How Data Transformations Affect Analysis
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Objective
I can analyze how different data transformations affect statistical analyses.
Part 1 of 4
Warm-up video
Khan Academy · 2:55Vetted channel
We don't generate video — this one is by Khan Academy on YouTube. The practice questions and exit ticket below were drafted by AI for this objective, and every question is editable in the teacher guide.
Part 2 of 4
Key concepts
3 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.
Part 3 of 4
Practice
12 questions
Why might a researcher choose to transform data before performing a regression analysis?
In the video, which transformation was applied to the data?
Part 4 of 4
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?”
Sample answer included in the free materials
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