Multiple Linear Regression - Estimated Regression Equation
ICONS[t] = -11.125036969505 + 0.0508454697869908WLH[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-11.12503696950511.878739-0.93660.3528080.176404
WLH0.05084546978699080.0212292.3950.0198120.009906


Multiple Linear Regression - Regression Statistics
Multiple R0.297672917091947
R-squared0.0886091655700294
Adjusted R-squared0.0731618632915554
F-TEST (value)5.73622267323058
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0.0198119472356164
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.91478213732619
Sum Squared Residuals2821.03850839443


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11920.0432360099203-1.04323600992026
21819.9415450703464-1.94154507034637
31919.0771720839675-0.077172083967523
41919.1280175537545-0.128017553754514
52218.92463567460653.07536432539345
62318.82294473503264.17705526496743
72018.56871738609761.43128261390239
81418.0094172184407-4.00941721844072
91417.7043443997188-3.70434439971877
101417.8060353392928-3.80603533929275
111520.4499997682163-5.44999976821627
121120.8567635265122-9.8567635265122
131720.8059180567252-3.80591805672521
141619.9923905401334-3.99239054013336
152019.12801755375450.871982446245486
162419.22970849332854.7702915066715
172319.02632661418053.97367338581947
182018.87379020481961.12620979518044
192118.36533550694972.63466449305035
201918.06026268822770.939737311772293
212318.00941721844074.99058278155928
222318.00941721844074.99058278155928
232320.39915429842932.60084570157072
242320.70422711715122.29577288284877
252720.39915429842936.60084570157072
262618.77209926524567.22790073475442
271717.6534989299318-0.65349892993178
282417.19588970184896.80411029815114
292617.39927158099688.60072841900317
302416.78912594355297.21087405644706
312715.924752957174111.0752470428259
322715.619680138452111.3803198615479
332614.856998091647311.1430019083527
342414.24685245420349.7531475457966
352317.09419876227495.90580123772512
362317.60265346014485.39734653985521
372416.4332076550447.566792344956
381715.67052560823911.32947439176086
392114.80615262186036.1938473781397
401915.00953450100833.99046549899174
412215.16207091036926.83792908963077
422214.70446168228637.29553831771369
431813.94177963548154.05822036451855
441613.78924322612052.21075677387952
451412.72148836059371.27851163940633
461213.1790975886766-1.17909758867659
471415.7213710780261-1.72137107802613
481616.0264438967481-0.0264438967480747
49815.2129163801562-7.21291638015622
50314.6027707427123-11.6027707427123
51014.3993888635644-14.3993888635644
52515.1112254405822-10.1112254405822
53115.7213710780261-14.7213710780261
54115.9755984269611-14.9755984269611
55316.1281348363221-13.1281348363221
56616.1789803061090-10.1789803061090
57715.5179891988782-8.51798919887817
58816.1281348363221-8.12813483632206
591418.7212537954586-4.72125379545859
601419.2297084933285-5.2297084933285
611318.4161809767366-5.41618097673664


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.00907992640243470.01815985280486940.990920073597565
60.004107558751779450.00821511750355890.99589244124822
70.001325323824070520.002650647648141030.99867467617593
80.01214301087445380.02428602174890760.987856989125546
90.007411441587735500.0148228831754710.992588558412264
100.003477135758613120.006954271517226250.996522864241387
110.005611325297407180.01122265059481440.994388674702593
120.01478426780340450.02956853560680900.985215732196596
130.007249668010050520.01449933602010100.99275033198995
140.003577289434225890.007154578868451780.996422710565774
150.001942521187511560.003885042375023110.998057478812489
160.002897148942667020.005794297885334030.997102851057333
170.002536084031316340.005072168062632670.997463915968684
180.001246487330115260.002492974660230520.998753512669885
190.0006363921035212240.001272784207042450.999363607896479
200.0002732484088380100.0005464968176760210.999726751591162
210.0001802116442427390.0003604232884854780.999819788355757
220.0001093033094314220.0002186066188628440.999890696690569
230.0001011365503655460.0002022731007310910.999898863449634
247.87300068297314e-050.0001574600136594630.99992126999317
250.0001752373122893270.0003504746245786550.99982476268771
260.0002337470478212280.0004674940956424560.999766252952179
270.0001230021651477850.0002460043302955700.999876997834852
289.97947764409741e-050.0001995895528819480.99990020522356
290.0001282621006394540.0002565242012789080.99987173789936
309.61357099115602e-050.0001922714198231200.999903864290088
310.0001342555725278040.0002685111450556080.999865744427472
320.0001820463543055080.0003640927086110160.999817953645694
330.0002147491310172710.0004294982620345410.999785250868983
340.0002442098797866270.0004884197595732530.999755790120213
350.0002271746548236910.0004543493096473820.999772825345176
360.0002564714894317850.000512942978863570.999743528510568
370.0004391659632184490.0008783319264368970.999560834036782
380.000648215351641380.001296430703282760.999351784648359
390.0009015784482676070.001803156896535210.999098421551732
400.001219419713842020.002438839427684030.998780580286158
410.002729393242571230.005458786485142470.997270606757429
420.009026822758179590.01805364551635920.99097317724182
430.02227946643374520.04455893286749040.977720533566255
440.05349221307104350.1069844261420870.946507786928956
450.1612850647031740.3225701294063480.838714935296826
460.4374500699572350.874900139914470.562549930042765
470.6391208348166180.7217583303667650.360879165183383
480.9438699815822560.1122600368354880.056130018417744
490.9789751181059240.04204976378815270.0210248818940763
500.9841177830607790.03176443387844230.0158822169392211
510.9836394392693970.0327211214612070.0163605607306035
520.9816427284078570.03671454318428560.0183572715921428
530.981998858981810.03600228203637910.0180011410181896
540.992841607087430.01431678582514060.00715839291257028
550.9988800840939040.002239831812192920.00111991590609646
560.999625752906760.0007484941864821880.000374247093241094


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level330.634615384615385NOK
5% type I error level470.903846153846154NOK
10% type I error level470.903846153846154NOK