Displaying 1 result from an estimated 1 matches for "romangamma".
2010 Mar 31
2
interpretation of p values for highly correlated logistic analysis
...ta$roman+data$animal,family=binomial)
then I find that my P values for each individual level coefficient approach 1:
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -41.65 19609.49 -0.002 0.998
data$romanbeta 42.35 19609.49 0.002 0.998
data$romangamma 43.74 31089.48 0.001 0.999
data$animaldog 20.48 13866.00 0.001 0.999
while I expect the p value for roman:beta to be quite low because it
is a good predictor of colour:white
On the other hand, if I then run an anova with a Chi-sq test on the
result model, I find as I would ex...