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About This Drill
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.
Questions in This Drill
- 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?
- Which of the following is closest to the slope of this line of best fit?
- What is the difference between the actual height at week 3 and the height predicted by the line of best fit at week 3?
- 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?
- What is the average rate of change, in degrees Celsius per minute, of the water temperature from 2 minutes to 6 minutes?