Question ======== Under the assumptions of the Gauss-Markov theorem the errors of a linear regression model need to be: Answerlist ---------- * independent * uncorrelated * normally distributed * identically distributed * homoscedastic * zero Solution ======== Under the assumptions of the Gauss-Markov theorem the errors of a linear regression model need to be uncorrelated, homoscedastic, and with mean zero. Answerlist ---------- * False. Independence is not assumed, only lack of correlation. * True. The errors need to be uncorrelated. * False. No distribution assumption is needed. * False. No distribution assumption is needed. * True. The errors need to be homoscedastic with finite variance. * False. Only their conditional expectation needs to be zero. Meta-information ================ exname: Gauss-Markov assumptions extype: mchoice exsolution: 010010 exshuffle: 5