2614 Scatter Plot Transformations Logs

15 Questions | Total Attempts: 268

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Scatter Plot Quizzes & Trivia

Log x and log y transformations


Questions and Answers
  • 1. 
    The log y transformation linearises the scatter plot by :
    • A. 

      Turning the y values into log y values

    • B. 

      Compressing the y axis values

    • C. 

      Stretching the y axis values

    • D. 

      Leaving the x axis values the same

  • 2. 
    The log x transformation linearises the scatter plot by :
    • A. 

      Changing the x values to log x values

    • B. 

      Compressing the x axis values

    • C. 

      Stretching the x axis values

    • D. 

      Leaving the y values as they are

  • 3. 
    The scatter plot above will potentially be linearised with :
    • A. 

      Log x transformation

    • B. 

      Log y transformation

    • C. 

      It is is the wrong quadrant for these transformations

  • 4. 
    The scatter plot above will potentially be linearised with :
    • A. 

      Log x transformation

    • B. 

      Log y transformation

    • C. 

      It is is the wrong quadrant for these transformations

  • 5. 
    The scatter plot above will potentially be linearised with :
    • A. 

      Log x transformation

    • B. 

      Log y transformation

    • C. 

      It is is the wrong quadrant for these transformations

  • 6. 
    The scatter plot above will potentially be linearised with :
    • A. 

      Log x transformation

    • B. 

      Log y transformation

    • C. 

      It is is the wrong quadrant for these transformations

  • 7. 
    Which quadrants have potential for a log x transformation
    • A. 

      Quadrant 1

    • B. 

      Quadrant 2.

    • C. 

      Quadrant 3

    • D. 

      Quadrant 4

  • 8. 
    Which quadrants have potential for a log y transformation
    • A. 

      Quadrant 1.

    • B. 

      Quadrant 2

    • C. 

      Quadrant 3

    • D. 

      Quadrant 4

  • 9. 
    The residual plot above shows the original data is potentially from which quadrants
    • A. 

      Quadrant 1

    • B. 

      Quadrant 2

    • C. 

      Quadrant 3

    • D. 

      Quadrant 4

  • 10. 
    The residual plot above shows the original data is potentially from which quadrants
    • A. 

      Quadrant 1

    • B. 

      Quadrant 2

    • C. 

      Quadrant 3

    • D. 

      Quadrant 4

  • 11. 
    The residual plot above shows the original data can potentially be linearised with :
    • A. 

      Log x transformation

    • B. 

      Log y transformation

    • C. 

      It can't be linearised with a log transformation

  • 12. 
    The residual plot above shows the original data can potentially be linearised with :
    • A. 

      Log x transformation

    • B. 

      Log y transformation

    • C. 

      It can't be linearised with a log transformation

  • 13. 
    The residual plot above shows the original data can potentially be linearised with :
    • A. 

      X squared transformation

    • B. 

      Y squared transformation

    • C. 

      It can't be linearised with a log transformation

  • 14. 
    The log transformations are not applicable in which quadrant
    • A. 

      Quadrant 1

    • B. 

      Quadrant 2

    • C. 

      Quadrant 3

    • D. 

      Quadrant 4

    • E. 

      They work in all quadrants.

  • 15. 
    The image above is a transformer in Bubble Bee form from :
    • A. 

      Quadrant 1

    • B. 

      Quadrant 2

    • C. 

      Quadrant 3

    • D. 

      Quadrant 4

    • E. 

      It wasn't funny the first time!

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