Multiple Linear Regression - Estimated Regression Equation
Dividends[t] = + 89641.0785116676 -47111.1144754121Group[t] + 0.45144769884632Costs[t] -1.88122427276785GrCosts[t] -196.042714705314Trades[t] + 3.05579768268300GrTrades[t] + 0.61601859145794GrDiv[t] + 0.00188101486872750TrDiv[t] + 0.0167804714914530`Wealth `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)89641.07851166767611.48603811.777100
Group-47111.114475412118504.764751-2.54590.0125810.006291
Costs0.451447698846320.4931540.91540.3623860.181193
GrCosts-1.881224272767850.773845-2.4310.0170170.008508
Trades-196.04271470531455.429935-3.53680.000640.00032
GrTrades3.0557976826830065.598250.04660.9629470.481474
GrDiv0.616018591457940.1424394.32483.9e-052e-05
TrDiv0.001881014868727500.0004084.61191.3e-056e-06
`Wealth `0.01678047149145300.0088681.89220.0616390.03082


Multiple Linear Regression - Regression Statistics
Multiple R0.750113577231125
R-squared0.562670378746475
Adjusted R-squared0.524223818636275
F-TEST (value)14.6351293102344
F-TEST (DF numerator)8
F-TEST (DF denominator)91
p-value1.51767487466259e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36865.9122929752
Sum Squared Residuals123677689516.594


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1213118271556.7621898-58438.7621897998
281767110759.229434398-28992.2294343985
3153198124257.38820593628940.6117940639
4-26007-36490.245199074810483.2451990748
512694281193.598343056645748.4016569434
6157214124313.42780719732900.5721928035
7129352153806.745502125-24454.7455021254
8234817249288.652738246-14471.6527382465
9604485337.962484791755110.0375152083
104781861709.7612852289-13891.7612852289
11245546152345.22371935093200.7762806502
1248020100263.016672208-52243.0166722077
13-1710-6715.769429438095005.76942943809
143264866436.5254617733-33788.5254617733
159535075019.792239509820330.2077604902
16151352121038.43364392930313.5663560712
17288170143829.841252964144340.158747036
18114337107287.6720950487049.32790495192
1937884-1453.9495010299639337.9495010300
20122844118373.6302859544470.36971404615
218234084858.4813124563-2518.48131245631
227980168107.204108223411693.7958917766
23165548119209.60266050546338.3973394953
24116384108135.9535478518248.0464521491
25134028106305.81403698927722.1859630114
2663838101002.479943801-37164.4799438006
277499647448.105602459427547.8943975406
283108076381.7534582761-45301.7534582761
2932168101638.627068254-69470.6270682537
304985767075.4476553549-17218.4476553549
3187161102150.877740806-14989.8777408057
32106113101770.6963569374342.3036430629
338057092559.4326346243-11989.4326346243
34102129108970.258094779-6841.25809477869
35301670112603.176138140189066.823861860
36102313103806.243141918-1493.24314191827
3788577102565.069179618-13988.0691796185
38112477117397.576816457-4920.57681645669
39191778182292.1389743819485.86102561881
407980488610.29123114-8806.29123114004
41128294135921.655576866-7627.65557686611
4296448101212.636821359-4764.63682135877
439381195677.0735991959-1866.07359919588
44117520102311.36140142315208.6385985768
456915994014.8973874322-24855.8973874322
46101792105619.004381-3827.00438099995
47210568186400.77653386124167.2234661394
48136996145124.613196440-8128.6131964396
49121920102521.87224321019398.1277567903
507640392501.6281403057-16098.6281403057
51108094115179.377526877-7085.37752687652
52134759137275.533266458-2516.53326645753
53188873175869.10574629613003.8942537043
54146216153398.235463262-7182.23546326161
55156608153921.4001171652686.59988283512
566134889997.1829398866-28649.1829398866
575035098973.520945051-48623.5209450511
588772097667.0562584108-9947.05625841083
599948995440.0167379784048.98326202195
608741986981.1288837692437.871116230826
6194355100248.633800110-5893.63380011022
626032691102.1599397574-30776.1599397574
6394670102858.409187576-8188.40918757643
648242585318.537357861-2893.53735786104
655901790197.688862645-31180.6888626449
669082977824.389026576213004.6109734238
678079190729.7275906502-9938.72759065021
68100423108090.887559345-7667.88755934492
69131116102595.43172288028520.5682771203
70100269105278.694070491-5009.69407049134
712733050952.085744255-23622.085744255
723903992295.8875835272-53256.8875835272
7310688595938.564840055210946.4351599448
747928594883.1140766618-15598.1140766618
7511888197978.822805311420902.1771946886
767762392469.857293395-14846.8572933949
7711476897242.86082901717525.1391709829
787401592081.4240047587-18066.4240047587
796946588706.8589943515-19241.8589943515
80117869126153.671737811-8284.67173781054
816098293952.2466475115-32970.2466475115
829013196998.0947546509-6867.09475465085
83138971100921.94782669138049.0521733088
843962592813.2094663442-53188.2094663442
8510272596824.58848046725900.41151953277
866423974764.0619711108-10525.0619711108
879026296718.227321989-6456.227321989
8810396096395.26674439057564.73325560954
8910661196899.37531959329711.62468040676
9010334596717.95675390676627.0432460933
919555196283.6208096572-732.62080965723
928290394126.5774213834-11223.5774213834
936359390280.5304702878-26687.5304702878
94126910120997.1291162235912.87088377726
953752790866.7383970305-53339.7383970305
966024778170.0414337687-17923.0414337687
9711299597739.538216681615255.4617833184
987018477793.8367675531-7609.8367675531
9913014099191.291817065630948.7081829344
1007322190573.007135473-17352.0071354731


