Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 1.2035843418843 + 0.823909896346055X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.20358434188430.02667345.124300
X0.8239098963460550.04090420.142400


Multiple Linear Regression - Regression Statistics
Multiple R0.934366697063404
R-squared0.873041124581175
Adjusted R-squared0.870889279235094
F-TEST (value)405.717411881327
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0376961676966682
Sum Squared Residuals0.0838390624819047


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.581.65673478487464-0.0767347848746352
21.591.65673478487463-0.0667347848746309
31.61.65673478487463-0.0567347848746306
41.61.65673478487463-0.0567347848746306
51.61.65673478487463-0.0567347848746306
61.61.66497388383809-0.0649738838380912
71.611.66497388383809-0.0549738838380912
81.611.66497388383809-0.0549738838380912
91.621.66497388383809-0.0449738838380911
101.631.66497388383809-0.0349738838380914
111.631.65673478487463-0.0267347848746308
121.631.66497388383809-0.0349738838380914
131.631.65673478487463-0.0267347848746308
141.631.65673478487463-0.0267347848746308
151.641.66497388383809-0.0249738838380913
161.641.65673478487463-0.0167347848746308
171.641.65673478487463-0.0167347848746308
181.651.65673478487463-0.00673478487463078
191.651.65673478487463-0.00673478487463078
201.651.640256586947710.00974341305229031
211.651.640256586947710.00974341305229031
221.651.640256586947710.00974341305229031
231.661.640256586947710.0197434130522903
241.671.648495685911170.0215043140888298
251.681.648495685911170.0315043140888298
261.681.648495685911170.0315043140888298
271.681.656734784874630.0232652151253692
281.681.656734784874630.0232652151253692
291.691.648495685911170.0415043140888298
301.71.656734784874630.0432652151253693
311.71.664973883838090.0350261161619087
321.711.681452081765010.0285479182349877
331.731.689691180728470.0403088192715272
341.731.697930279691930.0320697203080666
351.731.697930279691930.0320697203080666
361.741.697930279691930.0420697203080666
371.741.689691180728470.0503088192715272
381.741.697930279691930.0420697203080666
391.751.697930279691930.0520697203080666
401.781.714408477618850.0655915223811455
411.821.739125774509240.080874225490764
421.831.763843071399620.0661569286003823
431.841.805038566216920.0349614337830796
441.851.846234061034220.00376593896577684
451.861.846234061034220.0137659389657768
461.861.87919045688807-0.0191904568880653
471.871.87919045688807-0.0091904568880653
481.871.87095135792460-0.000951357924604825
491.871.88742955585153-0.0174295558515258
501.871.90390775377845-0.033907753778447
511.871.91214685274191-0.0421468527419075
521.871.90390775377845-0.033907753778447
531.871.90390775377845-0.033907753778447
541.881.879190456888070.000809543111934496
551.881.862712258961140.0172877410388555
561.871.87095135792460-0.000951357924604825
571.871.862712258961140.00728774103885575
581.871.862712258961140.00728774103885575
591.871.862712258961140.00728774103885575
601.871.862712258961140.00728774103885575
611.871.854473159997680.0155268400023163


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.03730985775627830.07461971551255650.962690142243722
60.01096670627015860.02193341254031720.989033293729841
70.004364618411125890.008729236822251770.995635381588874
80.001544711778858390.003089423557716780.998455288221142
90.001259359631697590.002518719263395180.998740640368302
100.002430070651990960.004860141303981920.99756992934801
110.02158866393761870.04317732787523730.978411336062381
120.02091848109603500.04183696219206990.979081518903965
130.04524080456433610.09048160912867230.954759195435664
140.07059797847369730.1411959569473950.929402021526303
150.09763782437462220.1952756487492440.902362175625378
160.1783949791617770.3567899583235530.821605020838223
170.271448723402340.542897446804680.72855127659766
180.4188652311421820.8377304622843640.581134768857818
190.5578846163710580.8842307672578840.442115383628942
200.580891526550730.838216946898540.41910847344927
210.5843405397195590.8313189205608810.415659460280441
220.600199653606730.799600692786540.39980034639327
230.6069949690078610.7860100619842790.393005030992139
240.7001403297251250.5997193405497510.299859670274875
250.7897751795762040.4204496408475930.210224820423796
260.8441237318950510.3117525362098980.155876268104949
270.932347464722150.1353050705557010.0676525352778506
280.973306167165850.0533876656683010.0266938328341505
290.9810255431553360.03794891368932720.0189744568446636
300.9931556471061220.01368870578775650.00684435289387826
310.9986115263776960.002776947244608230.00138847362230411
320.999863721145510.0002725577089795290.000136278854489765
330.9999550679761088.9864047784517e-054.49320238922585e-05
340.999974455179495.10896410206127e-052.55448205103063e-05
350.9999865813922862.68372154272965e-051.34186077136483e-05
360.9999896396252382.07207495246542e-051.03603747623271e-05
370.9999929140495171.41719009667598e-057.08595048337989e-06
380.9999989898936542.02021269216572e-061.01010634608286e-06
390.9999999816532163.66935686114807e-081.83467843057403e-08
400.9999999996407547.18490896025335e-103.59245448012667e-10
410.9999999987879592.42408250501001e-091.21204125250500e-09
420.9999999969770526.04589568283019e-093.02294784141510e-09
430.9999999992259471.5481066279839e-097.7405331399195e-10
440.9999999999674466.51081611684099e-113.25540805842050e-11
450.9999999999761194.77624147245039e-112.38812073622519e-11
460.9999999999955848.831264032374e-124.415632016187e-12
470.9999999999586548.26929746931182e-114.13464873465591e-11
480.999999999600357.99298770669757e-103.99649385334879e-10
490.9999999962915067.41698701143813e-093.70849350571907e-09
500.9999999673930596.52138825249516e-083.26069412624758e-08
510.999999723010375.53979261390577e-072.76989630695289e-07
520.9999977630634974.47387300538111e-062.23693650269056e-06
530.9999931150920831.37698158349266e-056.88490791746328e-06
540.999962474986947.50500261204738e-053.75250130602369e-05
5518.27832263769462e-564.13916131884731e-56
56100


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level300.576923076923077NOK
5% type I error level350.673076923076923NOK
10% type I error level380.730769230769231NOK