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About This Drill
SAT Math: Scatterplots and Lines of Best Fit (Drill 2) 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 data modeling questions cover selecting between linear and exponential models, interpreting exponential growth and decay equations, understanding how data transformations affect model fit, and comparing predicted values to actual data points.
Questions in This Drill
- Which type of function best models the relationship between x and y in the data?
- A scatterplot shows the amount of a medication, in milligrams, remaining in a patient's bloodstream over time. An equation for the exponential model can be written as y = a · bx, where a and b are positive constants, x is the number of hours, and y is the amount remaining. The model shows a decreasing trend. Which of the following is closest to the value of b?
- Of the following, which equation best models the data?
- A line of best fit for a data set has the equation y = 1.5x + 8. A new data set is created by multiplying the y-coordinate of each data point by 4. Which of the following could be an equation of a line of best fit for the new data set?
- According to the line of best fit, what is the predicted price of a 3-year-old car, and how does it compare to the actual data point?