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Predicting wins (revisited). a) Read in the baseball data set from Homework 4. b) Fit a linear regression model to predict Wins using HRs. c)
Predicting wins (revisited). a) Read in the baseball data set from Homework 4. b) Fit a linear regression model to predict Wins using HRs. c) Calculate the Cook's Distance for each point and plot it. d) Which points have a high Cook's Distances? e) Remove any influential points and fit a new model. f) Plot wins vs HRs. Include your regression lines from (b) and (e) on the graph, with a solid line for the first model and a dashed line for the second. g) Rather than dropping points, what other course of action would you recommend taking in this case
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