16 Questions
| Attempts: 123

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