78 Questions
| Attempts: 239

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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