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Home run!

Regression to the mean is an important concept in many areas, including sports.

Here you can see a dataset of baseball batting data in 2017 and 2018. Each point represents a player, and more home runs is better. A naive prediction might be that the performance in 2018 would be that it is the same as the performance in 2017. That is, a linear regression would lie on the "y equals x" line.

Explore the plot and make predictions. What does regression to the mean say about the number of home runs in 2018 for a player who was very successful in 2017?

This exercise is part of the course

Introduction to Regression in R

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