Multiple Linear Regression - Estimated Regression Equation
TWIB[t] = + 8.74315783324895 -0.362640679154173GI[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.743157833248950.1959244.626200
GI-0.3626406791541730.077072-4.70521.6e-058e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.525604291373647
R-squared0.276259871110393
Adjusted R-squared0.26378159302609
F-TEST (value)22.1392622639097
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.61549115280657e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.637776285338418
Sum Squared Residuals23.5919982281241


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.98.162932746602310.737067253397693
28.88.271724950348530.528275049651468
38.38.34425308617937-0.0442530861793669
47.58.16293274660228-0.662932746602281
57.28.05414054285603-0.85414054285603
67.48.16293274660228-0.762932746602281
78.88.126668678686860.673331321313136
89.38.162932746602281.13706725339772
99.38.235460882433121.06453911756688
108.77.98161240702520.718387592974804
118.28.054140542856030.145859457143970
128.38.126668678686860.173331321313136
138.58.090404610771450.409595389228553
148.68.017876474940610.582123525059387
158.57.836556135363530.663443864636474
168.27.98161240702520.218387592974804
178.17.98161240702520.118387592974804
187.97.90908427119436-0.0090842711943604
198.67.872820203278940.727179796721056
208.77.872820203278940.827179796721056
218.77.909084271194360.790915728805639
228.58.126668678686860.373331321313136
238.48.017876474940610.382123525059388
248.57.909084271194360.590915728805639
258.78.017876474940610.682123525059387
268.78.017876474940610.682123525059387
278.68.271724950348530.328275049651466
288.58.126668678686860.373331321313136
298.38.054140542856030.245859457143971
3088.12666867868686-0.126668678686864
318.28.162932746602280.0370672533977179
328.18.12666867868686-0.0266686786868646
338.18.090404610771450.00959538922855273
3488.05414054285603-0.0541405428560297
357.98.05414054285603-0.154140542856029
367.98.05414054285603-0.154140542856029
3788.01787647494061-0.0178764749406124
3887.98161240702520.0183875929748048
397.98.05414054285603-0.154140542856029
4088.05414054285603-0.0541405428560297
417.78.27172495034853-0.571724950348533
427.28.27172495034853-1.07172495034853
437.58.23546088243312-0.735460882433116
447.38.30798901826395-1.00798901826395
4578.27172495034853-1.27172495034853
4678.09040461077145-1.09040461077145
4777.94534833910978-0.945348339109778
487.27.80029206744811-0.600292067448109
497.37.72776393161727-0.427763931617275
507.17.61897172787102-0.518971727871023
516.87.32885918454769-0.528859184547685
526.47.40138732037852-1.00138732037852
536.17.07501070913976-0.975010709139765
546.56.89369036956268-0.393690369562678
557.76.857426301647260.84257369835274
567.96.966218505393510.933781494606488
577.56.893690369562680.606309630437322
586.97.00248257330893-0.102482573308929
596.67.32885918454769-0.728859184547685
606.97.47391545620935-0.573915456209353


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.6929324366076640.6141351267846730.307067563392336
60.6384005657619580.7231988684760840.361599434238042
70.7407400368575160.5185199262849680.259259963142484
80.8723378560349760.2553242879300480.127662143965024
90.8964633792635410.2070732414729190.103536620736459
100.9048003310569350.1903993378861290.0951996689430645
110.8552994510823320.2894010978353370.144700548917668
120.7940064630193670.4119870739612660.205993536980633
130.7348193664854550.5303612670290910.265180633514545
140.6938683884388180.6122632231223640.306131611561182
150.6550709812809990.6898580374380020.344929018719001
160.5789033520116140.8421932959767710.421096647988386
170.5024490914365240.9951018171269510.497550908563476
180.4328643577693860.8657287155387730.567135642230614
190.4204229061017120.8408458122034240.579577093898288
200.4301572409994140.8603144819988270.569842759000586
210.437046519022740.874093038045480.56295348097726
220.3880349814984370.7760699629968740.611965018501563
230.3425130231705810.6850260463411610.65748697682942
240.3264271999210610.6528543998421220.673572800078939
250.3477946682626910.6955893365253830.652205331737309
260.3853761332683750.7707522665367510.614623866731625
270.3784427634797870.7568855269595730.621557236520213
280.3825265167964480.7650530335928960.617473483203552
290.3728646804825230.7457293609650450.627135319517477
300.3494031443720790.6988062887441570.650596855627921
310.3320396631067530.6640793262135060.667960336893247
320.3162726022418690.6325452044837380.683727397758131
330.3088791643418330.6177583286836670.691120835658167
340.3031533492623210.6063066985246430.696846650737678
350.2974580103308390.5949160206616780.702541989669161
360.2945970203631540.5891940407263080.705402979636846
370.3091473182258180.6182946364516360.690852681774182
380.3410018496738950.682003699347790.658998150326105
390.3705867938087790.7411735876175570.629413206191221
400.4512693075969740.9025386151939480.548730692403026
410.4913482184652640.9826964369305280.508651781534736
420.5273678560678240.9452642878643520.472632143932176
430.537031826287970.925936347424060.46296817371203
440.5311991363570690.9376017272858620.468800863642931
450.5284271602849450.943145679430110.471572839715055
460.5355005031237510.92899899375250.46449949687625
470.5428967049069380.9142065901861240.457103295093062
480.5385408745314730.9229182509370530.461459125468527
490.5673191079418260.8653617841163490.432680892058174
500.5920979893322260.8158040213355470.407902010667773
510.5070682095124380.9858635809751230.492931790487562
520.4304672756369820.8609345512739650.569532724363017
530.5986610579855310.8026778840289380.401338942014469
540.8180661104077170.3638677791845660.181933889592283
550.6974740492500680.6050519014998650.302525950749932


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