Question bank / Two-variable data: models and scatterplots

Math · Problem-Solving and Data AnalysisMedium

A scatterplot shows the amount yy, in milligrams, of a medication in a patient's bloodstream xx hours after a dose. The values of yy decrease quickly at first and then more slowly, getting closer and closer to 00 without reaching it. Which of the following equations could best model the data?

A

y=120−15xy = 120 - 15x

B

y=120(1.6)xy = 120(1.6)^x

C

y=15x+120y = 15x + 120

D

y=120(0.6)xy = 120(0.6)^x

Show answer and explanation

Answer: D

Values that fall quickly at first, then more slowly, while approaching 00 fit exponential decay, y=a(b)xy = a(b)^x with 0<b<10 < b < 1. Choice D has b=0.6b = 0.6, so each hour the amount is multiplied by 0.60.6. Choices B and C increase, and choice A decreases by the same amount every hour.

Choice A decreases, but a linear model drops by the same 1515 milligrams every hour and reaches 00 after 88 hours, which doesn't match the data.

Why the other choices are wrong

  • A. This linear model drops by 15 milligrams every hour and reaches 0 after 8 hours, but the data level off.
  • B. A base greater than 1 gives exponential growth, but the data decrease.
  • C. This linear model increases, but the data decrease.
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