I am using a glm function for regression analysis. And I have one question about interpreting residual / null deviance in GLM.
First, here is the result.
Call: glm(formula = cbind(using, notUsing) ~ age + hiEduc + noMore, family = binomial, data = cuse) Coefficients: (Intercept) age25-29 age30-39 age40-49 hiEducTRUE noMoreTRUE -1.9662 0.3894 0.9086 1.1892 0.3250 0.8330 Degrees of Freedom: 15 Total (i.e. Null); 10 Residual Null Deviance: 165.8 Residual Deviance: 29.92 AIC: 113.4
To see significance, I obtained the p-value as follows:
pchisq(29.92, 10, lower.tail = FALSE)  0.0008828339
Because this p-value is smaller than 0.05, is it OK to say that our model is appropriate?
Thank you in advance!!