16 Questions | Total Attempts: 43  Settings  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.

• 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 Back to top