114
METODOLOGÍA PARA ESTIMAR EL USO EFICIENTE DEL AGUA EN ACTIVIDADES AGRICOLAS
Producción de Alfalfa con agua superficial, se obtiene en el modelo no lineal una estimación del
coeficiente de 0.6673
reg lPAlS lAAlS
Source
|
SS
df
MS
Number of obs = 38
------------- +
------------------------------
F( 1, 36)
=
42.51
Model
|
22.5327177
1
22.5327177
Prob > F
= 0.0000
Residual
|
19.0800185
36
.530000513
R-squared = 0.5415
------------- +
------------------------------
Adj R-squared = 0.6004
Total
|
41.6127362
37
1.12466854
Root MSE = .72801
---------------------------------------------------------------------------------------------------------------------------------------------
PAlS
|
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
------------- + -------------------------------------------------------------------------------------------------------------------------
AAlS
|
.667375
.1023532
6.52
0.000
.4597932
.874957
_cons
|
3.452926
.6495935
5.32
0.000
2.135489
4.770362
-----------------------------------------------------------------------------------------------------------------------------------------------
Producción de Alfalfa con Bombeo de agua.
. reg PAlB AAlB
Source
|
SS
df
MS
Number of obs = 48
------------- +
------------------------------
F( 1, 46)
=
30.46
Model
|
587896059
1
587896059
Prob > F
= 0.0000
Residual
|
887919197
46
.530000513
R-squared = 0.3984
------------- +
------------------------------
Adj R-squared = 0.6004
Total
|
1.4758e+09
47
31400324.6
Root MSE = 4393.5
---------------------------------------------------------------------------------------------------------------------------------------------
PAlB |
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
------------- + -------------------------------------------------------------------------------------------------------------------------
AAlB |
2.271051
.4115138
5.52
0.000
1.442716
3.099385
_cons
|
1168.772
1304.652
0.90
0.375
-1457.355
3794.9
-----------------------------------------------------------------------------------------------------------------------------------------------
Breusch-Pagan / Cook-Weisberg test for heteroskedasticity
Ho: Constant variance
Variables: fitted values of PAlB
chi2(1) =
6.12
Prob > chi2 =
0.0133
White’s test for Ho: homoskedasticity
against Ha: unrestricted heteroskedasticity
chi2(2) = 4.77
Prob > chi2 =
0.0922
