Question 48·Hard·Two-Variable Data: Models and Scatterplots
A researcher recorded the values of two variables, and , as shown.
| 1 | 200 |
| 2 | 140 |
| 3 | 98 |
| 4 | 68.6 |
| 5 | 48.0 |
| 6 | 33.6 |
Which type of function model best describes the relationship between and ?
For SAT questions asking which function type best models data in a table, quickly test simple patterns: first, compute or estimate the differences between consecutive y-values to see if they are roughly constant (linear). If not, check whether the ratios of consecutive y-values are roughly constant (exponential). If neither fits, consider whether second differences are constant (quadratic) or whether the change slows in a way that suggests a logarithmic pattern. Use mental math or quick scratch work— you usually need only 2–3 pairs to spot the pattern and match it to the correct model.
Hints
Focus on how y changes
Look at how the y-values change as x increases from to , to , and so on. Are those changes similar in size, or do they shrink in a consistent way?
Try both differences and ratios
Compute the differences between consecutive y-values (like and ). Then also compute the ratios (like and ). Which one looks more consistent across the table?
Use a couple of specific pairs
Compare and . If those two numbers are very close, what does that tell you about how the data are changing from one point to the next?
Desmos Guide
Enter the data as a table
In Desmos, create a table and enter the x-values in the first column and the corresponding y-values in the second column. This lets you see the plotted points.
Check differences to test for a straight-line pattern
In a new expression line, type the differences between consecutive y-values, for example: 140-200, 98-140, 68.6-98, 48-68.6, 33.6-48. Look at the outputs and see whether they are all the same number or changing.
Check ratios to see if a constant factor fits the data
In another expression line, type the ratios of consecutive y-values, such as 140/200, 98/140, 68.6/98, 48/68.6, 33.6/48. Examine whether these values are all close to the same number; if they are, that tells you the data follow a repeated-multiplication pattern and helps you choose the correct model type from the options.
Step-by-step Explanation
Look at how y changes as x increases
Write down the pairs and focus on consecutive y-values:
, , , , , .
As goes up by each time, is going down. Now you need to decide how it is going down: by about the same amount each time, or by about the same factor each time.
Check for a constant difference (would suggest a straight-line pattern)
Find the differences between consecutive y-values:
- From to : change is
- From to : change is
- From to : change is
- From to : change is
- From to : change is
These differences are not equal; they are getting smaller in size. So a model that requires equal changes in for equal changes in does not fit well.
Check for a constant ratio (multiplying by about the same factor)
Now compare ratios of consecutive y-values:
Each y-value is about times the previous one. That means as increases by , is repeatedly multiplied by roughly the same number (about ). This is a key sign of a particular type of model.
Match the pattern to a function type
A model where each step multiplies the previous value by the same constant factor (here, about ) is called an exponential model, and because the values are going down, it is a decreasing exponential model. Therefore, the best description is Decreasing exponential (choice C).