This is the latest in a series of baseball-themed lessons we’re calling FanGraphs Prep. In light of so many parents suddenly having their school-aged kids learning from home, we hope is that these units offer a thoughtfully designed, baseball-themed supplement to the school work your student might already be doing.
A four-day unit that uses strikeouts, walks, and home runs to describe relationships between variables and predictive logic.
Many statistics in baseball are inter-related. We examined the relationship between runs and wins a few weeks ago. Today, we’ll learn about a few more of these relationships and how to think predicatively about them.
- Make a hypothesis about the relationship between two variables
- Create a scatter plot using a dataset containing multiple variables
- Estimate and calculate a trend line
- Evaluate a hypothesis using data
- Describe the relationship between variables
Target Grade Level: 7-9
ERA, or earned run average, measures how many runs a pitcher gives up per nine innings. It’s measured in runs — the only thing this statistic cares about is how many innings a pitcher throws and how…