029313.754834-1.45780.151550.075775
M3-13.421646941409513.595873-0.98720.3286070.164303
M4-8.8433373210498812.950613-0.68290.4980530.249027
M5-8.8876733018622814.304897-0.62130.5374020.268701
M6-11.905049473397313.475594-0.88350.3814890.190744
M7-13.136851278284412.801573-1.02620.3100550.155027
M8-17.047585618217113.184982-1.2930.2023460.101173
M9-15.267792988821212.714327-1.20080.2358330.117916
M106.1934977280633812.8276930.48280.6314630.315732
M118.4522942933871412.9564770.65240.5173470.258673
t-1.038506305328630.172032-6.036700


Multiple Linear Regression - Regression Statistics
Multiple R0.741731690526168
R-squared0.550165900730807
Adjusted R-squared0.425743703060604
F-TEST (value)4.42176646155290
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value7.76836363377553e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.8705683838929
Sum Squared Residuals18557.4559312513


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1462469.451222568948-7.45122256894819
2455456.509253828024-1.50925382802365
3461462.086873873477-1.08687387347749
4461465.759136859241-4.75913685924094
5463464.520915671808-1.52091567180823
6462460.4855930929461.51440690705374
7456458.257752968767-2.25775296876687
8455453.3786182052161.62138179478368
9456454.1913586010271.8086413989728
10472474.645488430848-2.64548843084813
11472475.896450014092-3.89645001409176
12471466.4073346529174.59266534708293
13465457.0343112711077.9656887288926
14459444.14896651156414.8510334884360
15465449.74883169256115.2511683074393
16468453.32941775608714.6705822439131
17467452.17646958823514.8235304117649
18463448.22945345652814.7705465434719
19460446.16305908878813.8369409112116
20462440.95530300471921.0446969952814
21461441.78186234836719.2181376516333
22476462.00477758754513.9952224124546
23476463.39763617175212.6023638282484
24471453.81178817571617.1882118242836
25453444.605266262978.39473373703014
26443431.60701058817111.3929894118289
27442437.2105832917584.78941670824174
28444440.7847654526283.21523454737176
29438439.586652918674-1.58665291867430
30427435.593124230832-8.5931242308322
31424433.360902489046-9.36090248904592
32416428.384698043127-12.3846980431266
33406429.190697488773-23.190697488773
34431449.554835633898-18.5548356338979
35434450.744117523136-16.7441175231363
36418441.415436775877-23.4154367758767
37412432.130719841222-20.1307198412219
38404419.078199517599-15.0781995175990
39409424.623463002263-15.6234630022632
40412428.346957209277-16.3469572092768
41406427.124914302239-21.1249143022389
42398423.073076395474-25.0730763954739
43397420.948372808811-23.9483728088114
44385415.977561123024-30.9775611230237
45390416.631889189969-26.6318891899689
46413437.250161156295-24.2501611562953
47413438.240585015681-25.2405850156811
48401428.923363883701-27.9233638837011
49397419.64741018426-22.6474101842602
50397406.656569554642-9.65656955464235
51409412.33024813994-3.33024813994032
52419415.7797227227673.22027727723292
53424414.5910475190439.40895248095656
54428410.61875282421917.3812471757805
55430408.26991264458721.7300873554126
56424403.30381962391520.6961803760852
57433404.20419237186428.7958076281358
58456424.54473719141331.4552628085867
59459425.72121127533933.2787887246608
60446416.44207651178929.5579234882113
61441407.13106987149233.8689301285076


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.0001405426059760490.0002810852119520990.999859457394024
186.48173427370901e-061.29634685474180e-050.999993518265726
191.61445512218299e-063.22891024436599e-060.999998385544878
202.20281459475342e-074.40562918950683e-070.99999977971854
211.73875548978238e-083.47751097956477e-080.999999982612445
221.79774390630517e-093.59548781261034e-090.999999998202256
232.33694707305671e-104.67389414611341e-100.999999999766305
242.56239171090847e-105.12478342181695e-100.99999999974376
251.28150305251415e-062.56300610502830e-060.999998718496947
261.74606830111757e-053.49213660223515e-050.999982539316989
270.0002098106737886790.0004196213475773580.999790189326211
280.0004801065831978350.000960213166395670.999519893416802
290.001687925183716050.00337585036743210.998312074816284
300.007889515821676570.01577903164335310.992110484178323
310.01188909660048930.02377819320097850.98811090339951
320.04274068648773150.0854813729754630.957259313512268
330.1074952165899760.2149904331799510.892504783410024
340.1104115585833160.2208231171666310.889588441416684
350.1264627657413630.2529255314827250.873537234258637
360.2809443305421630.5618886610843260.719055669457837
370.4590693735841280.9181387471682550.540930626415872
380.6076020226513230.7847959546973530.392397977348677
390.7260635899783420.5478728200433150.273936410021658
400.9295094649527230.1409810700945540.0704905350472768
410.9900955635219640.01980887295607220.00990443647803609
420.9981499497804560.003700100439088060.00185005021954403
430.9993594569086120.001281086182776060.000640543091388029
440.9991609209190320.001678158161935830.000839079080967915


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.571428571428571NOK
5% type I error level190.678571428571429NOK
10% type I error level200.714285714285714NOK