How Data Transformations Affect Analysis
Grade 12th Grade · Math · 60 min
What's Included
Learning Objective
I can analyze how different data transformations affect statistical analyses.
Warm-Up Video
Khan Academy · 2:55
Transforming nonlinear data | More on regression | AP Statistics | Khan Academy
Guided Notes
3 key concepts
- 1
When data appears non-linear, we can still apply linear regression tools by transforming the data.
- 2
In the video's example, plotting x versus log(y) reveals a linear pattern that can be analyzed using linear regression.
- 3
Transforming data allows us to use existing linear regression tools, and we can mathematically convert the model back to the original relationship.
Practice Questions
12 questions · Multiple choice & Short answer
Exit Ticket
Quick comprehension check
“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?”
Complete Lesson Package
Get all 3 ready-to-use resources:
