When performing this task, a large Durbin-Watson statistic indicates an underestimation of statistical significance. If a set of values generated by this task have covariance zero, are mean zero, and are homoscedastic, then a method (10[1])for performing this task is optimal by the Gauss-Markov theorem. Binary classification problems are solved using the “logistic” form of this task. (10[1])A form of this task seeks to minimize the sum of squared (10[1])residuals. (-5[1])The quantity (-5[1])r-squared (10[1])signifies (10[1])the (10[1])effectiveness of a form of this task applied to data with a single independent variable. For 10 points, name this task in statistics whose “linear” type involves (10[1])finding a line of best fit. (10[1])■END■ (10[1])