Question: Suppose we are given n data points {(x_i, y_i)}_{i = 1}^n, which we assume to be generated y_i = _0 + _1x_i + where dist(0,

Suppose we are given n data points {(x_i, y_i)}_{i = 1}^n, which we assume to be generated y_i = _0 + _1x_i + where dist(0, ^2). Now suppose the data was fit using linear regression by minimizing RSS (least squares), resulting in the two estimated parameters

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