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:
- What is linear regression?
- Plot the average global temperature anomalies on a scatter plot.
- What are confidence intervals? What are the confidence interval slopes for global temperature at 25, 50, 100 and 150 years before 2019?
- How have human activities impacted average global temperatures since the Industrial revolution?
About the Tool
|Tool Name||Global Temperature Anomalies|
|Discipline||Mathematics and Statistics|
|Topic(s) in Discipline||Linear regression, Scatter Plot, Confidence Intervals|
|Climate Topic||Climate Variability Record|
|Type of Tool||Activity|
|Grade Level||High School, Undergraduate|
|Developed by||IPCC, Thomas J. Pfaff (Ithaca College)|
|Hosted at||Sustainability Math|