Why we can not use linear regression for dependent variable with binary outcomes
Réponses aux questions d'entretien
Utilisateur anonyme
5 déc. 2014
Because of the decision boundary
Utilisateur anonyme
28 févr. 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)