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.9971266159934620.005746768013076040.00287338400653802
130.9937334471640970.01253310567180520.00626655283590261
140.9984769925879980.003046014824004500.00152300741200225
150.9967984037318960.006403192536207510.00320159626810375
160.995621322281450.00875735543710020.0043786777185501
170.9999494125485560.0001011749028890715.05874514445356e-05
180.9998878345762380.0002243308475234940.000112165423761747
190.9997517586098370.0004964827803264720.000248241390163236
200.9995203868970570.0009592262058868550.000479613102943427
210.9993414209252180.001317158149564480.000658579074782239
220.9988995680965780.002200863806843700.00110043190342185
230.9981536061021640.003692787795672030.00184639389783602
240.9972599098102650.0054801803794690.0027400901897345
250.9962379106492670.007524178701466290.00376208935073314
260.9986179810108720.002764037978256590.00138201898912829
270.9976971623536140.004605675292771940.00230283764638597
280.9989381186771170.002123762645766310.00106188132288315
290.9999488240787170.0001023518425669595.11759212834793e-05
300.9999048580104680.0001902839790646149.51419895323072e-05
310.9999214859103960.0001570281792083827.85140896041911e-05
320.9998588047736520.0002823904526950730.000141195226347536
330.9998777050228530.0002445899542939940.000122294977146997
340.9998303131668540.0003393736662910030.000169686833145502
350.9999999999940821.18365330178135e-115.91826650890677e-12
360.999999999986962.60816899040654e-111.30408449520327e-11
370.9999999999766434.67136919906353e-112.33568459953177e-11
380.9999999999478261.04349068301360e-105.21745341506798e-11
390.9999999998686692.62662579211616e-101.31331289605808e-10
400.9999999997330225.33955170451638e-102.66977585225819e-10
410.9999999999901551.96909962565398e-119.84549812826988e-12
420.999999999991531.69416396153160e-118.47081980765799e-12
430.9999999999789564.20869884073385e-112.10434942036693e-11
440.9999999999760054.799093274538e-112.399546637269e-11
450.999999999953549.29213316969542e-114.64606658484771e-11
460.999999999872692.54621078667073e-101.27310539333537e-10
470.999999999925811.48380017034485e-107.41900085172423e-11
480.9999999999965536.8939773059141e-123.44698865295705e-12
490.9999999999921741.56513267665523e-117.82566338327613e-12
500.9999999999845243.09528712017229e-111.54764356008615e-11
510.9999999999555228.89550818570371e-114.44775409285186e-11
520.9999999999079451.84110125220306e-109.20550626101531e-11
530.999999999726475.47058242746945e-102.73529121373472e-10
540.999999999863662.72679968511218e-101.36339984255609e-10
550.9999999999098071.80386292692178e-109.0193146346089e-11
560.9999999997825774.34845081047319e-102.17422540523659e-10
570.9999999999830373.39250488840588e-111.69625244420294e-11
580.999999999945291.09418116532638e-105.4709058266319e-11
590.9999999998290633.41873259617551e-101.70936629808776e-10
600.9999999995020489.95904839121552e-104.97952419560776e-10
610.9999999987896762.42064693100931e-091.21032346550465e-09
620.999999996809416.38117826510781e-093.19058913255391e-09
630.9999999905775671.88448666070307e-089.42243330351535e-09
640.9999999713510375.72979262147124e-082.86489631073562e-08
650.999999925061971.49876060554727e-077.49380302773633e-08
660.9999997956949344.08610131027613e-072.04305065513807e-07
670.9999996237462497.52507502412313e-073.76253751206156e-07
680.9999990666254091.86674918253146e-069.33374591265731e-07
690.999998771146382.45770723998227e-061.22885361999114e-06
700.9999966057572846.78848543196701e-063.39424271598350e-06
710.9999932978816121.34042367761426e-056.70211838807129e-06
720.9999868068165692.63863668621131e-051.31931834310566e-05
730.9999759238826364.81522347274234e-052.40761173637117e-05
740.9999388069344840.0001223861310322836.11930655161417e-05
750.9998936241302580.0002127517394841310.000106375869742066
760.9998618708682140.0002762582635710410.000138129131785521
770.9996897724544120.0006204550911765740.000310227545588287
780.9994297260914460.001140547817107210.000570273908553603
790.998907904853410.002184190293178680.00109209514658934
800.9999719299490645.6140101871375e-052.80700509356875e-05
810.9999166132384460.0001667735231078548.33867615539269e-05
820.9998752970237120.0002494059525765440.000124702976288272
830.999659626138620.0006807477227619240.000340373861380962
840.999632831257920.0007343374841613490.000367168742080674
850.9985362974427630.002927405114474790.00146370255723739
860.9965192559755690.00696148804886250.00348074402443125
870.9979741405830170.004051718833965380.00202585941698269
880.9953840904847190.009231819030562360.00461590951528118


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level760.987012987012987NOK
5% type I error level771NOK
10% type I error level771NOK