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y = 1.2425x + 0.414 . In(points) d In(personal fouls) 4. Use the transformed data to create a good power-function model (y = Ax?) for

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y = 1.2425x + 0.414 . In(points) d In(personal fouls) 4. Use the transformed data to create a good power-function model (y = Ax?) for the relation between personal fouls and points scored for WNBA players. Show your work. y= Ax InA = 0.414 Y = 1. 51 X1. 242 5- P = 1. 2425 A = 20. 414 Y = 0 .4 14 x 1. 24 2 5 5. Imagine that a WNBA player commits 80 personal fouls in a season. Judging from your model built with the 2019 data, how many points would you expect her to make? Looking at the graph of points versus personal fouls, does this prediction seem reasonable? Explain briefly how you are making your judgment

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