Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 3.099991115504 + 0.544364175491007X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.0999911155040.3802368.152800
X0.5443641754910070.04323512.590700


Multiple Linear Regression - Regression Statistics
Multiple R0.853678892468338
R-squared0.728767651445969
Adjusted R-squared0.7241704929959
F-TEST (value)158.525676102188
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.332225836176954
Sum Squared Residuals6.51206636718511


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.99.14243346345418-0.242433463454176
28.99.03356062835598-0.133560628355982
38.68.543632870414070.0563671295859263
48.38.108141530021270.191858469978734
58.38.108141530021270.191858469978734
68.38.271450782668570.0285492173314311
78.48.325887200217670.0741127997823302
88.58.271450782668570.228549217331430
98.48.053705112472170.346294887527834
108.67.944832277373970.655167722626034
118.57.999268694923070.500731305076934
128.58.59806928796317-0.0980692879631738
138.48.70694212306138-0.306942123061375
148.58.65250570551227-0.152505705512274
158.58.325887200217670.17411279978233
168.58.108141530021270.391858469978733
178.58.162577947570370.337422052429631
188.58.217014365119470.282985634880531
198.58.217014365119470.282985634880531
208.58.108141530021270.391858469978733
218.57.999268694923070.500731305076934
228.67.999268694923070.600731305076934
238.47.999268694923070.400731305076934
248.18.43476003531587-0.334760035315873
2588.54363287041407-0.543632870414073
2688.43476003531587-0.434760035315872
2788.16257794757037-0.162577947570369
2887.999268694923070.000731305076934089
297.97.99926869492307-0.0992686949230656
307.88.05370511247217-0.253705112472167
317.88.05370511247217-0.253705112472167
327.98.05370511247217-0.153705112472166
338.18.10814153002127-0.00814153002126736
3487.890395859824860.109604140175135
357.67.61821377207936-0.0182137720793615
367.37.67265018962846-0.372650189628462
3777.50934093698116-0.509340936981159
386.87.29159526678476-0.491595266784757
3977.40046810188296-0.400468101882958
407.17.40046810188296-0.300468101882958
417.27.45490451943206-0.254904519432058
427.17.40046810188296-0.300468101882958
436.97.23715884923566-0.337158849235655
446.76.96497676149015-0.264976761490151
456.76.80166750884285-0.101667508842850
466.66.63835825619555-0.0383582561955479
476.96.856103926391950.0438960736080499
487.37.56377735453026-0.26377735453026
497.57.83595944227576-0.335959442275763
507.37.61821377207936-0.318213772079361
517.17.40046810188296-0.300468101882958
526.97.18272243168655-0.282722431686554
537.17.34603168433386-0.246031684333857
547.57.61821377207936-0.118213772079361
557.77.672650189628460.0273498103715385
567.87.563777354530260.23622264546974
577.87.291595266784760.508404733215243
587.77.019413179039250.680586820960748
597.87.073849596588350.726150403411646
607.87.509340936981160.290659063018841
617.97.727086607177560.172913392822438


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.001135817223887120.002271634447774230.998864182776113
60.001273989654712560.002547979309425130.998726010345288
70.0001786455370326690.0003572910740653380.999821354462967
80.0001667139097225440.0003334278194450890.999833286090277
90.0001339932308287060.0002679864616574120.999866006769171
100.004297355442830690.008594710885661370.99570264455717
110.003131024149380090.006262048298760190.99686897585062
120.001629962693938470.003259925387876930.998370037306062
130.002281983351502690.004563966703005390.997718016648497
140.001112092637877960.002224185275755920.998887907362122
150.0004456741533592180.0008913483067184360.99955432584664
160.0002475535785020420.0004951071570040830.999752446421498
170.000122019136364380.000244038272728760.999877980863636
185.48303340620725e-050.0001096606681241450.999945169665938
192.50119703961384e-055.00239407922768e-050.999974988029604
201.53430066422522e-053.06860132845045e-050.999984656993358
211.48981532684439e-052.97963065368878e-050.999985101846732
224.80286206037526e-059.60572412075051e-050.999951971379396
234.57025665403578e-059.14051330807156e-050.99995429743346
240.0007406300708690170.001481260141738030.999259369929131
250.009694207237937270.01938841447587450.990305792762063
260.02943285757229870.05886571514459750.97056714242770
270.04381735365740260.08763470731480530.956182646342597
280.05185693840456060.1037138768091210.94814306159544
290.06881955529534340.1376391105906870.931180444704657
300.1053248303181290.2106496606362580.894675169681871
310.1343218005832890.2686436011665780.86567819941671
320.1302854050948170.2605708101896330.869714594905183
330.1072336035133260.2144672070266530.892766396486674
340.09670086755209620.1934017351041920.903299132447904
350.1018488108219310.2036976216438620.898151189178069
360.1675958057732680.3351916115465350.832404194226732
370.3075164038109070.6150328076218140.692483596189093
380.4321878641684150.864375728336830.567812135831585
390.4617804051952240.9235608103904480.538219594804776
400.4369791642003970.8739583284007930.563020835799603
410.3921224239426910.7842448478853820.607877576057309
420.3646687493813150.729337498762630.635331250618685
430.361526443017610.723052886035220.63847355698239
440.3540547432317330.7081094864634670.645945256768267
450.3231674238878780.6463348477757570.676832576112122
460.3434091395049880.6868182790099770.656590860495012
470.3663131340057840.7326262680115670.633686865994217
480.3230586246815010.6461172493630020.676941375318499
490.2625942810052420.5251885620104850.737405718994758
500.2437750717191860.4875501434383730.756224928280814
510.3047126750215970.6094253500431930.695287324978403
520.6622954220043470.6754091559913050.337704577995653
530.981503433315850.03699313336830090.0184965666841504
540.9980918695047880.003816260990424670.00190813049521233
550.9991221911167190.001755617766561740.000877808883280871
560.9956666962244160.008666607551168810.00433330377558441


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level230.442307692307692NOK
5% type I error level250.480769230769231NOK
10% type I error level270.519230769230769NOK