2.1-2.6 Review

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CCSS.HSF.LE.A.2

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CCSS.HSF-IF.C.8B

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CCSS.HSF-IF.C.8B

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CCSS.HSF-IF.C.8B

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CCSS.HSF-IF.C.8B

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CCSS.HSF.LE.B.5

• h is best modeled by a linear function because the outputs over consecutive equal-length input-value intervals are constant rate.

• h is best modeled by a linear function because the inputs over consecutive equal-length output-value intervals are constant rate.

• h is best modeled by an exponential function because the outputs over consecutive equal-length input-value intervals are proportional.

• h is best modeled by an exponential function because the inputs over consecutive equal-length output-value intervals are proportional.

• y = -256t + 512

• y = -120t + 512

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CCSS.HSF.LE.A.2

A fitness trainer created a new fitness program designed to help her clients increase their bench press. The trainer made estimates about the maximum amount one of her clients could bench press over time using her program. A linear regression was used to develop a model for the maximum bench press over time. The figure shows a graph of the residuals of the linear regression. Which of the following statements about the linear regression is true?

• The linear model is not appropriate, because there is not a clear pattern in the graph of the residuals.

• The linear model is not appropriate, because there is a clear pattern in the graph of the residuals.

• The linear model is appropriate, because there is not a clear pattern in the graph of the residuals.

• The linear model is appropriate, because there is a clear pattern in the graph of the residuals.