STATA - Exploring Multicollinearity in Data and Estimating Ridge Regression to Remove Biasness

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This study provides the theoretical background of why multicollinearity in regression data analysis is a problem. This tutorial will guide you in #detecting the #presence of #multicollinearity in the model using multiple tests like #VIF, #Tolerence, #condition-index. Further it will guide regarding when is #ridge #regression necessary and how it removes the multicollinearity. Lastly, we learnt how to estimate ridge regression.

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