Multiple Linear Regression - Estimated Regression Equation
wkh[t] = + 29.0258358269593 -7.66040871202718e-05los[t] -0.0102476863359301M1[t] -0.0367149244378123M2[t] -0.542583206261581M3[t] -0.703472642147917M4[t] -0.83090672136853M5[t] -0.083568878298148M6[t] + 0.0373315671599241M7[t] + 0.0617584549197351M8[t] -0.35840149526647M9[t] -0.458542865393233M10[t] -0.483361368749547M11[t] + 0.00841726582995854t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)29.02583582695934.4926256.460800
los-7.66040871202718e-051.7e-05-4.50494.5e-052.3e-05
M1-0.01024768633593010.260733-0.03930.9688190.484409
M2-0.03671492443781230.261875-0.14020.8891140.444557
M3-0.5425832062615810.262041-2.07060.0440350.022017
M4-0.7034726421479170.260294-2.70260.0096050.004803
M5-0.830906721368530.259756-3.19880.00250.00125
M6-0.0835688782981480.259079-0.32260.7484890.374245
M70.03733156715992410.2589630.14420.8860050.443003
M80.06175845491973510.2596670.23780.8130630.406532
M9-0.358401495266470.26083-1.37410.1760750.088037
M10-0.4585428653932330.260063-1.76320.0845090.042255
M11-0.4833613687495470.266248-1.81550.0759760.037988
t0.008417265829958540.0060041.4020.1676220.083811


Multiple Linear Regression - Regression Statistics
Multiple R0.759797768866946
R-squared0.577292649575189
Adjusted R-squared0.457831876629046
F-TEST (value)4.83248714484256
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value3.19679927507366e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.408573917739366
Sum Squared Residuals7.67890172781713


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.28.51540599443998-0.315405994439982
288.62903844792777-0.629038447927774
37.98.36385102408263-0.463851024082628
47.68.01603843186956-0.416038431869558
57.67.96175207209553-0.361752072095532
68.38.292584309739720.00741569026027663
78.48.47667394331875-0.0766739433187496
88.48.59002899247193-0.190028992471925
98.48.380750910374560.0192490896254434
108.48.22268766663160.177312333368403
118.68.486810596139680.113189403860323
128.98.498511416736440.401488583263561
138.88.455008372837040.344991627162961
148.38.35407277830098-0.054072778300981
157.58.16817058462532-0.668170584625318
167.27.67864043123974-0.478640431239744
177.47.6620432823289-0.262043282328893
188.88.311395314219180.488604685780825
199.38.52796508073720.772034919262805
209.38.471565472831850.828434527168152
218.78.377193521414890.322806478585111
228.28.52125679727428-0.321256797274281
238.38.3963075682985-0.0963075682984987
248.58.58925365902182-0.0892536590218252
258.68.64142911993565-0.0414291199356455
268.58.334734947394540.165265052605463
278.28.153735415294570.0462645847054288
288.18.014745564571360.0852544354286385
297.97.704295137467150.195704862532853
308.68.299947704286120.300052295713881
318.78.4419050899490.258094910051005
328.78.64833410495330.0516658950466994
338.58.197293523904350.302706476095646
348.48.132763870535250.267236129464754
358.58.218322672965970.281677327034028
368.78.337269215531120.362730784468884
378.78.354053588195370.34594641180463
388.68.115460449104180.484539550895816
398.57.781788971373510.718211028626485
408.37.872994402446720.427005597553279
4187.771519925006610.22848007499339
428.28.55155852952408-0.351558529524077
438.18.4424077176067-0.342407717606701
448.18.46958316874957-0.36958316874957
4588.21625773655805-0.216257736558046
467.98.01567922446334-0.115679224463335
477.98.20894337338516-0.308943373385162
4888.47504636730835-0.475046367308348
4988.33410292459196-0.334102924591963
507.97.866693377272520.0333066227274757
5187.632454004623970.367545995376031
527.77.317581169872620.382418830127385
537.27.000389583101820.199610416898182
547.57.9445141422309-0.444514142230906
557.37.91104816838836-0.611048168388359
5677.32048826099336-0.320488260993356
5777.42850430774815-0.428504307748154
5877.00761244109554-0.0076124410955417
597.27.189615789210690.0103842107893105
607.37.49991934140227-0.199919341402272


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.5359532505827280.9280934988345450.464046749417272
180.3689085669556460.7378171339112930.631091433044354
190.2928300640712530.5856601281425070.707169935928747
200.4954732306470170.9909464612940350.504526769352983
210.4566453321082150.9132906642164290.543354667891786
220.8746213366231860.2507573267536290.125378663376814
230.8889201575604510.2221596848790980.111079842439549
240.9183396774987190.1633206450025630.0816603225012813
250.9023246113869430.1953507772261150.0976753886130575
260.8974801261433230.2050397477133540.102519873856677
270.9799267123597930.0401465752804130.0200732876402065
280.9994303523678630.001139295264273120.000569647632136559
290.999999173874411.65225118084142e-068.26125590420712e-07
300.9999987148721762.57025564715519e-061.28512782357759e-06
310.999997025703575.94859286175864e-062.97429643087932e-06
320.9999937230547741.25538904512686e-056.27694522563431e-06
330.9999790095381954.19809236100496e-052.09904618050248e-05
340.999943615818920.0001127683621622555.63841810811277e-05
350.9998450085711630.0003099828576745760.000154991428837288
360.9995474883487590.0009050233024817460.000452511651240873
370.999060680330510.001878639338980510.000939319669490256
380.9978057444498840.004388511100231020.00219425555011551
390.9948267154865950.01034656902680920.00517328451340461
400.9903596103889140.01928077922217290.00964038961108646
410.9720789927962150.05584201440756930.0279210072037847
420.9473682046993940.1052635906012120.0526317953006059
430.8970774151426760.2058451697146480.102922584857324


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.407407407407407NOK
5% type I error level140.518518518518518NOK
10% type I error level150.555555555555556NOK