Hi Alyaa,
These are all quite common and basic statistics terms; if you read any introductory materials about regression you will be introduced to them. Rather than explaining them in detail here, I will just recommend that you do some searching to read the relevant materials online or in a stats textbook. (There are lots of textbooks and online materials available; there are probably some that are specific to your field of study [for example, my research involves linguistics and psychology, so I have read books that are specifically about statistics for linguistics and statistics for psychology, so the examples are easier for me to understand.)
If you have a more specific question then people here can probably help you more. But, to be honest, a question as general as "what is a correlation" and "what is an interaction" is something that would be better for you to learn by directly reading an introduction to statistics.
Nearly ,I understand these term but I dont know how to test them in binary logistic regression when the independent variables are categorical not continuous??
Regarding interaction when I make multilevel logistic regression when I can introduce the suspected interacted variables?in final block? separately or with the other variables??
These all work the same in logistic regression as they do in linear regression. You can code interaction terms the same way (of course, the interpretation depends on whether your independent variables are categorical or continuous) as you do in linear regression. Likewise, concerns about collinearity between the predictor variables are the same as they would be for linear regression.
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