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Linear Regression using Global Temperatures

Classroom/Laboratory Activity

A classroom/lab activity for Statistics teachers to teach about Linear Regression. This activity is based on a dataset on average global temperature anomalies from 1850 to 2019.

Students will learn about introductory linear regression techniques and will learn to make scatter plots of the data provided. This tool will allow the student to understand changes in the average global temperatures since the industrial revolution.

Use this tool to help your students find answers to:

  1. What is linear regression?
  2. Plot the average global temperature anomalies on a scatter plot.
  3. What are confidence intervals? What are the confidence interval slopes for global temperature at 25, 50, 100 and 150 years before 2019?
  4. How have human activities impacted average global temperatures since the Industrial
    revolution?
About Tool
Tool Name Global Temperature Anomalies
Discipline Mathematics and Statistics
Topic(s) in Discipline Linear regression, Scatter Plot, Confidence Interval, Introduction to Statistics
Climate Topic Climate Variability Record
Type of tool Classroom/Laboratory Activity
Grade Level High School, Undergraduate
Location Global
Language English
Translation      –
Developed by IPCC, Thomas J. Pfaff (Ithaca College)
Hosted at Sustainability Math
Link
Access Offline
Computer Skills Basic

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