2464 Scatter Plots Calculating Residuals

12 Questions | Total Attempts: 137

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2464 Scatter Plots Calculating Residuals

Testing the assumption of linearity, and calculating residuals.


Questions and Answers
  • 1. 
    Using Data Set 1, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 2. 
    Using Data Set 2, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 3. 
    Using Data Set 3, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 4. 
    Using Data Set 4, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 5. 
    Using Data Set 5, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 6. 
    Using Data Set 6, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 7. 
    Using Data Set 7, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 8. 
    Using Data Set 8, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 9. 
    Using Data Set 10, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 10. 
    Using Data Set 11, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 11. 
    Using Data Set 12, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 12. 
    Using Data Set 21, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 13. 
    Using Data Set 22, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 14. 
    Using Data Set 22, and checking the residual plot, is the assumption of linearity correct in this instance? 
    • A. 

      Yes

    • B. 

      No

  • 15. 
    Please fill answer below_______
  • 16. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 161cm tall?
  • 17. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 165cm tall?
  • 18. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 168cm tall?
  • 19. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 172cm tall?
  • 20. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 173cm tall?
  • 21. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 175cm tall?
  • 22. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 178cm tall?
  • 23. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 181cm tall?
  • 24. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 186cm tall?
  • 25. 
    The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players. Using the linear regression line, what is the residual to the nearest kg for the player who is 187cm tall?
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