Question 38 (4 points) To calculate Y_i - the Observed DV - from ?_i, the predicted DV, what needs to be added to the following regression equation? ?_i = ? + ? X_i ? Another beta coefficient ? Squared Error for every observation ? Error (ei) for every observation ? Another alpha coefficient Question 39 (4 points) OLS (Ordinary Least Squares) finds a regression line that: ? Minimizes sum of errors (i.e., minimizes ? ei) ? Minimizes sum of squared errors (i.e., minimizes ? ei^2) ? Maximizes sum of squared errors (i.e., maximizes ? ei^2) ? Maximizes sum of errors (i.e., maximizes ? ei)
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The regression equation is given as Y = β0 + βXi. To get the observed DV, we need to add the error term (ei) for every observation. So, the answer is: $\boxed{\text{Error (ei) for every observation}}$ Show more…
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