Drill 1 · Math · Scatterplots and Lines of Best Fit
SAT Math: Scatterplots and Lines of Best Fit (Drill 1) is a Math practice drill covering Scatterplots and Lines of Best Fit. It contains 5 original questions created by Brian Stewart, a Barron's test prep author with over 20 years of tutoring experience.
SAT scatterplot questions test your ability to interpret lines of best fit, calculate slope as an average rate of change, find residuals by comparing actual to predicted values, and explain what the slope and y-intercept mean in the context of the data.
Question 1. A researcher measures the height, in centimeters, of a plant each week after planting a seed. The line of best fit for the data is y = 2.4x + 1.2, where x is the number of weeks after planting and y is the height in centimeters. What does the line of best fit predict about the plant's growth?
Explanation: In the equation y = 2.4x + 1.2, the slope is 2.4. The slope represents the average change in y for each one-unit increase in x. Since x is measured in weeks and y in centimeters, the slope means the plant grows an average of 2.4 centimeters per week. Choice A incorrectly uses the y-intercept (1.2) as the growth rate. Choice C confuses the slope with the initial height.
| x | y |
|---|---|
| 2 | 18 |
| 4 | 13 |
| 5 | 11 |
| 7 | 8 |
| 9 | 3 |
| 10 | 1 |
Question 2. Which of the following is closest to the slope of this line of best fit?
Explanation: The slope of a line passing through two points (x1, y1) and (x2, y2) is calculated as (y2 − y1) / (x2 − x1). Using the points (2, 17) and (10, 1): slope = (1 − 17) / (10 − 2) = −16/8 = −2. The line has a negative slope because y decreases as x increases. Choices A and C are incorrect because the slope is negative, not positive.
| Week (x) | Height in cm (y) |
|---|---|
| 1 | 5 |
| 2 | 7 |
| 3 | 11 |
| 4 | 12 |
| 5 | 16 |
Question 3. What is the difference between the actual height at week 3 and the height predicted by the line of best fit at week 3?
Explanation: The actual height at week 3 is 11 cm (from the table). The predicted height from the line of best fit is y = 2.8(3) + 1.6 = 8.4 + 1.6 = 10.0 cm. The difference is 11 − 10.0 = 1.0. Choice A is too small. Choice C may result from a calculation error. Choice D is the actual y-value itself, not the difference.
Question 4. A city records the number of registered electric vehicles, in thousands, each year since 2015. The line of best fit is y = 3.8x + 2.1, where x is the number of years since 2015 and y is the number of electric vehicles in thousands. What does the number 2.1 represent in this equation?
Explanation: In the equation y = 3.8x + 2.1, the value 2.1 is the y-intercept, the predicted value of y when x = 0. Since x represents years since 2015, x = 0 corresponds to 2015. Therefore, 2.1 represents the predicted number of electric vehicles, in thousands, in 2015. Choice B describes the slope (3.8), not the y-intercept.
| Time (minutes) | Temperature (°C) |
|---|---|
| 0 | 22 |
| 2 | 34 |
| 4 | 48 |
| 6 | 59 |
| 8 | 72 |
Question 5. What is the average rate of change, in degrees Celsius per minute, of the water temperature from 2 minutes to 6 minutes?
Explanation: The average rate of change is the difference in y-values divided by the difference in x-values. At x = 2, the temperature is 34°C. At x = 6, the temperature is 59°C. Average rate of change = (59 − 34)/(6 − 2) = 25/4 = 6.25°C per minute. Choice C (12.5) may result from dividing by 2 instead of 4. Choice D (25) is just the numerator without dividing.