Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 129656.217228832 + 12.4358918340159DJIA[t] + 0.524824953147275Y1[t] + 0.222560731502311Y2[t] + 221392.319599041M1[t] + 273538.387148335M2[t] + 206489.247472616M3[t] + 146948.49845131M4[t] + 362848.209945268M5[t] + 116948.288333272M6[t] + 55546.0535751213M7[t] -40727.3840958933M8[t] -219577.429709325M9[t] -158224.026404345M10[t] -97473.7128923078M11[t] + 874.612157839409t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)129656.21722883257637.8166272.24950.0297810.014891
DJIA12.43589183401593.0793224.03850.0002240.000112
Y10.5248249531472750.1458343.59880.0008370.000418
Y20.2225607315023110.1323111.68210.0999710.049985
M1221392.31959904121753.82626810.177200
M2273538.38714833544595.7765186.133700
M3206489.24747261645965.9342254.49225.4e-052.7e-05
M4146948.4984513143381.0945883.38740.0015430.000771
M5362848.20994526841606.3472748.72100
M6116948.28833327267849.3138081.72360.0921270.046063
M755546.053575121349809.6248711.11520.2711190.13556
M8-40727.384095893345260.145545-0.89990.373330.186665
M9-219577.42970932537915.746689-5.79121e-060
M10-158224.02640434535261.391135-4.48725.5e-052.8e-05
M11-97473.712892307820490.289028-4.75712.3e-051.2e-05
t874.612157839409330.1785092.64890.011330.005665


Multiple Linear Regression - Regression Statistics
Multiple R0.996234563754612
R-squared0.992483306019343
Adjusted R-squared0.989798772454822
F-TEST (value)369.704189635123
F-TEST (DF numerator)15
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26380.5966643776
Sum Squared Residuals29229306975.4799


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112077631231934.84623924-24171.8462392447
213688391389986.73089028-21147.7308902834
314697981456143.2310322813654.7689677218
414987211483918.0554641114802.9445358923
517617691742892.1903852718876.8096147344
616532141640376.9973157612837.0026842425
715991041582504.3234055116599.6765944936
814211791432947.51070269-11768.5107026891
911639951154098.885509669896.11449033933
1010377351040652.24230833-2917.24230833081
111015407980606.26324380334800.7367561969
1210392101040734.41267586-1524.41267585885
1312580491271965.861002-13916.8610020010
1414694451448342.5433555321102.4566444735
1515523461539346.2511810412999.7488189553
1615491441571012.11087183-21868.1108718256
1717858951804997.42895035-19102.4289503532
1816623351685943.15629329-23608.1562932917
1916294401616964.5391212012475.4608788035
2014674301481796.99310387-14366.9931038669
2112022091213229.48165308-11020.4816530790
2210769821103205.61993474-26223.6199347369
2310393671042052.09771843-2685.09771843052
2410634491088397.90346119-24948.9034611854
2513351351315998.0524723119136.9475276891
2614916021525777.60745416-34175.6074541639
2715919721609210.42197474-17238.4219747393
2816412481635320.666605155927.3333948493
2918988491897849.41585780999.58414220199
3017985801800798.97299965-2218.97299964819
3117624441751668.6860265410775.3139734618
3216220441615416.389980686627.61001931874
3313689551348770.2444576320184.7555423690
3412629731245593.9138133817379.0861866209
3511956501187627.810227288022.18977271624
3612695301222280.9041231147249.095876888
3714792791468294.9216701610984.0783298362
3816078191654769.67368396-46950.6736839629
3917124661700477.0670211711988.9329788306
4017217661709318.9596483312447.0403516682
4119498431954612.79756419-4769.79756419246
4218213261833416.31692726-12090.3169272630
4317578021747584.0446893010217.9553106956
4415903671571270.5829453519096.4170546472
4512606471285115.30627868-24468.3062786766
4611492351136378.8324056312856.1675943738
4710163671056504.82881048-40137.8288104827
4810278851048660.77973984-20775.7797398437
4912621591254191.318616287967.68138372035
5015208541439682.4446160681171.5553839367
5115441441565549.02879077-21405.0287907684
5215647091576018.20741058-11309.2074105842
5318217761817780.167242393995.83275760925
5417413651716284.5564640425080.4435359603
5516233861673454.40675745-50068.4067574546
5614986581498246.52326741411.476732590057
5712418221236414.082100955407.9178990472
5811360291137123.39153793-1094.39153792697


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.1274756511959920.2549513023919850.872524348804008
200.1092025131775190.2184050263550390.89079748682248
210.0657913589525820.1315827179051640.934208641047418
220.02928846748904760.05857693497809520.970711532510952
230.01532517029749330.03065034059498650.984674829702507
240.006798846307228080.01359769261445620.993201153692772
250.00981904057767620.01963808115535240.990180959422324
260.01585122854030450.03170245708060890.984148771459695
270.025054440974090.050108881948180.97494555902591
280.03188885895377890.06377771790755780.968111141046221
290.02321222433612160.04642444867224310.976787775663878
300.02688902885599270.05377805771198530.973110971144007
310.01571510849245360.03143021698490720.984284891507546
320.02927998888038410.05855997776076820.970720011119616
330.02342253203509220.04684506407018430.976577467964908
340.1649312409115550.329862481823110.835068759088445
350.1931520012689360.3863040025378710.806847998731064
360.1947513745706720.3895027491413450.805248625429328
370.2788835990783440.5577671981566870.721116400921656
380.4807625347048210.9615250694096420.519237465295179
390.3411847472342690.6823694944685370.658815252765731


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level70.333333333333333NOK
10% type I error level120.571428571428571NOK