Why we can not use linear regression for dependent variable with binary outcomes
Interview Answers
Anonymous
Dec 5, 2014
Because of the decision boundary
Anonymous
Feb 28, 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)