Question

In a simple linear regression model Y = β0 + β1X + u, the Ordinary Least Squares (OL

  • S estimator is "best" because it:
A Minimizes the sum of the residuals.
B Minimizes the sum of the absolute residuals.
C Minimizes the sum of the squared residuals.
D Maximizes the R-squared value.
E Ensures residuals sum to zero.
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