July 28, 2021

FanGraphs Prep: Strikeouts, ERA, and the Relationship Between Variables (FanGraphs)

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.

Learning Objectives:

  • 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

Daily Activities

Day 1
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…

Read “FanGraphs Prep: Strikeouts, ERA, and the Relationship Between Variables” at FanGraphs