Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 23033.5348837209 -945.299589603282X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)23033.5348837209882.98233626.086100
X-945.2995896032821658.834962-0.56990.5709750.285488


Multiple Linear Regression - Regression Statistics
Multiple R0.0746173622243007
R-squared0.00556775074531249
Adjusted R-squared-0.011577632862527
F-TEST (value)0.324737601249512
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.570975115043695
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5790.10238691632
Sum Squared Residuals1944466567.7565


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12036623033.534883721-2667.53488372098
22278223033.5348837209-251.534883720928
31916923033.5348837209-3864.53488372093
41380723033.5348837209-9226.53488372093
52974323033.53488372096709.46511627907
62559123033.53488372092557.46511627907
72909623033.53488372096062.46511627907
82648223033.53488372093448.46511627907
92240523033.5348837209-628.534883720929
102704423033.53488372094010.46511627907
111797023033.5348837209-5063.53488372093
121873023033.5348837209-4303.53488372093
131968423033.5348837209-3349.53488372093
141978523033.5348837209-3248.53488372093
151847923033.5348837209-4554.53488372093
161069823033.5348837209-12335.5348837209
173195623033.53488372098922.46511627907
182950623033.53488372096472.46511627907
193450623033.534883720911472.4651162791
202716523033.53488372094131.46511627907
212673623033.53488372093702.46511627907
222369123033.5348837209657.465116279071
231815723033.5348837209-4876.53488372093
241732823033.5348837209-5705.53488372093
251820523033.5348837209-4828.53488372093
262099523033.5348837209-2038.53488372093
271738223033.5348837209-5651.53488372093
28936723033.5348837209-13666.5348837209
293112423033.53488372098090.46511627907
302655123033.53488372093517.46511627907
313065123033.53488372097617.46511627907
322585923033.53488372092825.46511627907
332510023033.53488372092066.46511627907
342577823033.53488372092744.46511627907
352041823033.5348837209-2615.53488372093
361868823033.5348837209-4345.53488372093
372042423033.5348837209-2609.53488372093
382477623033.53488372091742.46511627907
391981423033.5348837209-3219.53488372093
401273823033.5348837209-10295.5348837209
413156623033.53488372098532.46511627907
423011123033.53488372097077.46511627907
433001923033.53488372096985.46511627907
443193422088.23529411779845.76470588235
452582622088.23529411763737.76470588235
462683522088.23529411764746.76470588235
472020522088.2352941176-1883.23529411765
481778922088.2352941176-4299.23529411765
492052022088.2352941176-1568.23529411765
502251822088.2352941176429.764705882353
511557222088.2352941176-6516.23529411765
521150922088.2352941177-10579.2352941176
532544722088.23529411763358.76470588235
542409022088.23529411762001.76470588235
552778622088.23529411765697.76470588235
562619522088.23529411764106.76470588235
572051622088.2352941176-1572.23529411765
582275922088.2352941176670.764705882353
591902822088.2352941176-3060.23529411765
601697122088.2352941176-5117.23529411765


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.7262421488337820.5475157023324350.273757851166218
60.6343191047823650.7313617904352710.365680895217635
70.6485590774142630.7028818451714740.351440922585737
80.5582513760692240.8834972478615530.441748623930776
90.4369430939547230.8738861879094470.563056906045277
100.3678635014242190.7357270028484390.63213649857578
110.3545431444897190.7090862889794380.645456855510281
120.3106106890616900.6212213781233790.68938931093831
130.2490581645311570.4981163290623140.750941835468843
140.1934686660281280.3869373320562570.806531333971872
150.162533988666940.325067977333880.83746601133306
160.3977398701576220.7954797403152440.602260129842378
170.5537753598944610.8924492802110780.446224640105539
180.5829375616410720.8341248767178560.417062438358928
190.7781472546679750.443705490664050.221852745332025
200.7434518709619940.5130962580760130.256548129038006
210.7000772818616260.5998454362767490.299922718138374
220.6281385861177170.7437228277645670.371861413882283
230.6036576150265320.7926847699469350.396342384973468
240.5966874324421340.8066251351157310.403312567557866
250.5701656922720630.8596686154558740.429834307727937
260.502505427584090.994989144831820.49749457241591
270.4973887085629980.9947774171259970.502611291437002
280.8131208496043660.3737583007912690.186879150395634
290.8475433190314720.3049133619370550.152456680968528
300.8130739869904040.3738520260191910.186926013009596
310.8385952549764730.3228094900470550.161404745023527
320.7973573211269850.405285357746030.202642678873015
330.7446580489958030.5106839020083940.255341951004197
340.691959162470080.6160816750598410.308040837529921
350.6365844452018290.7268311095963420.363415554798171
360.6116391609395180.7767216781209630.388360839060482
370.5625330086725850.8749339826548310.437466991327415
380.4863786912558290.9727573825116580.513621308744171
390.460047613363350.92009522672670.53995238663665
400.8312563933245740.3374872133508520.168743606675426
410.8125576107400760.3748847785198470.187442389259924
420.7744646274780270.4510707450439470.225535372521973
430.7278943516870280.5442112966259430.272105648312972
440.8385990559858990.3228018880282030.161400944014101
450.8197399041548950.360520191690210.180260095845105
460.821527800250670.3569443994986590.178472199749330
470.7676147873136920.4647704253726170.232385212686308
480.7292384881957040.5415230236085910.270761511804296
490.6400975681988590.7198048636022820.359902431801141
500.5387046949916760.9225906100166480.461295305008324
510.5424848910898850.9150302178202310.457515108910115
520.843927078317570.3121458433648580.156072921682429
530.7749163822217550.4501672355564900.225083617778245
540.6543295453139740.6913409093720510.345670454686026
550.7032303341754680.5935393316490630.296769665824532


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