Multiple Linear Regression - Estimated Regression Equation
TWIB[t] = + 17275.6362570304 + 1316.09095825163GI[t] + 0.993868125182958TWIB1[t] -0.0712656523643038TWIB2[t] + 0.0674558849413127TWIB3[t] -0.0287714131544064TWIB4[t] -3746.49879045247M1[t] + 7599.43785050854M2[t] + 58721.4905633282M3[t] + 16139.1979301117M4[t] + 2816.99152249312M5[t] -7256.21688681164M6[t] -7886.08593225942M7[t] + 11261.2367889179M8[t] + 8262.97224709365M9[t] + 2729.07025670023M10[t] -2820.30522071984M11[t] -171.699244602508t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)17275.636257030417561.3653670.98370.3299850.164992
GI1316.090958251631186.5148771.10920.2726470.136324
TWIB10.9938681251829580.1474466.740600
TWIB2-0.07126565236430380.203243-0.35060.7273290.363665
TWIB30.06745588494131270.2041080.33050.7424090.371205
TWIB4-0.02877141315440640.163704-0.17580.8611980.430599
M1-3746.498790452474270.554276-0.87730.3845270.192264
M27599.437850508544474.8537821.69830.0956760.047838
M358721.49056332824549.38670712.907600
M416139.197930111710133.0287371.59270.1175230.058762
M52816.9915224931210768.990410.26160.7947170.397359
M6-7256.2168868116410088.815973-0.71920.4753450.237673
M7-7886.085932259424241.612296-1.85920.0688860.034443
M811261.23678891794638.973712.42750.0188450.009423
M98262.972247093655705.5285051.44820.1537920.076896
M102729.070256700235403.9987360.5050.6157710.307885
M11-2820.305220719844349.957979-0.64840.5197240.259862
t-171.69924460250877.763277-2.2080.0318610.015931


Multiple Linear Regression - Regression Statistics
Multiple R0.99031942858933
R-squared0.980732570641498
Adjusted R-squared0.974181644659608
F-TEST (value)149.708998903765
F-TEST (DF numerator)17
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6547.42229412788
Sum Squared Residuals2143436934.88214


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1500857504407.745017719-3550.74501771933
2506971507662.863167248-691.863167248181
3569323565296.701278284026.29872172049
4579714583673.595229676-3959.5952296759
5577992576845.3912731551146.60872684491
6565464568047.013135975-2583.01313597482
7547344553955.572470251-6611.57247025056
8554788555268.389727549-480.389727548675
9562325559992.5709327322332.42906726787
10560854559990.572582427863.427417573398
11555332553030.6500486012301.34995139921
12543599551248.234096493-7649.23409649282
13536662536141.259820804520.740179196085
14542722540532.1979965872189.80200341266
15593530597498.787075112-3968.78707511180
16610763604547.4014691386215.59853086158
17612613604905.1117170167707.88828298418
18611324599444.94661666211879.0533833384
19594167596667.87197037-2500.87197037077
20595454598049.31888168-2595.31888168041
21590865597372.599515779-6507.59951577861
22589379586157.3824849933221.61751500652
23584428580524.9501461843903.04985381575
24573100577485.795545908-4385.79554590806
25567456562693.6882035794762.31179642101
26569028569037.829636641-9.82963664104096
27620735621462.683237327-727.683237327405
28628884629931.802456431-1047.80245643126
29628232620988.8124806717243.18751932896
30612117612168.217214259-51.2172142585296
31595404594853.771126114550.228873886237
32597141598483.710419055-1342.71041905507
33593408596768.038502108-3360.03850210763
34590072586564.8002356063507.19976439398
35579799577470.9799576662328.02004233444
36574205570371.9685202313833.03147976879
37572775561771.77328443311003.2267155672
38572942571063.2282577361878.77174226378
39619567622068.078996888-2501.07899688827
40625809625837.381557325-28.3815573246587
41619916615408.4570504314507.54294956895
42587625602133.77923798-14508.7792379797
43565742568738.776302509-2996.77630250886
44557274567689.714085332-10415.7140853318
45560576555786.1223384484789.87766155205
46548854553550.28086485-4696.28086485043
47531673535738.935004051-4065.9350040508
48525919522613.6443570823305.35564291816
49511038512525.768638526-1487.76863852633
50498662508498.615973561-9836.6159735607
51555362548447.1512806256914.84871937448
52564591561825.9873101692765.01268983071
53541657553188.650559148-11531.6505591479
54527070524331.5297811222738.47021887835
55509846510184.46123992-338.461239919696
56514258511795.1239454362462.87605456408
57516922514176.6687109342745.33128906632
58507561510456.963832123-2895.96383212348
59492622497088.484843499-4466.48484349860
60490243485346.3574802864896.64251971393
61469357480604.765034939-11247.7650349387
62477580471110.2649682276469.73503177348
63528379532122.598131767-3743.5981317675
64533590537534.83197726-3944.83197726046
65517945527018.576919579-9073.57691957914
66506174503648.5140140042525.48598599633
67501866489968.54689083611897.4531091636
68516141503769.74294094812371.2570590519


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.2447551018561450.489510203712290.755244898143855
220.1310623244400330.2621246488800670.868937675559966
230.1314295223295800.2628590446591610.86857047767042
240.09592783485963360.1918556697192670.904072165140366
250.06449933184498810.1289986636899760.935500668155012
260.07046321392612350.1409264278522470.929536786073876
270.07211212926549340.1442242585309870.927887870734507
280.06336046261365460.1267209252273090.936639537386345
290.04698188795136980.09396377590273960.95301811204863
300.04964227497159740.09928454994319480.950357725028403
310.02890263725186880.05780527450373760.971097362748131
320.01560416337385510.03120832674771020.984395836626145
330.01073072554463930.02146145108927860.98926927445536
340.005970051266669580.01194010253333920.99402994873333
350.003422449692250030.006844899384500060.99657755030775
360.003103763823521010.006207527647042010.996896236176479
370.01283471986872900.02566943973745810.987165280131271
380.01537064389941840.03074128779883690.984629356100582
390.01028453035079610.02056906070159210.989715469649204
400.006556352055023750.01311270411004750.993443647944976
410.174451306122170.348902612244340.82554869387783
420.3799651490561810.7599302981123630.620034850943819
430.2978806213849430.5957612427698850.702119378615057
440.3669855520141300.7339711040282610.63301444798587
450.3099241129016170.6198482258032340.690075887098383
460.1994076487939820.3988152975879650.800592351206018
470.1175640380019950.235128076003990.882435961998005


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0740740740740741NOK
5% type I error level90.333333333333333NOK
10% type I error level120.444444444444444NOK