Why we can not use linear regression for dependent variable with binary outcomes
Interview Answers
Anonymous
5 Dec 2014
Because of the decision boundary
Anonymous
28 Feb 2018
Because linear regression produces values beyond the range [0,1], and also because the underlying assumptions of equal and normally distributed error terms will be violated (errors will be distributed binary instead)