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(15 pts) A professor collects 50 independent and identically distributed observations of variables Y and X for a regression

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(15 pts) A professor collects 50 independent and identically distributed observations of variables Y and X for a regression. Her student wishes to use the same data to run the same regression but the student makes an error of entering each observation twice. That is the student enters observation 1 twice, observation 2 twice and so forth so that the student has a sample of 100. Which OLS assumption is violated if the student uses this data to run a regression? Suppose the student does run a regression, will the slope coefficients be different from the professor's regression?