Multiple Linear Regression - Estimated Regression Equation
Dividends[t] = + 85911.967916227 + 0.214355753676764GrDiv[t] + 0.000555103619047705TrDiv[t] + 0.000221434145803542Wealth[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)85911.96791622712213.6170627.034100
GrDiv0.2143557536767640.1521421.40890.1657330.082867
TrDiv0.0005551036190477050.0003391.63830.1083260.054163
Wealth0.0002214341458035420.0114380.01940.984640.49232


Multiple Linear Regression - Regression Statistics
Multiple R0.448155152938841
R-squared0.200843041105636
Adjusted R-squared0.147565910512678
F-TEST (value)3.76977961970392
F-TEST (DF numerator)3
F-TEST (DF denominator)45
p-value0.0169568030770108
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation62605.547849673
Sum Squared Residuals176375457970.096


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1213118260871.373948601-47753.3739486007
281767118421.936185145-36654.9361851446
3153198158609.222386787-5411.2223867872
4-2600777154.744172148-103161.744172148
5126942134520.941676952-7578.94167695209
6157214133619.94811339723594.0518866032
7129352120752.3235069118599.67649308863
8234817178906.48095361655910.5190463842
960448114238.260327425-53790.2603274251
104781899374.9805676095-51556.9805676095
11245546101857.020761397143688.979238603
124802089062.2234214506-41042.2234214506
13-171085641.277939319-87351.277939319
143264890261.4905352167-57613.4905352167
1595350132862.310885146-37512.3108851458
1615135294820.530014317856531.4699856822
17288170103523.019699692184646.980300308
18114337142453.640816500-28116.6408165005
193788499467.2959239239-61583.2959239239
20122844111447.84076698511396.1592330152
2182340109195.292003316-26855.2920033164
2279801106896.442870645-27095.4428706447
2316554895440.920812019870107.0791879802
24116384105029.05393642911354.9460635711
2513402893823.560513806740204.4394861933
266383888299.7268487551-24461.7268487551
2774996113233.543736569-38237.5437365693
283108088129.3150649772-57049.3150649772
293216886746.112706025-54578.1127060249
304985796006.4213668607-46149.4213668606
3187161106102.683775075-18941.6837750748
32106113113799.440125566-7686.44012556599
3380570105304.692952340-24734.6929523396
34102129110714.19516378-8585.19516378011
3530167089778.0053895369211891.994610463
3610231394798.77447790957514.22552209048
378857790530.7460788675-1953.74607886747
38112477115233.848609522-2756.84860952227
39191778135585.84732112256192.1526788776
407980492385.4348692007-12581.4348692007
41128294144101.815276617-15807.8152766167
429644889260.57075697817187.4292430219
439381197791.9740071495-3980.97400714948
4411752092853.341361615324666.6586383847
456915988376.2796344196-19217.2796344196
46101792109162.250822523-7370.25082252267
47210568134228.49530053576339.5046994649
48136996139871.535799557-2875.53579955737
4912192091700.815815743430219.1841842566


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4760809356229190.9521618712458390.523919064377081
80.3627722108755270.7255444217510530.637227789124473
90.2532064710549860.5064129421099710.746793528945014
100.1701217999201250.3402435998402510.829878200079875
110.8388399696402170.3223200607195650.161160030359783
120.7810251143751880.4379497712496250.218974885624812
130.8316194865756750.336761026848650.168380513424325
140.7695529781269240.4608940437461530.230447021873076
150.7193176258566460.5613647482867070.280682374143354
160.7277365769035780.5445268461928440.272263423096422
170.9826478526285150.03470429474296990.0173521473714849
180.9734054659944330.05318906801113410.0265945340055671
190.9788269076364360.04234618472712820.0211730923635641
200.9645348738571880.07093025228562420.0354651261428121
210.956564260021440.08687147995711930.0434357399785597
220.9435226851314170.1129546297371660.0564773148685832
230.9374581953901880.1250836092196230.0625418046098116
240.9103923410443930.1792153179112140.0896076589556068
250.8882180846007690.2235638307984620.111781915399231
260.850316069672350.2993678606552990.149683930327650
270.8234303756102010.3531392487795970.176569624389799
280.7752137429492530.4495725141014940.224786257050747
290.8540630567517330.2918738864965340.145936943248267
300.8439773406926830.3120453186146340.156022659307317
310.838033509796340.323932980407320.16196649020366
320.7951214025560550.4097571948878890.204878597443945
330.8492220698015280.3015558603969430.150777930198472
340.8311012494171280.3377975011657430.168898750582872
350.999650883257250.0006982334855011630.000349116742750581
360.9989673865818030.002065226836395010.00103261341819751
370.9973273906254180.005345218749163640.00267260937458182
380.9988670859018660.002265828196267420.00113291409813371
390.996467597740040.007064804519918780.00353240225995939
400.9902860386694450.01942792266110940.0097139613305547
410.9859743102840290.02805137943194250.0140256897159713
420.9528198633385290.09436027332294210.0471801366614711


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.138888888888889NOK
5% type I error level90.25NOK
10% type I error level130.361111111111111NOK