AP Statistics · Topic 2.4
Representing the Relationship Between Two Quantitative Variables Practice
Part of Exploring Two-Variable Data.(DAT-1.A)
Practice questions
10
Sample questions
5 of 10 — sign in to practice the rest with adaptive difficulty and mastery tracking.
Sample 1difficulty 1/5
The scatterplot shows demand vs price.
The association is best described as:
- A
Weak and curved
- Bcheck_circle
Strong, negative, linear
- C
No association
- D
Strong, positive, linear
Why
As price increases, demand decreases in a tight straight pattern.
- A
Sample 2difficulty 1/5
A researcher uses height to predict weight.
Which placement is correct?
- Acheck_circle
Height is the explanatory variable on the x-axis; weight is the response on the y-axis
- B
Weight on x; height on y
- C
Both on the y-axis
- D
Both on the x-axis
Why
Explanatory (predictor) goes on x; response (predicted) goes on y.
- A
Sample 3difficulty 1/5
A scatterplot displays
- A
Two categorical variables
- Bcheck_circle
Two quantitative variables
- C
One quantitative variable
- D
A time series only
Why
Scatterplots show the relationship between two quantitative variables.
- A
Sample 4difficulty 2/5
The scatterplot shows distance vs time for a runner.
Approximately how many miles correspond to 6 hours?
- Acheck_circle
30
- B
20
- C
40
- D
10
Why
At x = 6 hours the y-value is 30 miles per the gridlines.
- A
Sample 5difficulty 2/5
A teacher records hours studied and test scores for nine students.
Which best describes the association shown?
- A
No association
- B
Weak, positive, nonlinear
- C
Strong, negative, linear
- Dcheck_circle
Strong, positive, linear
Why
Points rise from lower-left to upper-right in a tight straight band, indicating a strong positive linear association.
- A