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Teaching Linear Regression using Arctic Sea Ice Data


As a high school or undergraduate Mathematics teacher, you can use this set of computer-based tools to help you in teaching introductory statistics and specifically linear regression.

This lesson plan will allow you to teach introductory statistics through linear regression assignments. The lesson plan includes a hands-on computer-based classroom activity to be conducted on datasets of Arctic Ice Data (1979-2017). This activity includes a set of inquiry-based questions that will enable your students to apply their understanding of scatter plots, regression equations, correlation coefficients, regression lines, and linear regression with residual (outlier) plots.

Thus, the use of this lesson plan allows you to integrate the teaching of a climate science topic with a core topic in Mathematics.

Learning Outcome

The tools in this lesson plan will enable students to:

  1. Learn about linear regression and correlation
  2. Understand linear regression equations and related terms such as correlation coefficients
  3. Use linear regression analyses to describe changes in the extent of Arctic Sea Ice from monthly datasets (1979-2017)
  4. Discuss how these changes are related to ice albedo effects and global warming


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