When autocorrelation is present,which assumption of the linear regression model is incorrect? A)E(e_t)=0 B)var (e_t)=$\sigma$² C)cov(e_t,e_s)=0,t≠s D)e_t N(0,$\sigma$²)

Name: When autocorrelation is present,which assumption of the linear regression model is incorrect? A)E(e t )=0 B)var (e t )=$\sigma$ 2 C)cov(e t ,e s )=0,t≠s D)e t N(0,$\sigma$ 2 )
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Autocorrelation violates the assumption that the error terms are uncorrelated, which is stated as cov(e_t, e_s) = 0 for t ≠ s.

When Autocorrelation Is Present,which Assumption of the Linear Regression Model σ\sigmaσ

When Autocorrelation Is Present,which Assumption of the Linear Regression Model $\sigma$