Question 47·Medium·Two-Variable Data: Models and Scatterplots
Which of the following tables displays a set of data that are best modeled by a linear function with a negative slope?
When a question asks which data are best modeled by a linear function with a positive or negative slope, first scan each table (or scatterplot) to see whether the outputs consistently increase or decrease as the inputs increase; this tells you the sign of the slope. Then, for any choices with the correct direction, quickly compute the changes between successive -values—if those changes are roughly the same, the data are close to linear. This “differences” check is much faster and more reliable than trying to imagine or sketch detailed graphs during the test.
Hints
Focus on increase vs. decrease
For each table, look only at whether the -values go up or go down as increases from 1 to 4. Which tables have decreasing every time?
Think about negative slope
A line with a negative slope goes downward as you move from left to right. Translate that into the table: what must happen to the -values as gets larger?
Check the rate of change
For the tables where always decreases, compute how much changes each time increases by 1. Are those changes roughly the same, or do they vary a lot?
Match to a straight-line pattern
A linear model means the points would lie close to a straight line. Based on the changes in , which table’s values would most closely line up on a straight, downward-sloping line?
Desmos Guide
Enter each table’s points
For a given answer choice, type its four ordered pairs into Desmos as one expression, for example for a table you might use {(1,20),(2,25),(3,30),(4,35)}. Repeat with separate expressions for each of the other answer choices you want to compare.
Visually inspect the patterns
Look at each set of plotted points and decide whether they lie close to a straight line and whether that line slopes downward (from left to right).
Optionally fit a line to check linearity and slope sign
For a more precise check, you can store the -values and -values of one table as lists (for example, x1={1,2,3,4} and y1={40,35,25,24}), then type y1 ~ m x1 + b to perform a linear regression. The more closely the points follow this line and the more clearly is negative, the better that table is modeled by a linear function with negative slope.
Step-by-step Explanation
Understand what the question is asking
A linear function means the data should follow (or closely follow) a straight-line pattern, which shows a constant rate of change. A negative slope means that as increases, decreases. So we want a table where:
- The -values go down as goes up, and
- The amount they go down each time is about the same.
Check each table for direction of change
Look at how changes as increases from 1 to 4 in each answer choice:
- A) → goes up (positive slope).
- B) → goes up, then down, then up (mixed).
- C) → goes down every time (negative direction).
- D) → goes down every time (negative direction).
Only C and D have decreasing each time, so only those could have a negative slope.
Check whether the rate of change is roughly constant
Now we decide which of C or D is more linear by looking at the change in between each step in .
For C (40, 35, 25, 24):
- From 40 to 35: change is .
- From 35 to 25: change is .
- From 25 to 24: change is . These changes are very different, so the rate of change is not close to constant.
For D (35, 33, 30, 27):
- From 35 to 33: change is .
- From 33 to 30: change is .
- From 30 to 27: change is . These changes are all close to each other, so the rate of change is nearly constant.
Choose the table that matches a negative linear pattern
We need data that:
- Decrease as increases (negative direction), and
- Change by about the same amount each time (linear behavior).
Table D, with
| x | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| y | 35 | 33 | 30 | 27 |
has decreasing at an almost constant rate, so it is best modeled by a linear function with a negative slope. Therefore, the correct choice is D.