Question: Yi=0+1xi+ui,i=1,,nwhere 1. The error term ui has conditional mean zero given Xi:E(uiXi)=0; 2. (Xi,Yi),i=1,,n, are independent and identically distributed (i.i.d.) draws from their joint distribution;

Yi=0+1xi+ui,i=1,,nwhere 1. The error term ui has conditional mean zero given Xi:E(uiXi)=0; 2. (Xi,Yi),i=1,,n, are independent and identically distributed (i.i.d.) draws from their joint distribution; and 3. Large outliers are unlikely: Xi and Yi have nonzero finite fourth moments. Assuming this year's class is a typical representation of the same class in other years, are OLS assumption (2) and (3) satisfied? A. Neither OLS assumption #2 nor OLS assumption #3 is satisfied. B. Only OLS assumption #2 is satisfied. C. Only OLS assumption #3 is satisfied. 'D. Both OLS assumption #2 and OLS assumption #3 are satisfied. The estimated regression is Yi=41+0.25Xi Compute the estimated regression's prediction for the average score of students given 96,121 , or 160 minutes to complete the exam. Given 96 minutes, the estimated regression's prediction for the average score of students is Given 121 minutes, the estimated regression's prediction for the average score of students is Given 160 minutes, the estimated regression's prediction for the average score of students is (Round your responses to two decimal places.)
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