Why we can not use linear regression for dependent variable with binary outcomes
Respostas da entrevista
Sigiloso
5 de dez. de 2014
Because of the decision boundary
Sigiloso
28 de fev. de 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)