Transforming Nonlinear Data: Steps & Examples


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question 1 of 3

What is it called when data is curved, but does not change?

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1. In order to transform nonlinear data, the data must be both _____ and _____.

2. What is it called when data is always positive or always negative?

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About This Quiz & Worksheet

With the help of this quiz and attached worksheet, you can test and strengthen your understanding of the steps for transforming nonlinear data. The quiz will assess you on topics like the different types of transformations and when to use them.

Quiz & Worksheet Goals

These assessments can be used to meet these learning goals:

  • Know which data type that is curved but does not change
  • Understanding the prerequisites for being able to transform nonlinear data
  • Knowing what it means when the data is either always positive or negative
  • Identify what transformation works best with negative slopes
  • Using the square root model to transform a given data set

Skills practiced

This worksheet can also be used to practice:

  • Reading comprehension - ensure that you draw the most important information from the related lesson on transformations and how to use them properly
  • Critical thinking - apply relevant concepts to examine information about simple nonlinear data and monotone linear data in a different light
  • Interpreting information - verify that you can read information regarding how to use different models for transforming nonlinear data and interpret it correctly
  • Knowledge application - use your knowledge to answer questions about the steps for transforming nonlinear data

Additional Learning

Want to learn more about transformations that involve nonlinear data? Please review the lesson called Transforming Nonlinear Data: Steps, Examples & Quiz, which covers the following objectives:

  • Understand transformations
  • Using transformations to alternate nonlinear data into making predictions
  • Knowing when to use the various types of transformations