Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = + 294370.551448375 + 9.09965160204044Costs[t] -180.944089053398Orders[t] + 0.738242849391378Dividends[t] -346.303558627737t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)294370.55144837553080.6364795.54571e-061e-06
Costs9.099651602040447.401321.22950.225150.112575
Orders-180.944089053398474.895146-0.3810.7049430.352472
Dividends0.7382428493913780.4075131.81160.0765830.038291
t-346.303558627737936.761194-0.36970.7133160.356658


Multiple Linear Regression - Regression Statistics
Multiple R0.350414092233016
R-squared0.122790036035489
Adjusted R-squared0.046510908734227
F-TEST (value)1.60974620947790
F-TEST (DF numerator)4
F-TEST (DF denominator)46
p-value0.187896665754246
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation89158.422019695
Sum Squared Residuals365664313983.934


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1194493363793.112919668-169300.112919668
2530670385947.497940873144722.502059127
3518365405971.66695083112393.333049170
4491303481158.86418964610144.1358103537
5527021399501.477428195127519.522571805
6233773429666.01726431-195893.01726431
7405972344997.02342459560974.9765754047
8652925361790.480116336291134.519883664
9446211396382.33873838649828.6612616139
10341340366819.462472095-25479.4624720946
11387699424589.866877107-36890.8668771066
12493408402730.77813522490677.221864776
13146494342517.900116807-196023.900116807
14414462383297.26225470331164.7377452967
15364304404895.435835959-40591.4358359589
16355178346969.1599794368208.84002056363
17357760430717.967048511-72957.9670485114
18261216353073.997512249-91857.9975122487
19397144372647.39031951724496.6096804826
20374943383988.915097027-9045.91509702724
21424898382466.99527911242431.0047208875
22202055325770.228997027-123715.228997027
23378525354931.07336414223593.9266358575
24310768371654.911324157-60886.9113241572
25325738347657.256982726-21919.2569827264
26394510384949.4199887649560.58001123585
27247060354766.983360266-107706.983360266
28368078373362.175984464-5284.17598446397
29236761344349.125563938-107588.125563938
30312378337501.945642350-25123.9456423496
31339836374359.182355092-34523.1823550918
32347385335618.50364213911766.4963578608
33426280380097.86093737246182.1390626277
34352850387190.717342426-34340.717342426
35301881316195.754871797-14314.7548717971
36377516359702.67962915317813.3203708468
37357312368472.321044384-11160.3210443841
38458343362892.81452157795450.1854784235
39354228360173.977992028-5945.97799202815
40308636370180.902225009-61544.9022250092
41386212359092.09802659927119.9019734013
42393343362060.06013796631282.9398620343
43378509360279.15438275718229.8456172434
44452469334277.589393866118191.410606134
45364839426677.936659968-61838.9366599678
46358649315553.27320756743095.7267924328
47376641344942.31411278531698.6858872151
48429112362012.33983549667099.6601645036
49330546338100.650623410-7554.65062341034
50403560393023.86695239910536.1330476012
51317892341720.270997787-23828.2709977874


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9999961593426387.68131472472353e-063.84065736236176e-06
90.9999942851988861.14296022270545e-055.71480111352725e-06
100.9999907764782151.84470435705724e-059.22352178528618e-06
110.9999791402327834.1719534434222e-052.0859767217111e-05
120.9999903733672971.92532654051587e-059.62663270257937e-06
130.9999997338460745.32307851399562e-072.66153925699781e-07
140.999999742339835.15320340034468e-072.57660170017234e-07
150.9999993130223371.37395532618426e-066.86977663092131e-07
160.999998746019372.50796125806381e-061.25398062903190e-06
170.9999997178220245.6435595116163e-072.82177975580815e-07
180.9999992067016931.58659661321778e-067.93298306608889e-07
190.9999991041891531.79162169421509e-068.95810847107547e-07
200.999997833059484.33388104127622e-062.16694052063811e-06
210.99999596311678.07376659947206e-064.03688329973603e-06
220.9999986076147062.78477058867004e-061.39238529433502e-06
230.9999994604263161.07914736875013e-065.39573684375067e-07
240.9999985804305462.83913890789466e-061.41956945394733e-06
250.9999974041983525.19160329527971e-062.59580164763985e-06
260.9999965897411986.82051760401477e-063.41025880200738e-06
270.9999941962065821.16075868362915e-055.80379341814576e-06
280.9999862085141852.75829716298629e-051.37914858149315e-05
290.9999844533551633.10932896743656e-051.55466448371828e-05
300.999980140152953.97196940991508e-051.98598470495754e-05
310.9999393212552080.0001213574895834476.06787447917233e-05
320.9998489791395030.0003020417209942720.000151020860497136
330.9998197581724480.0003604836551044200.000180241827552210
340.99968071149110.000638577017801510.000319288508900755
350.999095732128420.001808535743158410.000904267871579207
360.9980496304238370.003900739152326050.00195036957616302
370.9948888068320020.01022238633599670.00511119316799836
380.9897256036159880.02054879276802460.0102743963840123
390.975427356918840.04914528616232180.0245726430811609
400.9984602803512070.00307943929758520.0015397196487926
410.9939608549265690.01207829014686290.00603914507343144
420.9839273775838530.03214524483229380.0160726224161469
430.9701533824284670.05969323514306660.0298466175715333


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level300.833333333333333NOK
5% type I error level350.972222222222222NOK
10% type I error level361NOK