I'm new in data science so please sorry if this is silly question to be asked. While building a predictive model on machine learning using logistic regression I got stuck in statistics tests needed. I have some doubts in statistics tests and following are the questions:
1) In order to check independency in between predictors certain statistics tests are requires as:
i) continuous vs continuous(correlation test)
ii) categorical vs continuous(ANOVA test)
iii) categorical vs categorical(chi-square test)
But want to ask,
a) what would I concluded from these tests results?
b) suppose if two predictors are dependent then what to do next?
c) should I need to keep the dependent predictors,if yes then why?
d) In one the test chi square value is 18.35 and p-value is 0.08. now what i can concluded from these value I know that P-value is greater the 0.05 but don't get what it represents?