1 / 11

Re-Expression con’t

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.

kay
Télécharger la présentation

Re-Expression con’t

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


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

  2. Warm Up Penicillin Assimilation Straighten these data using re-expression Use your model to estimate the concentration of penicillin after 8 hours

  3. More Practice Problems!

  4. Brakes Explain why the linear model is not appropriate. Re-express the data to straighten the scatterplot and give the re-expressed model. Estimate stopping distance for a car traveling 55mph.

  5. World Population Model (Scale the years) Use your model to predict population for 2005.

  6. What have we learned? • Recognize when a well-chosen re-expression may help you improve and simplify your analysis • Understand the value of re-expression to improve symmetry, to make scatter about the line more constant, and to make a plot more linear • Recognize that when a pattern indicates that no re-expression can improve the structure of the data

  7. What have we learned? • Know how to re-express you data and how to use the calculator • Be able to reverse any common re-expressions to put a predicted value or residual back into the original units

  8. What have we learned? • 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. • Be able to describe a regression model fit to re-expressed data in terms of the re-expressed variables

  9. ClassworkBook Page 243 # 29

  10. Homework Page 241 # 24, 28, 30

More Related