This is common across all modeling methods in SAS.
If the p-value is less than 0.05, then the term is significant (at the alpha=0.05 level). In PROC LOGISTIC, the column you want to look at is Pr>ChiSq.
This is common across all modeling methods in SAS.
If the p-value is less than 0.05, then the term is significant (at the alpha=0.05 level). In PROC LOGISTIC, the column you want to look at is Pr>ChiSq.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.