I have a set of data and I wish to construct a multivariate regression model for predicting. I saw that if the variables are multi-colinear the multivariate regression model will be bad. I don't know how the multi-colinearity conducts to the bad model. And finally I don't what's the difference between correlation and multi-colinearity between variables. How these two concepts impact the model?
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This question has already been answered on the site. Please refer: https://stats.stackexchange.com/a/432543/79100 – Dr Nisha Arora Jan 24 '21 at 06:10