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Teaching Linear Regression using Global Temperature Anomalies 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 a linear regression assignment. The lesson plan includes a hands-on computer-based classroom activity to be conducted on a dataset of Global Temperature Anomalies (1850-2017). 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, linear regression, and confidence intervals for slopes.

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 and confidence intervals of slopes of regression lines to describe global temperature anomalies from pre-industrial to recent times (1850-2017)
  4. discuss how these changes suggest that the planet has warmed significantly since the beginning of the industrial age


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