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Please tell me which is the best way to select significant variables before any predictive modeling or Regression

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Dear Sunil,
Good evening. I'd seen this post little late. In my point of view if you haven't yet finalised which predictive you're going to use then best way is check correlation among variables. Avoid those variables which do have multi co-linearity among themselves. I hope this will sort your issue.

What type of data you have?

- Continuous Y and categorical X? t-test

- Categorical Y and categorical X? chi-square

and then include in the model the variables (Xs) that are significant (p-value<0.05 or 0.1)


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