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The "Transformations" dataset is a simulated dataset containing four pairs of variables (y1,x1), (y2, x2), (y3, x3), and (y4, x4). Each pair of variables is best modeled using linear regression with one of the following four models: a) Response variable y, predictor variable In(x) [natural logarithm] b) Response variable In(y), predictor variable X c) Response variable In(y), predictor variable In(x) d) Response variable y, predictor variables X and x2 Your task is to determine which model goes with each pair of variables. You should use each model exactly once. Include Minitab plots and output to support your conclusions.

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