(d) Develop the estimated regression equation by computing the values of b_0 and b_1 using b_1 = ?(x_i - x?)(y_i - y?) / ?(x_i - x?)² and b_0 = y? - b_1x?. ? = (e) Use the estimated regression equation to predict the value of y when x = 2.
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b1 = Σ[(xi - X)(Yi - Y)] / Σ(xi - X)² bo = Y - b1 * X Once we have the values of b1 and bo, we can write the estimated regression equation as: Y = bo + b1 * x Show more…
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