Why we can not use linear regression for dependent variable with binary outcomes

Question

Anonimo · Accepted Answer

Because of the decision boundary

Grace · Answer

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)

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