Assume that your population regression function is
Yi = ?iXi + ui
i.e., a regression through the origin (no intercept). Under the homoskedastic normal regression assumptions, the t-statistic will have a Student t distribution with n-1 degrees of freedom, not n-2 degrees of freedom, as was the case in Chapter 5 of your textbook. Explain. Do you think that the residuals will still sum to zero for this case?
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