Multiple Linear Regression - Estimated Regression Equation
TWIB[t] = + 598405.587863502 -13369.6576865744GI[t] -7413.8812149598M1[t] -10484.0553473849M2[t] -19514.0399922482M3[t] -24596.5303423353M4[t] -33088.0206924225M5[t] -29609.6948248475M6[t] + 24292.9929021796M7[t] + 33102.7148605492M8[t] + 26340.9025875762M9[t] + 12537.7512760462M10[t] -3739.69913747457M11[t] -291.865804141256t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)598405.58786350216560.02835636.135500
GI-13369.65768657445163.836716-2.58910.0121450.006073
M1-7413.881214959819487.000702-0.38050.7049990.3525
M2-10484.055347384919465.381514-0.53860.5922240.296112
M3-19514.039992248219448.07854-1.00340.319840.15992
M4-24596.530342335319434.704041-1.26560.2107170.105359
M5-33088.020692422519424.80765-1.70340.0938480.046924
M6-29609.694824847519430.202191-1.52390.1329680.066484
M724292.992902179619419.7985921.25090.2159790.10799
M833102.714860549219390.9636641.70710.0931480.046574
M926340.902587576219384.3118271.35890.1794470.089723
M1012537.751276046219382.0400530.64690.5202650.260132
M11-3739.6991374745719370.693803-0.19310.8475870.423793
t-291.865804141256256.847858-1.13630.2604890.130244


Multiple Linear Regression - Regression Statistics
Multiple R0.67157671481839
R-squared0.451015283886261
Adjusted R-squared0.327966985446975
F-TEST (value)3.66535165139889
F-TEST (DF numerator)13
F-TEST (DF denominator)58
p-value0.000304387502449988
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33548.0762906503
Sum Squared Residuals65277458522.591


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1519164578667.148926483-59503.1489264833
2517009569957.245915287-52948.2459152873
3509933559298.429697625-49365.4296976253
4509127552587.107774739-43460.1077747394
5500857549151.614695141-48294.6146951408
6506971545653.245915287-38682.2459152873
7569323600601.03360683-31278.0336068305
8579714607781.923992401-28067.9239924015
9577992599391.28014663-21399.2801466299
10565464586633.228799616-21169.2287996160
11547344568726.946813297-21382.9468132965
12554788573511.745915287-18723.7459152873
13562325565805.998896186-3480.99889618625
14560854566454.856265592-5600.85626559224
15555332559806.937353902-4474.93735390253
16543599547747.752356387-4148.75235638693
17536662534953.4988961861708.50110381378
18542722542150.856265592571.14373440777
19593530594424.71241982-894.712419820626
20610763604279.5343427066483.46565729357
21612613599899.78780290712713.2121970929
22611324576446.01030663434877.9896933663
23594167562550.62562628731616.3743737134
24595454568672.39049693526781.6095030652
25590865559629.67770917631235.3222908237
26589379553593.70623529535785.2937647049
27584428537587.02694300346840.9730569968
28573100537560.53386340535539.4661365954
29567456528777.17770917638678.8222908237
30569028529289.70623529539738.2937647049
31620735581563.56238952339171.4376104765
32628884590081.41854375238802.5814562482
33628232584364.70623529543867.2937647049
34612117578291.48373156833825.5162684316
35595404557711.27020793437692.7297920659
36597141557148.20623529539992.7937647050
37593408553453.35652216639954.6434778337
38590072550091.316585639980.6834144
39579799550128.22651719729670.7734828025
40574205539406.00728833934798.9927116607
41572775527948.71959679644826.2804032039
42572942533809.11119754539132.8888024554
43619567588756.89888908830810.1011109121
44625809595937.78927465929871.2107253412
45619916587547.14542888732368.8545711128
46587625572115.16254455915509.8374554415
47565742555545.84632689610196.1536731036
48557274558993.67966023-1719.67966022974
49560576549950.96687247110625.0331275287
50548854545251.9611672483602.03883275252
51531673538604.042255558-6931.04225555776
52525919533229.686101329-7310.68610132938
53511038532468.124559046-21430.1245590457
54498662535654.584622479-36992.5846224793
55555362587928.440776708-32566.4407767077
56564591599120.228468251-34529.228468251
57541657590729.584622479-49072.5846224793
58527070569949.738663521-42879.7386635209
59509846548032.559371229-38186.559371229
60514258546132.529629933-31874.5296299325
61516922535752.851073517-18830.8510735166
62507561528379.913830978-20818.9138309780
63492622508362.337232714-15740.3372327138
64490243505661.9126158-15418.9126158003
65469357484845.864543655-15488.8645436549
66477580481347.495763801-3767.49576380139
67528379533621.35191803-5242.35191802978
68533590546150.10537823-12560.1053782305
69517945536422.495763801-18477.4957638014
70506174526338.375954102-20164.3759541025
71501866521801.751654357-19935.7516543574
72516141530597.44806232-14456.4480623205


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.008087244546387260.01617448909277450.991912755453613
180.002656474875738160.005312949751476320.997343525124262
190.008036806109198540.01607361221839710.991963193890801
200.004656378964433680.009312757928867360.995343621035566
210.002011155538323140.004022311076646280.997988844461677
220.001253954227291760.002507908454583520.998746045772708
230.0008896572175192590.001779314435038520.99911034278248
240.0004172829231701640.0008345658463403280.99958271707683
250.0003514721262533550.000702944252506710.999648527873747
260.0002150571913169890.0004301143826339790.999784942808683
278.63159391210599e-050.0001726318782421200.999913684060879
288.79361843314385e-050.0001758723686628770.999912063815669
295.57114321968692e-050.0001114228643937380.999944288567803
305.95757155782346e-050.0001191514311564690.999940424284422
310.0001368180151935060.0002736360303870120.999863181984807
320.0007413554294199760.001482710858839950.99925864457058
330.001594493044629290.003188986089258580.99840550695537
340.01399286804028210.02798573608056420.986007131959718
350.03115378565763960.06230757131527920.96884621434236
360.0848206344285510.1696412688571020.915179365571449
370.1353401748133740.2706803496267490.864659825186626
380.1617735491432380.3235470982864750.838226450856762
390.1479021504905340.2958043009810690.852097849509466
400.1220074043047960.2440148086095920.877992595695204
410.1048195765941670.2096391531883350.895180423405833
420.1120285327443250.224057065488650.887971467255675
430.1174516056056010.2349032112112020.882548394394399
440.1389522849227140.2779045698454280.861047715077286
450.4448871391008430.8897742782016850.555112860899157
460.7815475011878980.4369049976242050.218452498812102
470.8922707910861470.2154584178277070.107729208913853
480.9249911868753620.1500176262492760.0750088131246382
490.9557664925806390.08846701483872240.0442335074193612
500.981508097293850.03698380541230250.0184919027061512
510.9914348363898650.01713032722026930.00856516361013466
520.9981174156351550.003765168729690930.00188258436484547
530.9999058502389060.0001882995221882479.41497610941233e-05
540.9998120123933420.0003759752133160280.000187987606658014
550.9981681534494880.003663693101023720.00183184655051186


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level190.487179487179487NOK
5% type I error level240.615384615384615NOK
10% type I error level260.666666666666667NOK