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.
Use this lesson plan to help your students find answers to:
- Use an example to describe linear regression analysis.
- Is the extent of the Arctic Sea Ice decreasing since 1979?
- Has the monthly extent of Arctic Sea Ice changed from 1979- 2017?
- Discuss the Ice Albedo Feedback and Global Warming to explain the differences in extent of Arctic Sea Ice over the past four decades.
About Lesson Plan
|Grade Level||High school, Undergraduate|
|Topic(s) in Discipline||Scatter Plots, Correlation Coefficients, Regression Equations, Linear Regression, Residual (Outlier) Plots|
|Climate Topic||Climate and the Cryosphere
Climate Variability Record
(25 -30 min)
|A teaching module to explain the basics of scatter plots, correlation coefficients, regression equations, and linear regression with residual (outlier) plots.
This can be accessed here:
|Classroom/ Laboratory activity
|A classroom activity to apply understanding of linear regression using datasets of the extent of Arctic Sea Ice (1979-2017).|
|Visualization (5 min)||An interactive visualization of changes in the extent of Arctic Sea Ice from 1979-2020|
Here is a step-by-step guide to using this lesson plan in the classroom/laboratory. We have suggested these steps as a possible plan of action. You may customize the lesson plan according to your preferences and requirements.
|1||Topic introduction and discussion||1. Use the teaching module, ‘Introduction-Linear Regression and Correlation’ by OpenStaxTM, Rice University (for High School level) or ‘Chapter-3: Linear Regression’ provided by Ramesh Sridharan, Massachusetts Institute of Technology (for Undergraduate level), to introduce these topics of basic statistics.
2. Navigate to the sub-sections within the module to the basics of scatter plots, correlation coefficients, regression equations, and linear regression.
3. Use the in-built practice exercises and quizzes to evaluate your students’ understanding of the topics.
|2||Develop the topic further||
Go to the Activity Arctic Ice Data
|3||Extend understanding||Use the visualization, ‘Charctic Interactive Sea Ice Graph’ from NSIDC to encourage discussion amongst your students about the changes in the extent of Arctic Sea Ice from the years 1979-2020. Discuss how these changes could be the result of changes in the Earth’s climate in recent times.
Go to the visualization, ‘Charctic Interactive Sea Ice Graph’