Activity Overview
This lesson involves three real-world data sets in which the relationship between each pair of variables is non-linear. Students will be asked to describe the original relationship between each pair of variables, and observe how each transformation is used to achieve a linear relationship.
Objectives
- Students will understand how various data transformations can be used to achieve a linear relationship and, consequently, how to use the methods of linear regression to obtain a line of best fit.
- Students will use various calculator regression functions in order to model the relationship between two variables.
- Students will convert a linear regression equation back to a non-linear equation to model the relationship between two variables.
Vocabulary
• transformation
• linear regression
• exponential regression
• power regression
• logarithmic regression
About the Lesson
This lesson involves three real-world data sets in which the relationship between each pair of variables is non-linear.
As a result, students will:
- Learn how data transformations may be used to achieve a linear relationship.
- Learn how to use several calculator regression functions to model the relationship between two variables.
- Learn how to convert a linear regression equation back to a non-linear equation.