Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 16.3381031035382 -0.0223985047378945X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)16.33810310353822.6259546.221800
X-0.02239850473789450.203793-0.10990.9128620.456431


Multiple Linear Regression - Regression Statistics
Multiple R0.0144301357461699
R-squared0.000208228817652892
Adjusted R-squared-0.0170295603406634
F-TEST (value)0.0120797867835872
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.91286168172439
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.77484659466084
Sum Squared Residuals5541.76230505086


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112.615.9349300182561-3.33493001825614
215.715.9797270277319-0.27972702773189
313.215.9125315135182-2.71253151351821
420.315.93493001825614.36506998174390
512.815.8229374945666-3.02293749456663
6815.8901330087803-7.89013300878032
70.915.8901330087803-14.9901330087803
83.616.0021255324698-12.4021255324698
914.115.957328522994-1.857328522994
1021.715.97972702773195.7202729722681
1124.516.00212553246988.49787446753021
1218.916.11411805615932.78588194384074
1313.916.0469225419456-2.14692254194558
141116.1141180561593-5.11411805615926
155.815.9125315135182-10.1125315135182
1615.515.8677345040424-0.367734504042422
1722.415.9573285229946.442671477006
1831.715.979727027731915.7202729722681
1930.315.95732852299414.342671477006
2031.416.024524037207715.3754759627923
2120.215.93493001825614.26506998174389
2219.715.9573285229943.742671477006
2310.816.0245240372077-5.22452403720768
2413.216.0021255324698-2.80212553246979
2515.115.9797270277319-0.879727027731895
2615.616.0917195514214-0.491719551421368
2715.516.0021255324698-0.502125532469789
2812.716.0469225419456-3.34692254194558
2910.915.957328522994-5.057328522994
301015.9797270277319-5.9797270277319
319.116.1365165608972-7.03651656089716
3210.315.957328522994-5.657328522994
3316.916.00212553246980.897874467530209
342216.06932104668355.93067895331653
3527.616.069321046683511.5306789533165
3628.916.069321046683512.8306789533165
373116.069321046683514.9306789533165
3832.916.248509084586616.6514909154134
3938.116.181313570372921.9186864296271
4028.816.248509084586612.5514909154134
412916.270907589324512.7290924106755
4221.816.27090758932455.52909241067548
4328.816.338103103538212.4618968964618
4425.616.22611057984879.37388942015127
4528.216.270907589324511.9290924106755
4620.216.24850908458663.95149091541337
4717.916.27090758932451.62909241067547
4816.316.11411805615930.185881943840738
4913.216.2485090845866-3.04850908458663
508.116.3157045988003-8.21570459880031
514.516.3157045988003-11.8157045988003
52-0.116.1589150656350-16.2589150656351
53016.2261105798487-16.2261105798487
542.316.2485090845866-13.9485090845866
552.816.3381031035382-13.5381031035382
562.916.2933060940624-13.3933060940624
570.116.1813135703729-16.0813135703729
583.516.2037120751108-12.7037120751108
598.616.1365165608972-7.53651656089716
6013.816.1141180561593-2.31411805615926


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.04799692436287980.09599384872575970.95200307563712
60.04258295291053710.08516590582107420.957417047089463
70.1361657405848320.2723314811696650.863834259415168
80.1791095845715820.3582191691431640.820890415428418
90.1118957212873030.2237914425746060.888104278712697
100.1205692956256760.2411385912513520.879430704374324
110.1269914419587390.2539828839174780.873008558041261
120.07957118528481760.1591423705696350.920428814715182
130.05073908523573710.1014781704714740.949260914764263
140.04231795865928310.08463591731856630.957682041340717
150.03727811516765960.07455623033531920.96272188483234
160.02520873202136320.05041746404272650.974791267978637
170.02575227481877630.05150454963755270.974247725181224
180.0869772465411680.1739544930823360.913022753458832
190.1529645135201190.3059290270402380.847035486479881
200.2184772469018370.4369544938036750.781522753098163
210.1733254123883860.3466508247767720.826674587611614
220.1311194013365480.2622388026730970.868880598663452
230.1117737116346450.2235474232692910.888226288365355
240.08268797778590960.1653759555718190.91731202221409
250.05662293983693350.1132458796738670.943377060163066
260.03887916284745260.07775832569490520.961120837152547
270.02506010489827520.05012020979655040.974939895101725
280.01745243518667970.03490487037335950.98254756481332
290.01242384288553490.02484768577106980.987576157114465
300.00966396730653420.01932793461306840.990336032693466
310.008838319732269550.01767663946453910.99116168026773
320.007204386116314190.01440877223262840.992795613883686
330.004438369472337360.008876738944674730.995561630527663
340.00285835164661270.00571670329322540.997141648353387
350.002904950342775390.005809900685550780.997095049657225
360.003417267158439910.006834534316879820.99658273284156
370.006113638620899390.01222727724179880.9938863613791
380.009259273128189020.01851854625637800.99074072687181
390.04525211095466970.09050422190933940.95474788904533
400.05588564226205790.1117712845241160.944114357737942
410.07639569399431170.1527913879886230.923604306005688
420.07661202170544940.1532240434108990.92338797829455
430.1337660365921750.267532073184350.866233963407825
440.2127485383003100.4254970766006190.78725146169969
450.5320595779225750.935880844154850.467940422077425
460.7064370719557350.587125856088530.293562928044265
470.8693231399412920.2613537201174150.130676860058708
480.9075457535642050.184908492871590.092454246435795
490.9564827957433480.08703440851330330.0435172042566517
500.9685484272220660.06290314555586830.0314515727779342
510.963316651774520.07336669645095910.0366833482254796
520.9733933005728180.05321339885436360.0266066994271818
530.9673012390189850.06539752196202930.0326987609810146
540.930295520246890.1394089595062210.0697044797531104
550.8744538945066650.2510922109866700.125546105493335


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0784313725490196NOK
5% type I error level110.215686274509804NOK
10% type I error level250.490196078431373NOK