**Name** |
**Description** |

"r" you ready to study correlation? | In this lesson students will determine whether their is a relationship between two variables through a Perspectives Video and real-life examples. Students will learn about confounding variables and investigate why correlation does not imply causation. |

Correlation or Causation: That is the question | Students will learn how to analyze whether two events/properties demonstrate a correlation or causation or both. They will learn what factors are involved when evaluating whether or not correlated events demonstrate causation. If two events are claimed to be causal when they are not, they will be able to determine why and which (if any) causal fallacies are present. At the close of the lesson students will be given situational data and develop a newscast that assumes causation when in fact there is no causal link. Students who are observing will analyze each presentation and determine which (if any) causal fallacy was used (or explain why the newscast is correct in their assumption of causality). |

Heart Rate and Exercise: Is there a correlation? | In this lesson, Algebra 1 students will use supplied heart rate data to determine if heart rate and the amount of time spent exercising each week are correlated. Students will create their own scatter plots and lines of best fit for the data and study correlation using GeoGebra. Students will gather evidence to support or refute statistical statements made about correlation. The lesson provides easy to follow steps for using GeoGebra, a free online application, to generate a correlation coefficient for two given variables. |

Height vs. Shoe Size | This resource provides a single 50-minute period introductory lesson on Correlation, the Correlation Coefficient, and Correlation vs. Causation. The lesson is structured around collecting data from a survey at the beginning of class to be used in creating scatter plots and analyzing them using technology. Students engage in discussion activities that challenge their thoughts on linked variables in the media. |

Is Milk Killing People? | Students will explore correlation and causation from data through class discussions of real world examples. They will know positive, negative, strong, and weak correlation. Students make predictions regarding feasibility of causation by analyzing graphs and scatter plots of data.
Students will participate in an experiment where they will generate and analyze their own data. They will come to conclusion regarding variations in data, correlation and causation. Students are encouraged to explain and justify their responses. Teacher will facilitate discussion of leading question to be geared towards the learning objectives.
During the lesson, students will be assessed by several formative assessments and a summative assessment at the conclusion. The lesson includes the a worksheet and data collection sheets to be concluded. |

Smarter than a Statistician: Correlations and Causation in the Real World! | Using Cornell Notes and a PowerPoint Presentation, students will learn to distinguish between correlation and causation. They will build their skills by playing two interactive digital games that are included in the lesson. The lesson culminates with a research project that requires students to find and explain the correlation between two real world events. |

What's So Funny About Correlation? | Students investigate correlation and causation through the medium of cartoons. Students construct arguments in favor of and against causal relationships between two strongly correlated events and decide which one is more reasonable. Students create cartoons representing the idea that correlation does not imply causation. |