Refer to the previous exercise. (a) Using size as a straight-line predictor, r2 = 0.695, whereas R2
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Refer to the previous exercise.
(a) Using size as a straight-line predictor, r2 = 0.695, whereas R2 = 0.704 for the quadratic model. Is the degree of nonlinearity major, or minor? Is the linear association strong, or weak?
(b) Test whether the quadratic model gives a significantly better fit than the straight-line model. Interpret.
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