Turn up the heat! Young mathematicians develop models to represent different climates and collect temperature data. They analyze the data with regression and residual applications. Using that information, they make conclusions about causation and correlation.

Concepts

correlation coefficient, cause and effect, correlation, data analysis, residuals

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Additional Tags

math

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Instructional Ideas

• Recruit the science department to create an interdisciplinary lesson

Classroom Considerations

• Requires a specific set of materials and time for set up
• Requires proficiency with creating scatterplots, preferably with technology

Pros

• Learners collect and analyze  their own data, which increases relevance and interest
  
• Includes important background knowledge for both students and teachers

Cons

• None

Common Core

HSS-ID.B.6.a HSS-ID.B.6.b HSS-ID.C.8 HSS-ID.C.9 MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8