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Suppose the Price, Y, Per Ton of Copper Can Be

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Suppose the price, y, per ton of copper can be modeled by Suppose the price, y, per ton of copper can be modeled by where the two predictor variables x<sub>1</sub> and x<sub>2</sub> are the prices per ton of zinc and lead, respectively. The least squares estimates are: Predict the response for x<sub>1</sub>= 2389 and x<sub>2</sub> = 2366. where the two predictor variables x1 and x2 are the prices per ton of zinc and lead, respectively. The least squares estimates are: Suppose the price, y, per ton of copper can be modeled by where the two predictor variables x<sub>1</sub> and x<sub>2</sub> are the prices per ton of zinc and lead, respectively. The least squares estimates are: Predict the response for x<sub>1</sub>= 2389 and x<sub>2</sub> = 2366.
Predict the response for x1= 2389 and x2 = 2366.

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