The Ordinary Least Squares (OLS) estimators for β0 and β1 in the y = β0 + β1X + e model are formulas derived by minimizing _____________. options: 1) the sum of the error terms or residuals 2) the sum of the squared residuals 3) the slope of the regression line 4) the fit of the regression line to the observed data.
Added by Carmen M.
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2) Minimizing the sum of the squared residuals is the objective of OLS regression. This is done to find the best-fitting line that minimizes the squared differences between the observed values and the predicted values. 3) Minimizing the slope of the regression Show more…
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