Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 1.27666936157067 + 0.883343521385048X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.276669361570670.578522.20680.0313010.015651
X0.8833435213850480.07284612.126100


Multiple Linear Regression - Regression Statistics
Multiple R0.846836840542365
R-squared0.717132634499774
Adjusted R-squared0.712255610956667
F-TEST (value)147.043094658276
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.366819119890273
Sum Squared Residuals7.80426346959031


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.98.873423645482130.0265763545178733
28.98.785089293343590.114910706656415
38.98.608420589066580.291579410933423
48.98.166748828374050.733251171625948
598.166748828374050.833251171625948
698.343417532651060.656582467348938
798.87342364548210.126576354517910
899.1384267018976-0.138426701897606
999.1384267018976-0.138426701897606
1098.87342364548210.126576354517910
1198.608420589066580.391579410933423
129.18.608420589066580.491579410933423
1398.608420589066580.391579410933423
149.18.696754941205080.403245058794918
159.18.785089293343590.314910706656414
1698.696754941205080.303245058794919
1798.87342364548210.126576354517910
1898.785089293343590.214910706656414
1998.785089293343590.214910706656414
208.98.696754941205080.203245058794919
218.98.785089293343590.114910706656414
228.98.785089293343590.114910706656414
238.98.785089293343590.114910706656414
248.88.785089293343590.0149107066564148
258.88.785089293343590.0149107066564148
268.78.78508929334359-0.0850892933435866
278.78.78508929334359-0.0850892933435866
288.58.78508929334359-0.285089293343586
298.58.8734236454821-0.373423645482090
308.48.69675494120508-0.296754941205081
318.28.43175188478957-0.231751884789567
328.28.34341753265106-0.143417532651063
338.18.34341753265106-0.243417532651062
348.18.34341753265106-0.243417532651062
3588.34341753265106-0.343417532651062
367.98.25508318051256-0.355083180512557
377.88.16674882837405-0.366748828374052
387.78.16674882837405-0.466748828374052
397.68.25508318051256-0.655083180512558
407.58.43175188478957-0.931751884789566
417.58.34341753265106-0.843417532651062
427.57.99008012409704-0.490080124097042
437.57.72507706768153-0.225077067681528
447.57.460074011266010.0399259887339864
457.47.2834053069890.116594693010997
467.47.46007401126601-0.0600740112660132
477.37.54840836340452-0.248408363404518
487.37.63674271554302-0.336742715543024
497.37.54840836340452-0.248408363404518
507.27.37173965912751-0.171739659127509
517.27.19507095485050.00492904514950071
527.37.19507095485050.104929045149500
537.47.1067366027120.293263397288006
547.47.371739659127510.0282603408724912
557.57.72507706768153-0.225077067681528
567.67.90174577195854-0.301745771958538
577.77.72507706768153-0.0250770676815277
587.97.548408363404520.351591636595482
5987.371739659127510.628260340872491
608.27.548408363404520.651591636595481


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.002405397096952840.004810794193905690.997594602903047
60.000739147163243680.001478294326487360.999260852836756
70.0003941111524311120.0007882223048622240.999605888847569
80.0001073355173475920.0002146710346951840.999892664482652
92.06905249978744e-054.13810499957488e-050.999979309475002
103.85605238218764e-067.71210476437528e-060.999996143947618
118.49735665809041e-071.69947133161808e-060.999999150264334
122.13393674769187e-064.26787349538374e-060.999997866063252
135.17407723027196e-071.03481544605439e-060.999999482592277
146.25513369209887e-071.25102673841977e-060.999999374486631
155.10484861887215e-071.02096972377443e-060.999999489515138
161.46677267589816e-072.93354535179631e-070.999999853322732
173.56336182684978e-087.12672365369956e-080.999999964366382
189.86601137741827e-091.97320227548365e-080.99999999013399
192.92799903500900e-095.85599807001799e-090.999999997072
202.43378104015101e-094.86756208030203e-090.999999997566219
211.82779427803205e-093.65558855606411e-090.999999998172206
221.41611323111640e-092.83222646223281e-090.999999998583887
231.21951784991717e-092.43903569983434e-090.999999998780482
247.44840260963452e-091.48968052192690e-080.999999992551597
253.06341786583657e-086.12683573167314e-080.999999969365821
266.04700862125556e-071.20940172425111e-060.999999395299138
275.34097803824134e-061.06819560764827e-050.999994659021962
280.0003260317911125120.0006520635822250230.999673968208888
290.002651492537665170.005302985075330340.997348507462335
300.02266594896709350.04533189793418690.977334051032906
310.1617998531177220.3235997062354450.838200146882278
320.3638351746469560.7276703492939120.636164825353044
330.5613458236713660.8773083526572680.438654176328634
340.7017726209202330.5964547581595340.298227379079767
350.80086793326790.3982641334642010.199132066732101
360.8541204385280730.2917591229438540.145879561471927
370.8751690648275480.2496618703449030.124830935172452
380.8838331275817450.232333744836510.116166872418255
390.898292291351210.2034154172975820.101707708648791
400.9348028782142150.1303942435715690.0651971217857846
410.9463409743870850.1073180512258310.0536590256129155
420.9300806368897350.1398387262205290.0699193631102646
430.8976865694915770.2046268610168460.102313430508423
440.8577617824486880.2844764351026240.142238217551312
450.8082695339707530.3834609320584940.191730466029247
460.7425869781764770.5148260436470450.257413021823523
470.6985772033676170.6028455932647660.301422796632383
480.6785866053668770.6428267892662450.321413394633123
490.6502418995356450.699516200928710.349758100464355
500.6398444110091320.7203111779817350.360155588990868
510.6178508223136620.7642983553726760.382149177686338
520.5910669643948940.8178660712102110.408933035605106
530.6171290698108370.7657418603783270.382870930189163
540.8830258274356780.2339483451286440.116974172564322
550.87660183286280.2467963342743980.123398167137199


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level250.490196078431373NOK
5% type I error level260.509803921568627NOK
10% type I error level260.509803921568627NOK