# 2667 Are You Generic Ready?

16 Questions | Attempts: 123

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