A teaching module that demonstrates the use of linear and quadratic regression to analyze Arctic sea ice extent data and the use of graphs, sample correlations, and multiple regression to analyze atmospheric CO2 level data, solar irradiance data, and average global temperature data.
In the first example, the tool describes how students can use linear and quadratic regression for data from 1979 to 2012 to determine trends in the decline of September Arctic sea ice extent.
In the second example, the tool describes how students can use statistical methods such as graphs, sample correlations, and multiple regression to determine the relationship between average global temperature, solar irradiance, and atmospheric CO2 levels for data from 1979 to 2010.
Use this tool to help your students find answers to:
|Using Data from Climate Science to Teach Introductory Statistics
|Mathematics and Statistics
|Topic(s) in Discipline
|Introduction to Statistics, Linear Regression, Multiple Regression, Graphs, Correlation
|Climate and the Cryosphere, Climate and the Atmosphere
|Type of tool
|Arctic Ocean, Global
|Gary Witt, Temple University
|Journal of Statistics Education