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Learn about multiple regression in SPSS with data from the China Health and Nutrition Survey (2006) / The Odum Institute.

Contributor(s): Material type: TextPublisher: London : SAGE Publications, 2015Description: 1 online resource : illustrations (black and white, and colour)Content type:
  • text
  • still image
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781473937925 (online resource) :
Subject(s): DDC classification:
  • 001.422 23
Online resources: 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.
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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.

Specialized.

Description based on online resource; title from home page (viewed on May 18, 2015).

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