Analysis of Deviance Table
Model: binomial, link: logit
Response: IND
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. Dev Pr(>Chi)
NULL 3933 18.555
ETHWAR 1 6.9931 3932 11.562 0.008182 **
Analysis of Deviance Table
Model: binomial, link: logit
Response: IND
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. Dev Pr(>Chi)
NULL 3933 18.555
ETHWAR 1 6.9931 3932 11.562 0.008182 **
CIVTOT 1 0.7772 3931 10.784 0.377992
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Can someone please help me interpret these two tables?
Look at the p value corresponding two independent variable which are provided in data table 1 and data table 2
P value for ETHWAR is 0.008182 in data table 1 and data table 2, which is smaller than 0.05 or 0.01 level of significance. This means that the independent variable ETHWAR is significant and must be included in the final model.
P value for CIVTOT is 0.37799, which is greater than 0.05 or 0.10 level of significance. This means that the independent variable CIVTOT is not significant and should not be included in the final model.
Therefore, one of the independent variable is significant and thus, the model is significant and can be used for predicting the dependent variable using only the ETHWAR independent variable.
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