Multiple Linear Regression - Estimated Regression Equation
WRKL(index)[t] = + 92.199660809865 + 0.167067318566415IND[t] -0.0875444282137551GRON[t] -4.59226868346676M1[t] -9.04060415156694M2[t] -10.7862675637739M3[t] -8.53221783711622M4[t] -5.09549250905359M5[t] -4.49506788834226M6[t] -6.2052324845473M7[t] -6.33400974837707M8[t] -8.07746333962857M9[t] -9.49496357315392M10[t] + 1.88043599877322M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)92.19966080986512.904047.14500
IND0.1670673185664150.1463671.14140.25960.1298
GRON-0.08754442821375510.01374-6.371500
M1-4.592268683466764.335642-1.05920.2950430.147522
M2-9.040604151566944.408333-2.05080.0460080.023004
M3-10.78626756377393.933809-2.74190.0086720.004336
M4-8.532217837116223.573799-2.38740.0211320.010566
M5-5.095492509053593.562043-1.43050.1593330.079666
M6-4.495067888342263.590704-1.25190.2169480.108474
M7-6.20523248454734.046778-1.53340.1320330.066016
M8-6.334009748377073.618916-1.75030.0867430.043371
M9-8.077463339628573.563522-2.26670.0281550.014077
M10-9.494963573153924.070397-2.33270.0240940.012047
M111.880435998773223.7746840.49820.6207380.310369


Multiple Linear Regression - Regression Statistics
Multiple R0.758914349095157
R-squared0.575950989262526
Adjusted R-squared0.456111051445414
F-TEST (value)4.80600207037395
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value3.39822078809782e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.42760974112452
Sum Squared Residuals1355.11158508969


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110094.2647276969375.73527230306293
293.588.15726660818365.34273339181641
388.286.07774555414712.12225444585289
489.288.58661477406250.613385225937554
591.489.92589793309441.47410206690563
692.590.40208679790842.09791320209159
791.488.65635043981122.74364956018878
888.288.2801808132763-0.080180813276266
987.186.40809403636580.691905963634222
1084.986.492179869411-1.59217986941096
1192.591.9253902303990.574609769600989
1293.591.50203517912921.99796482087082
1393.589.88597122750293.61402877249707
1491.484.95341753086356.44658246913653
1590.384.28755145435266.01244854564736
1691.484.95666036951026.44333963048978
1793.586.41508936641957.08491063358052
1893.587.5621617133355.93783828666502
1992.588.04445126162894.45554873837114
2091.483.75347021849077.64652978150933
2189.283.100559374166.09944062583996
228682.7746810366453.22531896335501
2388.288.2386906535105-0.0386906535104934
2487.189.0823233499818-1.98232334998178
2587.188.9101480565739-1.81014805657388
268685.41116468446110.588835315538858
2784.982.87146118334482.02853881665519
2884.982.54284061216892.3571593878311
298688.1185816084883-2.11858160848829
308687.6478248386732-1.64782483867319
3184.987.4139236320123-2.51392363201233
328684.02531385561031.97468614438972
3382.882.79021235530720.00978764469281779
3477.482.0447151696747-4.64471516967472
3580.688.1729832918753-7.57298329187535
3678.589.0613981027171-10.5613981027171
3775.384.4988495260384-9.19884952603839
3875.380.3475418744325-5.04754187443252
3975.375.164342885390.135657114610073
4077.475.57283831643341.82716168356657
4178.579.7378963717703-1.23789637177028
4276.379.2096615246586-2.90966152465861
4373.175.1160897661586-2.0160897661586
4468.875.0234498394057-6.22344983940574
4565.668.8022170343213-3.20221703432133
4669.966.42846273273893.47153726726116
4782.873.9101838818058.88981611819508
4884.977.12061508966427.77938491033579
4980.678.94030349294771.65969650705227
5074.281.5306093020593-7.33060930205928
517181.2988989227655-10.2988989227655
5274.285.441045927825-11.241045927825
5382.888.0025347202276-5.20253472022758
548689.4782651254248-3.4782651254248
558688.669184900389-2.66918490038898
5682.886.117585273217-3.31758527321704
5778.582.0989171998457-3.59891719984567
5879.680.0599611915305-0.459961191530488
5987.188.9527519424102-1.85275194241023
6089.286.43362827850772.76637172149227


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.08831765986649870.1766353197329970.911682340133501
180.03406638474421080.06813276948842160.96593361525579
190.02093411866303080.04186823732606160.97906588133697
200.02540841238772030.05081682477544060.97459158761228
210.01316176135101570.02632352270203140.986838238648984
220.005935216538861830.01187043307772370.994064783461138
230.006997613517813130.01399522703562630.993002386482187
240.01315296872299670.02630593744599330.986847031277003
250.05297472520269750.1059494504053950.947025274797302
260.08005563101618450.1601112620323690.919944368983816
270.08171105521065240.1634221104213050.918288944789348
280.08336899590689380.1667379918137880.916631004093106
290.08337822035383250.1667564407076650.916621779646168
300.07535074832043080.1507014966408620.924649251679569
310.06769326562450660.1353865312490130.932306734375493
320.07643641846254580.1528728369250920.923563581537454
330.1597691750975300.3195383501950600.84023082490247
340.1850469134137650.3700938268275300.814953086586235
350.1682966100859010.3365932201718020.831703389914099
360.278650352697390.557300705394780.72134964730261
370.5578668851288630.8842662297422740.442133114871137
380.4728992212548670.9457984425097330.527100778745133
390.6311244633971780.7377510732056450.368875536602822
400.7875817870244530.4248364259510940.212418212975547
410.758088042844230.4838239143115410.241911957155771
420.6185303383648540.7629393232702920.381469661635146
430.8341064602936490.3317870794127020.165893539706351


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.185185185185185NOK
10% type I error level70.259259259259259NOK