116
METODOLOGÍA PARA ESTIMAR EL USO EFICIENTE DEL AGUA EN ACTIVIDADES AGRICOLAS
Producción de Alfalfa con Bombeo de agua en la estimación no lineal, arroja un valor para el
coeficiente de 0.8565.
reg lPAlB lAAlB
Source
|
SS
df
MS
Number of obs = 48
------------- +
------------------------------
F( 1, 46)
=
54.36
Model
|
21.6510805
1
21.6510805
Prob > F
= 0.0000
Residual
|
8.3226781
46
.398319089
R-squared = 0.5416
------------- +
------------------------------
Adj R-squared = 0.6004
Total
|
39.9737586
47
.850505502
Root MSE = 0.5317
---------------------------------------------------------------------------------------------------------------------------------------------
lPAlB |
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
------------- + -------------------------------------------------------------------------------------------------------------------------
lAAlB |
.8565234
.1161756
7.37
0.000
.622674
1.090373
_cons
|
1.988854 .8987098
2.21
0.032
.1798453
3.797863
-----------------------------------------------------------------------------------------------------------------------------------------------
Producción de Fresa por bombeo.
. reg PFrB AFrB
Source
|
SS
df
MS
Number of obs = 21
------------- +
------------------------------
F( 1, 19)
=
114.94
Model
|
200218014
1
200218014
Prob > F
= 0.0000
Residual
|
33097444.2
19
1741970.75
R-squared = 0.8581
------------- +
------------------------------
Adj R-squared = 0.8507
Total
|
233315458
20
11665772.9
Root MSE = 1319.8
---------------------------------------------------------------------------------------------------------------------------------------------
PFrB |
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
------------- + -------------------------------------------------------------------------------------------------------------------------
AFrB |
.7457229
.0695579
10.72
0.000
.6001366
.8913092
_cons
|
1080.84
365.9028
2.95
0.008
314.9966
1846.684
-----------------------------------------------------------------------------------------------------------------------------------------------
Breusch-Pagan / Cook-Weisberg test for heteroskedasticity
Ho: Constant variance
Variables: fitted values of PFrB
chi2(1) =
3.52
Prob > chi2 =
0.0607
Linear regression
Number of obs
= 21
F( 1, 19)
= 88.48
Prob > F
=
0.0000
R-squared
=
0.8581
Root MSE
=
1319.8
