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Title Learn about multiple regression in SPSS with data from the China Health and Nutrition Survey (2006) / The Odum Institute
Published London : SAGE Publications, 2015
Online access available from:
Sage Research Methods Datasets    View Resource Record  

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Description 1 online resource : illustrations (black and white, and colour)
Summary This work introduces readers to multiple regression. This technique allows researchers to evaluate whether a continuous dependent variable is a linear function of two or more independent variables. The multiple regression model is most commonly estimated via ordinary least squares (OLS), and is sometimes called OLS regression. This example uses a subset of data from the 2006 China Health and Nutrition Survey (CHNS) of adults. It presents an analysis of whether systolic blood pressure is a linear function of a person's weight and their age. High blood pressure is associated with a number of negative health outcomes. Thus results from an analysis like this could have implications for individual behavior and public health policy
Audience Specialized
Notes Description based on online resource; title from home page (viewed on May 18, 2015)
Subject Regression analysis.
Research -- Statistical methods.
Research -- Statistical methods -- Case studies.
Blood pressure -- China -- Statistics.
Body weight -- Health aspects -- China -- Statistics.
Aging -- China -- Statistics.
Genre/Form Case studies.
Statistics.
Form Electronic book
Author Howard W. Odum Institute for Research in Social Science, associated with work
ISBN 9781473937925 (online resource)
1473937922