2612 Scatter Plot Transformation Squared
X and y squared transformations
- 1.The y squared transformation linearises the scatter plot by?
- A.
Squaring the y axis values
- B.
Stretching the y axis value
- C.
Squaring the x axis values
- D.
Stretching the x axis value
- 2.The x squared transformation linearises the scatter plot by?
- A.
Squaring the y axis values
- B.
Stretching the y axis value
- C.
Squaring the x axis values
- D.
Stretching the x axis value
- 3.
The scatter plot above will potentially be linearised with :- A.
X squared transformation
- B.
Y squared transformation
- C.
It is is the wrong quadrant for these transformations
- 4.
The scatter plot above will potentially be linearised with :
- A.
X squared transformation
- B.
Y squared transformation
- C.
It is is the wrong quadrant for these transformations
- 5.
The scatter plot above will potentially be linearised with :
- A.
X squared transformation
- B.
Y squared transformation
- C.
It is is the wrong quadrant for these transformations
- 6.
The scatter plot above will potentially be linearised with :
- A.
X squared transformation
- B.
Y squared transformation
- C.
It is is the wrong quadrant for these transformations
- 7.Which quadrants have potential for an x squared transformation
- A.
Quadrant 1
- B.
Quadrant 2
- C.
Quadrant 3
- D.
Quadrant 4
- 8.Which quadrants have potential for a y squared transformation
- A.
Quadrant 1
- B.
Quadrant 2
- C.
Quadrant 3
- D.
Quadrant 4
- 9.
The residual plot above shows the original data is potentially from which quadrants
- A.
Quadrant 1
- B.
Quadrant 2
- C.
Quadrant 3
- D.
Quadrant 4
- 10.
The residual plot above shows the original data is potentially from which quadrants
- A.
Quadrant 1
- B.
Quadrant 2
- C.
Quadrant 3
- D.
Quadrant 4
- 11.
The residual plot above shows the original data can potentially be linearised with :
- A.
X squared transformation
- B.
Y squared transformation
- C.
It can't be linearised with a squared transformation
- 12.
The residual plot above shows the original data can potentially be linearised with :
- A.
X squared transformation
- B.
Y squared transformation
- C.
It can't be linearised with a squared transformation
- 13.
The residual plot above shows the original data can potentially be linearised with :
- A.
X squared transformation
- B.
Y squared transformation
- C.
It can't be linearised with a squared transformation
- 14.The squared transformations are not applicable in which quadrant?
- A.
Quadrant 1
- B.
Quadrant 2
- C.
Quadrant 3
- D.
Quadrant 4
- E.
They work in all quadrants
- 15.
The image above is a transformer from :
- A.
Quadrant 1
- B.
Quadrant 2
- C.
Quadrant 3
- D.
Quadrant 4
- E.
Get a grip, Mr Nunan!
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