AP Statistics 5.1 Scatterplots Overview
Describe and compare scatterplots using form, direction, strength, and unusual features, then justify claims in context.
- Syllabus
- Effective Fall 2025
- Course
- AP Statistics
Describe and compare scatterplots using form, direction, strength, and unusual features, then justify claims in context.
Natural gas is used in some households to heat the home, to heat the water, and to cook. A utility company sent the following bar chart to a household to show the amount of natural gas, measured in therms (a unit of heat energy), that the household used last year. The chart shows the number of therms and the average monthly temperature, in degrees Fahrenheit, for each month of the year.
Month and Average Monthly Temperature

Construct a graph showing therm use versus average monthly temperature.

Use a correctly labeled scatterplot of the twelve temperature–therm pairs.

Describe what the scatterplot reveals that the bar chart does not.
There is a strong, negative, somewhat curved relationship: colder months use more therms.
A biologist gathered data on the length, in millimeters (mm), and the mass, in grams (g), for 11 bullfrogs. The data are shown in Plot 1.

From the data, the biologist calculated the least-squares regression line for predicting mass from length. The least-squares regression line is shown in Plot 2.

Official question visual
Based on the scatterplot, describe the relationship between mass and length, in context.
The scatterplot reveals a strong, positive, roughly linear association between the mass and length of bullfrogs. There are no points that seriously deviate from the straight-line pattern of the points in the plot.
Essentially correct (E) if the response provides
a description that includes at least three of
components 1-4 and component 5:
1. Direction of association (positive or
increasing)
3. Form of association (linear or approximately
linear)
4. Unusual features (no points with large
discrepancies from the pattern (straight line) exhibited by most of the points on the plot)
5. Context (association between length and mass of bullfrogs)
Partially correct (P) if the response satisfies only one or two components out of components 1-4 and component 5
OR
if the response satisfies at least three out of
components 1-4 but does not satisfy
component 5.
Incorrect (I) if the response does not meet the
criteria for E or P.
Additional Notes:
- To satisfy component 4, it is sufficient to simply indicate that there are no unusual features.
- To satisfy component 5, it is minimally sufficient for the response to refer to the association or relationship between mass and length without explicitly mentioning bullfrogs.
- The strength of the response in part (a) may be considered if holistic scoring is needed.
Model Solution
Scoring
Attendance at games for a certain baseball team is being investigated by the team owner. The following boxplots summarize the attendance, measured as average number of attendees per game, for 47 years of the team's existence. The boxplots include the 30 years of games played in the old stadium and the 17 years played in the new stadium.
Compare the trends in average attendance over time between the old and new stadium.
Model Solution
In the new stadium years, average attendance increases over time, from about 16,000 in 2000 to about 27,000 in 2016. During the old stadium years, there is no obvious increasing or decreasing trend; average attendance varies around roughly 16,000 from 1970 to 1999.
Essentially correct (E) describes the positive new-stadium trend, the relatively flat old-stadium trend (or a less steep positive trend), and identifies stadium, year, and attendance in context.
Consider the following scatterplots.
Graph I shows the average attendance versus number of games won for each year. Describe the relationship between the variables.
Model Solution
Graph I shows a strong, positive, approximately linear relationship between average attendance and games won. Attendance increases by about 500 people per game for each additional win, with relatively small scatter around the trend.
Scoring components for part (c)
1. Positive direction.
2. Linear or nearly linear form.
3. Strong or moderately strong relationship.
Graph II shows the same information as Graph I, but also indicates the old and new stadiums. Does Graph II suggest that the rate at which attendance changes as number of games won increases is different in the new stadium compared to the old stadium? Explain your reasoning.
Model Solution
No. Graph II suggests that attendance increases at about the same rate with wins in the two stadiums. A fitted line through the old-stadium points would have roughly the same slope as, or a slightly greater slope than, a fitted line through the new-stadium points.
Scoring components for part (c)
4. Indicates approximately equal rates, or a slightly greater old-stadium rate.
5. Justifies this by comparing the slopes of lines through the two groups.