ANEXOS
99
ESTIMACION CORREGIDA POR HETEROSCEDASTICIAD
Li
near regression
Number of obs
= 29
F( 1, 27)
=
134.26
Prob > F
=
0.0000
R-squared
=
0.9089
Root MSE
=
3738.4
----------------------------------------------------------------------------------------------------------------------------------------------
|
Robust
[95% Conf. Interval]
PCeS
|
Coef
Std. Err.
t
P>|t|
------------------- + -------------------------------------------------------------------------------------------------------------------
ACeS
|
1.136344
.0980689
11.59
0.000
.9351228
1.337564
_cons
|
-1039.531 1070.644
-0.97
0.340
-3236.312
1157.25
----------------------------------------------------------------------------------------------------------------------------------------------
reg lPCeS lACeS
Source
|
SS
df
MS
Number of obs = 29
------------- +
------------------------------
F( 1, 27)
=
2174.65
Model
|
100.880646
1
100.880646
Prob > F
= 0.0000
Residual
|
1.25251455
27
.046389428
R-squared = 0.9877
------------- +
------------------------------
Adj R-squared = 0.9055
Total
|
102.13316
28
3.64761287
Root MSE = .21538
---------------------------------------------------------------------------------------------------------------------------------------------
lPCeS |
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
------------- + -------------------------------------------------------------------------------------------------------------------------
lACeS |
1.036811
.0222334
46.63
0.000
.9911922
1.08243
_cons
|
-.3553741
.203655
-1.74
0.092
-.7732396
.0624914
-----------------------------------------------------------------------------------------------------------------------------------------------
