Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 571.226537931837 -0.000135648760935602X1[t] -0.647651480072122X2[t] + 0.450211575231433X3[t] + 0.019622941502166X4[t] -0.00826729887996995`X5 `[t] + 0.533659564985225t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)571.22653793183739.87983214.323700
X1-0.0001356487609356020.000192-0.70650.4869920.243496
X2-0.6476514800721220.191151-3.38820.002530.001265
X30.4502115752314330.0003951139.747200
X40.0196229415021660.0844960.23220.8184090.409205
`X5 `-0.008267298879969950.008993-0.91930.3674740.183737
t0.5336595649852250.6319240.84450.4070890.203544


Multiple Linear Regression - Regression Statistics
Multiple R0.999992562355233
R-squared0.999985124765785
Adjusted R-squared0.999981244269903
F-TEST (value)257695.190292208
F-TEST (DF numerator)6
F-TEST (DF denominator)23
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.6248261545836
Sum Squared Residuals18845.7554647431


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13390733897.35967774059.64032225952296
23598135998.911699792-17.9116997919561
33658836585.41198801032.58801198973895
41696716924.979374836842.0206251632287
52533325308.872439595224.127560404757
62102721003.746381770423.2536182296464
72111421165.3582248238-51.3582248237744
82877728751.288607467825.7113925322473
93561235593.536932321118.4630676788965
102418324168.649300003714.3506999962516
112226222261.50083511820.499164881834414
122063720657.0192591705-20.0192591705471
132994830001.9668628494-53.9668628493774
142209322111.8940516498-18.8940516497632
153699736981.408961471615.5910385284075
163108931108.0939613519-19.0939613519105
171947719455.469473639321.5305263606565
183130131341.7415776267-40.741577626661
191849718495.59660697991.40339302007732
203014230157.0786648927-15.078664892678
212132621348.7069476537-22.7069476537025
221677916793.0404714474-14.040471447379
233806838071.2495266592-3.24952665924025
242970729726.1715794707-19.1715794707365
253501635014.77322715731.2267728427052
262613126104.526007852426.4739921475895
272925129218.019775876332.9802241236629
282285522862.5044290525-7.50442905250101
293180631759.973923373146.0260766269491
303412434126.1492303459-2.1492303459448


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.5917992218672610.8164015562654780.408200778132739
110.5666831067621870.8666337864756260.433316893237813
120.4249090059508410.8498180119016820.575090994049159
130.8903655892688250.2192688214623510.109634410731175
140.8149309667784720.3701380664430550.185069033221528
150.8395965853274160.3208068293451670.160403414672584
160.8194142233144030.3611715533711940.180585776685597
170.8995580683551580.2008838632896840.100441931644842
180.8432448283741960.3135103432516090.156755171625804
190.7646989626292170.4706020747415670.235301037370783
200.5929372335954390.8141255328091220.407062766404561


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