Multiple Linear Regression - Estimated Regression Equation
Wkz[t] = + 8.58467027907636 -0.234871558766587Ncp[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.584670279076360.19694843.588500
Ncp-0.2348715587665870.071289-3.29460.001670.000835


Multiple Linear Regression - Regression Statistics
Multiple R0.394193156871283
R-squared0.155388244924148
Adjusted R-squared0.141072791448286
F-TEST (value)10.8545806939443
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0.00167001030035618
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.650724001888195
Sum Squared Residuals24.9830618713699


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.48.161901473296470.238098526703529
28.48.208875785049820.191124214950182
38.48.138414317419840.261585682580157
48.68.185388629173160.414611370826839
58.98.208875785049820.691124214950181
68.88.27933725267980.520662747320206
78.38.32631156443311-0.0263115644331116
87.58.13841431741984-0.638414317419843
97.27.97400422628323-0.774004226283232
107.48.0444656939132-0.644465693913208
118.88.020978538036550.779021461963451
129.38.067952849789871.23204715021013
139.38.114927161543181.18507283845682
148.77.903542758653260.796457241346743
158.27.974004226283230.225995773716767
168.38.04446569391320.255534306086792
178.58.04446569391320.455534306086792
188.67.974004226283230.625995773716767
198.57.856568446899940.643431553100061
208.27.927029914529920.272970085470084
218.17.997491382159890.102508617840109
227.97.90354275865326-0.00354275865325595
238.67.856568446899940.743431553100061
248.77.856568446899940.84343155310006
258.77.833081291023280.866918708976719
268.57.997491382159890.502508617840109
278.47.974004226283230.425995773716768
288.57.903542758653260.596457241346744
298.77.974004226283230.725995773716767
308.78.020978538036550.67902146196345
318.68.185388629173160.414611370826839
328.58.114927161543180.385072838456816
338.38.067952849789870.232047150210134
3488.13841431741984-0.138414317419843
358.28.20887578504982-0.00887578504981967
368.18.20887578504982-0.108875785049819
378.18.30282440855645-0.202824408556454
3888.30282440855645-0.302824408556454
397.98.23236294092648-0.332362940926477
407.98.20887578504982-0.308875785049819
4188.18538862917316-0.185388629173160
4288.1619014732965-0.161901473296502
437.98.1619014732965-0.261901473296501
4488.1619014732965-0.161901473296502
457.78.2793372526798-0.579337252679795
467.28.2793372526798-1.07933725267979
477.58.25585009680314-0.755850096803136
487.38.32631156443311-1.02631156443311
4978.23236294092648-1.23236294092648
5078.06795284978987-1.06795284978987
5177.90354275865326-0.903542758653256
527.27.85656844689994-0.656568446899939
537.37.76261982339330-0.462619823393304
547.17.73913266751665-0.639132667516646
556.87.55123542050338-0.751235420503376
566.47.59820973225669-1.19820973225669
576.17.3633381734901-1.26333817349011
586.57.22241523823015-0.722415238230155
597.77.19892808235350.501071917646504
607.97.316363861736790.583636138263211
617.57.292876705860130.207123294139869


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.03947393953419620.07894787906839250.960526060465804
60.01082727338402160.02165454676804320.989172726615978
70.01746337229956550.0349267445991310.982536627700434
80.1211956605164830.2423913210329670.878804339483517
90.09457883247093130.1891576649418630.905421167529069
100.06294382242754620.1258876448550920.937056177572454
110.2251390741248680.4502781482497370.774860925875132
120.4928458178188710.9856916356377420.507154182181129
130.6386172619736730.7227654760526550.361382738026327
140.6427910550900130.7144178898199750.357208944909987
150.5599081221431910.8801837557136190.440091877856809
160.4773905565278110.9547811130556230.522609443472189
170.4117412048260390.8234824096520780.588258795173961
180.3729302845898570.7458605691797140.627069715410143
190.3343264473289950.6686528946579910.665673552671005
200.2725559818283130.5451119636566260.727444018171687
210.219356634165160.438713268330320.78064336583484
220.1776900554757810.3553801109515630.822309944524219
230.1751527892793850.3503055785587690.824847210720615
240.1908826506200150.3817653012400310.809117349379985
250.2155185187041490.4310370374082970.784481481295851
260.1960041803390660.3920083606781330.803995819660934
270.1738569483376220.3477138966752430.826143051662378
280.1743437457559770.3486874915119540.825656254244023
290.2116124173321060.4232248346642110.788387582667894
300.2628850448951880.5257700897903760.737114955104812
310.2798431567738460.5596863135476920.720156843226154
320.3027468283843830.6054936567687670.697253171615617
330.3093197824151040.6186395648302080.690680217584896
340.2926508287461430.5853016574922860.707349171253857
350.2796484482150310.5592968964300620.720351551784969
360.2635816959032480.5271633918064950.736418304096752
370.2419743655173460.4839487310346920.758025634482654
380.2185103653766410.4370207307532820.781489634623359
390.2001950217996930.4003900435993870.799804978200307
400.1852864535555320.3705729071110640.814713546444468
410.1834284679170800.3668569358341600.81657153208292
420.1939672721844590.3879345443689180.806032727815541
430.2046614042212850.4093228084425710.795338595778715
440.2548662447352410.5097324894704820.745133755264759
450.2647024021201510.5294048042403020.735297597879849
460.2738513152726990.5477026305453990.7261486847273
470.2669327868570200.5338655737140410.73306721314298
480.2484626270228870.4969252540457740.751537372977113
490.2477821121163580.4955642242327160.752217887883642
500.2573751737271760.5147503474543520.742624826272824
510.267907826437950.53581565287590.73209217356205
520.2498463435152690.4996926870305380.750153656484731
530.2459133815436040.4918267630872080.754086618456396
540.2614055894907010.5228111789814020.738594410509299
550.2068181527270430.4136363054540850.793181847272957
560.1456853956848590.2913707913697190.85431460431514


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0384615384615385OK
10% type I error level30.0576923076923077OK