2667 Are You Generic Ready?

16 Questions | Attempts: 123

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2667 Are You Generic Ready? - Quiz

These questions relate to the Generic Statement sheet, where 11 generic statements are provided to cover the types of questions asked. The sheet is available online in Learning Areas - It is called Transformation Crash Course.


Questions and Answers
  • 1. 
    A transformed line is always more accurate than a linear regression line.
    • A. 

      True

    • B. 

      False

  • 2. 
    A linear regression line only requires a transformation if the residual plot has a pattern
    • A. 

      True

    • B. 

      False

  • 3. 
    If the residual plot of a regression line has a pattern, one of our six tranformations will linearise it.
    • A. 

      True

    • B. 

      False

  • 4. 
    The purpose of a transformation is to:
    • A. 

      Linearise the data

    • B. 

      Make predictions more accurate

    • C. 

      Determine the quadrant we need to use

    • D. 

      Take on the Decepticons at their own game

    • E. 

      Linearise the residual plot

  • 5. 
    Above is a residual plot for a y vs x scatterplot. Which generic statement would best describe the above residual plot?
  • 6. 
    Above is a residual plot for a y vs x scatterplot. Which generic statement would best describe the above residual plot?
  • 7. 
    Above is a residual plot for a transformation. Which generic statement would best describe the above residual plot?
  • 8. 
    Above is a residual plot for a transformation, which has been identified to have the highest coefficient of determination. Which generic statement would best describe the above residual plot?
  • 9. 
    Above is a residual plot for a transformation. Which generic statement would best describe the above residual plot?
  • 10. 
    Above is a residual plot for a transformation where the original data was in quadrant 4. Which generic statement would best describe the above residual plot?
  • 11. 
    The above data is from Page 1.3, showing a non-linear data set. We are trying to predict the value y when x = 15. Which generic statement best describes the accuracy of the prediction?
  • 12. 
    I have a set of data with values ranging rom 5 to 20. The residual plot is random and has a high coefficient of determinaion. We are trying to predict the value y when x = 15. Which generic statement best describes the accuracy of the prediction?
  • 13. 
    I have a set of data with values ranging rom 5 to 20. The residual plot is random and has a high coefficient of determinaion. We are trying to predict the value y when x = 21. Which generic statement best describes the accuracy of the prediction?
  • 14. 
    The above data is from Page 1.3, showing a non-linear data set. We are trying to predict the value y when x = 30. Which generic statement best describes the accuracy of the prediction?
  • 15. 
    A linear regression line is always more accurate than a transformation because it uses the original data
    • A. 

      True

    • B. 

      False

  • 16. 
    When a linear regression shows the original data is non-linear, the equation for a transformation will give a more accurate prediction if :
    • A. 

      We are finding extrapolated values

    • B. 

      We are finding interpolated values

    • C. 

      The residual plot for the transformation is random

    • D. 

      The residual plot of the transformation is non-random

    • E. 

      The transformation has a high coefficient of determination

    • F. 

      The transformation is in quadrant 3

    • G. 

      The Transformer was being distracted by Megan Fox

    • H. 

      The equation for the regression line is used

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