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 for performing this task is optimal by the Gauss-Markov theorem. (10[1]-5[1])Binary classification problems are solved using the “logistic” (10[3])form of this task. (10[2])A form of this task seeks to minimize the sum of squared residuals. The quantity r-squared signifies the 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 (10[1])involves finding a line (10[1])of best fit. ■END■ (10[1])