How Data Transformations Affect Analysis
Learning Objective
I can analyze how different data transformations affect statistical analyses.
Lesson Flow
Watch Video
Transforming nonlinear data | More on regression | AP Statistics | Khan Academy
Khan Academy
Guided Notes
Key concepts students will learn:
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When data appears non-linear, we can still apply linear regression tools by transforming the data.
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In the video's example, plotting x versus log(y) reveals a linear pattern that can be analyzed using linear regression.
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Transforming data allows us to use existing linear regression tools, and we can mathematically convert the model back to the original relationship.
Practice
12 questions • Multiple choice & Short answer
Exit Ticket
“Explain how taking the logarithm of the y values in a dataset can allow you to apply linear regression techniques even when the relationship between x and y is not linear. Why might this be a useful approach?”
Teacher Guide
Get the complete package:
- Answer keys for all questions
- Differentiation strategies
- Extension activities
- Printable student handouts
