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Consider a bivariate linear regression, Yi $=\backslash$beta $0+\backslash$beta $1$Xi $+\backslash$epsi i

$,$ where, the standard

assumption E$[\backslash$epsi i

$|$X$]=0$ is violated. Instead, the distribution of $\backslash$epsi i

is such that:

E$[\backslash$epsi i

$|$X$]=$ k$,$ and k $>0.$ Even though, the standard assumption is violated, both the slope

coefficient and the intercept coefficient of OLS remains unbiased.