Multiple Linear Regression - Estimated Regression Equation
ICONS[t] = + 52.0164275074887 -0.0414585275913714WLH[t] -1.08025189735549M1[t] -5.10599152463905M2[t] -6.0625749461278M3[t] -2.88119657649014M4[t] -1.90810991237075M5[t] -2.60035782483614M6[t] -2.88331496422184M7[t] -4.20872969876033M8[t] -3.99118730436532M9[t] -4.21810064024594M10[t] -0.213546124149344M11[t] -0.28187790341837t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)52.016427507488723.8921952.17710.0345270.017263
WLH-0.04145852759137140.036427-1.13810.260830.130415
M1-1.080251897355494.120547-0.26220.7943420.397171
M2-5.105991524639054.502715-1.1340.2625540.131277
M3-6.06257494612784.675074-1.29680.2010350.100518
M4-2.881196576490144.613657-0.62450.5353240.267662
M5-1.908109912370754.559214-0.41850.6774750.338738
M6-2.600357824836144.589188-0.56660.5736640.286832
M7-2.883314964221844.68833-0.6150.5415220.270761
M8-4.208729698760334.738206-0.88830.3789280.189464
M9-3.991187304365324.898516-0.81480.4193110.209655
M10-4.218100640245944.830029-0.87330.3869360.193468
M11-0.2135461241493444.274209-0.050.9603650.480182
t-0.281877903418370.07738-3.64280.0006710.000336


Multiple Linear Regression - Regression Statistics
Multiple R0.55791164972303
R-squared0.311265408896673
Adjusted R-squared0.120764351782986
F-TEST (value)1.63393008738485
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value0.109387943459274
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.73486969870926
Sum Squared Residuals2131.84808335383


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11925.2402202932042-6.24022029320423
21821.015519817685-3.015519817685
31920.4818534618312-1.48185346183120
41923.3398954004591-4.33989540045913
52224.1969382715256-2.19693827152562
62323.3057295108246-0.305729510824605
72022.9481871059774-2.9481871059774
81421.7969382715256-7.79693827152563
91421.9813539280505-7.98135392805049
101421.3896456335688-7.38964563356877
111522.9564788114957-7.95647881149567
121122.5564788114957-11.5564788114957
131721.2358075383132-4.23580753831319
141617.5915264490732-1.5915264490732
152017.05786009321942.94213990678061
162419.87444350425594.12555649574406
172320.73148637532242.26851362467756
182019.88173614221280.118263857787203
192119.73148637532241.26851362467756
201918.37294490291380.62705509708619
212318.35006792148184.64993207851818
222317.84127668218285.15872331781716
232319.61540249806663.38459750193340
242319.29831955324933.70168044675065
252718.18494091802378.81505908197628
262615.203996270245710.7960037297543
271714.87762255234872.12237744765128
282418.15024976689045.84975023310964
292618.67562441722597.32437558277411
302418.19900093243865.80099906756142
312718.33896085868788.66103914131218
322716.980419386279210.0195806137208
332617.53796179112648.4620382088736
342417.52667288292396.47332711707611
352318.92767195048534.0723280495147
362318.44475489530264.55524510469744
372418.03617122913035.96382877086975
381714.35043161229892.64956838770111
392113.81676525644517.18323474355492
401916.55043161229892.44956838770112
412217.11726479022584.88273520977421
422216.51626572266445.48373427733563
431816.57330859373091.42669140626912
441615.09039153854810.90960846145187
451415.8966851089436-1.89668510894357
461215.0147671213222-3.01476712132224
471416.6645173544319-2.66451735443189
481616.3474344096146-0.347434409614636
49815.6486410503027-7.64864105030273
50311.8385258506972-8.83852585069725
51010.7658986361556-10.7658986361556
52513.0849797160957-8.0849797160957
53113.2786861457003-12.2786861457003
54112.0972676918596-11.0972676918596
55311.4080570662815-8.40805706628146
5669.75930590073324-3.75930590073324
57710.2339312503977-3.2339312503977
5889.22763768000226-1.22763768000226
591410.83592938552053.16407061447946
601410.35301233033783.64698766966221
61139.654218971025893.34578102897411


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.06654941162138960.1330988232427790.93345058837861
180.04673178465334820.09346356930669630.953268215346652
190.01714654178434410.03429308356868820.982853458215656
200.01847515182307950.03695030364615900.98152484817692
210.05971161605591350.1194232321118270.940288383944087
220.08011447231533680.1602289446306740.919885527684663
230.08634415378060370.1726883075612070.913655846219396
240.1708203596882030.3416407193764060.829179640311797
250.1456741811630360.2913483623260720.854325818836964
260.0986088166252830.1972176332505660.901391183374717
270.2561866377249120.5123732754498230.743813362275088
280.2024812580166110.4049625160332220.797518741983389
290.1451335733396230.2902671466792460.854866426660377
300.1108668096165570.2217336192331150.889133190383443
310.08337719791757930.1667543958351590.91662280208242
320.0806136201165370.1612272402330740.919386379883463
330.05344783552716420.1068956710543280.946552164472836
340.03154591474903050.0630918294980610.96845408525097
350.03172129094585340.06344258189170680.968278709054147
360.08034056418631010.1606811283726200.91965943581369
370.1545972688194260.3091945376388520.845402731180574
380.4296581936959830.8593163873919660.570341806304017
390.3632960291722090.7265920583444170.636703970827791
400.8086823998886060.3826352002227880.191317600111394
410.9213496658188760.1573006683622490.0786503341811245
420.9295911014785660.1408177970428680.0704088985214338
430.8721157768048740.2557684463902510.127884223195126
440.795878779855390.4082424402892220.204121220144611


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0714285714285714NOK
10% type I error level50.178571428571429NOK