Question bank / Two-variable data: models and scatterplots

Math · Problem-Solving and Data AnalysisHard

A scatterplot shows the average resale price yy, in dollars, of a certain phone model xx months after the model's release. The line of best fit for the data is y=−12x+600y = -12x + 600. At 1515 months after release, the actual average resale price was $357\$357. The actual price was what percent less than the price predicted by the line of best fit?

A

15%15\%

B

18%18\%

C

63%63\%

D

85%85\%

Show answer and explanation

Answer: A

The predicted price at x=15x = 15 is −12(15)+600=420-12(15) + 600 = 420 dollars. The actual price was 420−357=63420 - 357 = 63 dollars less. As a percent of the predicted price, 63420=0.15\frac{63}{420} = 0.15, or 15%15\%.

Choice B divides the difference by the actual price, 357357, but less than the predicted price means the predicted price is the base.

Why the other choices are wrong

  • B. This divides the 63 dollar difference by the actual price, 357, instead of by the predicted price, 420.
  • C. 63 is the difference in dollars, not a percent.
  • D. 85% is the actual price as a percent of the predicted price, not the percent decrease.
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