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Teaching StatisticsA Bag of Tricks$
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Andrew Gelman and Deborah Nolan

Print publication date: 2017

Print ISBN-13: 9780198785699

Published to Oxford Scholarship Online: September 2017

DOI: 10.1093/oso/9780198785699.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 04 December 2021

Linear regression and correlation

Linear regression and correlation

Chapter:
(p.48) 5 Linear regression and correlation
Source:
Teaching Statistics
Author(s):

Andrew Gelman

Deborah Nolan

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198785699.003.0005

This chapter addresses the descriptive treatment of linear regression with a single predictor: straight-line fitting, interpretation of the regression line and standard deviation, the confusing phenomenon of “regression to the mean,” correlation, and conducting regressions on the computer. These concepts are illustrated with student discussions and activities. Many examples are of the sort commonly found in statistics textbooks, but the focus here is on how to work the examples into student-participation activities rather than simply examples to be read or shown on the blackboard. Topics include the following relationships: height and income, height and hand span, world population over time, and exam scores.

Keywords:   Correlation, linear regression, log transformation, regression to the mean, straight-line fitting, teaching statistics

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