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Suppose we have a data set (x1,y1),(x2,y2),,(xn,yn). Consider two different linear models
yi=+xi+i and yi=+(1+xi)+i, where ,,, are unknown parameters. Compare the residual sum of
squares for the two models. Justify your answer.

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  • 1. Suppose we have a data set (x1,y1),(x2,y2),,(xn,yn). Consider two different linear models yi=+xi+i and yi=+(1+xi)+i, where ,,, are unknown parameters. Compare the residual sum of squares for the two models. Justify your answer.