re-expression con’t

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Re- Expression con’t Chapter 10 Day 3 AP Statistics

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Re-Expression con’t. Chapter 10 Day 3 AP Statistics. Warm Up. Penicillin Assimilation Straighten these data using re-expression Use your model to estimate the concentration of penicillin after 8 hours. More Practice Problems!. Brakes. Explain why the linear model is not appropriate. - PowerPoint PPT Presentation

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Page 1: Re-Expression  con’t

Re-Expression con’t

Chapter 10 Day 3AP Statistics

Page 2: Re-Expression  con’t

Warm UpTime elapsed(hours)

Concentration (Units/cc)

1 422 283 194 135 96 67 4

PenicillinAssimilation

a. Straighten these data using re-

expressionb. Use your model

to estimate the concentration of penicillin after 8

hours

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More Practice

Problems!

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BrakesSpeed(mph)

StoppingDistances (ft)

20 6420 6220 5930 11430 11830 10540 15340 17140 16550 23150 20350 23860 31760 32160 276

1. Explain why the linear model is not appropriate.

2. Re-express the data to straighten the scatterplot and give the re-expressed model.

3. Estimate stopping distance for a car traveling 55mph.

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World PopulationYear Population

(millions)

1950 25191955 27551960 30201965 33341970 36911975 40661980 44301985 48251990 52551995 56622000 6057

a.Model (Scale the years)b.Use your model to

predict population for 2005.

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What have we learned?1. Recognize when a well-chosen re-

expression may help you improve and simplify your analysis

2. Understand the value of re-expression to improve symmetry, to make scatter about the line more constant, and to make a plot more linear

3. Recognize that when a pattern indicates that no re-expression can improve the structure of the data

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4. Know how to re-express you data and how to use the calculator

5. Be able to reverse any common re-expressions to put a predicted value or residual back into the original units

What have we learned?

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6. Be able to describe a summary or display of a re-expressed variable making clear how it was re-expressed and giving its re-expressed units.

7. Be able to describe a regression model fit to re-expressed data in terms of the re-expressed variables

What have we learned?

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ClassworkBook Page 243 # 29

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Homework

Page 241 # 24, 28, 30