Hi all,
I run a glm analysis of the effects of altitude to the proportion of endemic
plant species of Crete and the results are:
Call:
glm(formula = pCRENDSR ~ Alt, family = binomial, data = dat)
Deviance Residuals:
Min 1Q Median 3Q Max
-0.078121 -0.022688 0.005328 0.027674 0.056688
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -3.2005908 1.5129560 -2.115 0.0344 *
Alt 0.0012146 0.0008905 1.364 0.1726
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 2.217584 on 23 degrees of freedom
Residual deviance: 0.029835 on 22 degrees of freedom
AIC: 14.469
Although there is an increase to the proportion of the endemic species with
altitude, the results of the glm do not show a significant effect. However,
in absolute values, the number of endemic species is significantly increased
with altitude. I would like to ask if I have to do something else for the
statistical significance except from the p=0.1726.
Thank you in advance,
Spyros
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