[R-sig-ME] Mixes effect with polynomial term

[Pin chanratana]

Hello,

I'm fitting data of Lesser adjutant that were camera-trapped at waterholes
during the dry season.
My final model consist of depth of waterholes and the depth power 2. Can anyone
help me in interpreting the result shown below.

glmmadmb ( LA ~ depth + I(depth^2) + offset(log(trap)) + (1 | obs), data =
ndata4, family = "nbinom")

Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept)  -3.0644     0.2397  -12.78  < 2e-16 ***
depth         1.5807     0.2633    6.00  1.9e-09 ***
I(depth^2)   -0.3598     0.0737   -4.89  1.0e-06 ***

Number of observations: total=294, obs=9
Random effect variance(s):
Group=obs
            Variance StdDev
(Intercept)   0.3244 0.5696

Negative binomial dispersion parameter: 0.34381 (std. err.: 0.064328)


Thanks,

Ratana

	[[alternative HTML version deleted]]