Question 24·Hard·Two-Variable Data: Models and Scatterplots
The scatterplot above shows the number of baskets of produce harvested each week during a 10-week growing season.
Which choice gives a quadratic equation that best models the data in the scatterplot?
For a scatterplot that looks quadratic, use a few high-value checkpoints instead of trying to match every point: (1) decide whether the parabola opens up or down, (2) check the ends of the data range to eliminate models with the wrong vertical shift, and (3) use the approximate peak (both its location and height) to choose the curvature that best matches the middle of the data.
Hints
Use the intercepts first
The point at week is near , and the point at week is also near . Check which equations give values near at and .
Then use the peak
After eliminating any equations that miss the ends, compare the remaining equations at the peak near (about baskets).
Don’t rely on just one checkpoint too early
If more than one equation matches one key point, use another key point (like the other end of the season or the maximum) to break the tie.
Desmos Guide
Enter the candidate equations
Type each option as a separate equation (for example, enter them as , , , and ).
Plot the scatterplot points in a table
Create a table with columns and , then enter the points from the scatterplot (weeks and baskets) so Desmos shows the same set of dots.
Compare overall closeness
Turn on all four graphs and look for the equation whose curve stays closest to the dots throughout the season (especially near week , week , and the peak around week ).
Step-by-step Explanation
Use key features from the scatterplot
From the scatterplot:
- The harvest increases and then decreases, so a quadratic model should open downward (a negative coefficient).
- The harvest is about baskets at week and also about baskets at week .
- The maximum occurs near week and is about baskets.
Check the value at week 0
At , the model value is the constant term.
The last equation starts too high compared with the point near , so eliminate it.
Check the value at week 10
The scatterplot is also near baskets at week .
Evaluate the remaining equations at :
-
For :
-
For :
-
For :
The second equation gives at week , which is too high, so eliminate it.
Use the peak near week 5 to choose between the finalists
Now compare the two remaining equations at , where the scatterplot peaks near baskets:
-
For :
-
For :
The first equation matches the peak much more closely, so the best model is: