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About This Drill
SAT Math: Scatterplots and Lines of Best Fit (Drill 3) 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 cover comparing linear and exponential models, making predictions by extrapolating from lines of best fit, interpreting slope as a rate of change in context, and calculating and interpreting residuals for individual data points.
Questions in This Drill
- Which of the following is true about the values of 3x and 4x + 1 for x > 0?
- Based on the line of best fit, what is the predicted revenue for month 8?
- A biologist models the concentration of a chemical in a lake using the equation C(t) = 120(0.85)t, where C is the concentration in parts per million and t is the number of weeks since a cleanup began. Which of the following best describes what the model predicts?
- A delivery company records the total fuel cost, in dollars, for trips of various distances. The line of best fit is y = 0.38x + 12.50, where x is the distance in miles and y is the fuel cost in dollars. Which of the following is the best interpretation of 0.38 in this context?
- For which value of x is the residual (actual − predicted) the most negative?