The amount of a medication remaining in patients' bloodstreams was monitored over the course of two days. The equation ŷ = 1000(0.65)x models the predicted number of milligrams, ŷ, remaining x hours after taking the medication. Interpret the percent rate of change in the context of the problem. The medication is predicted to lose about 65% of its quantity each hour after taking it. The medication is predicted to lose about 35% of its quantity each hour after taking it. The medication is predicted to lose 65 milligrams each hour after taking it. The medication is predicted to lose 35 milligrams each hour after taking it.
The amount of a medication remaining in patients' bloodstreams was monitored over the course of two days. The equation ŷ = 1000(0.65)x models the predicted number of milligrams, ŷ, remaining x hours after taking the medication. Interpret the percent rate of change in the context of the problem. The medication is predicted to lose about 65% of its quantity each hour after taking it. The medication is predicted to lose about 35% of its quantity each hour after taking it. The medication is predicted to lose 65 milligrams each hour after taking it. The medication is predicted to lose 35 milligrams each hour after taking it.
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The amount of a medication remaining in patients' bloodstreams was monitored over the course of two days. The equation ŷ = 1000(0.65)x models the predicted number of milligrams, ŷ, remaining x hours after taking the medication. Interpret the percent rate of change in the context of the problem.
The medication is predicted to lose about 65% of its quantity each hour after taking it.
The medication is predicted to lose about 35% of its quantity each hour after taking it.
The medication is predicted to lose 65 milligrams each hour after taking it.
The medication is predicted to lose 35 milligrams each hour after taking it.
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