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Learn about simple regression in SPSS with data from the Global Health Observatory Data (2012).

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:
  • 9781473948174 (online resource) :
Subject(s): DDC classification:
  • 001.422 23
Online resources: This dataset example introduces readers to simple regression. This technique allows researchers to evaluate whether a continuous dependent variable is a linear function of a single independent variable. The simple linear 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 2012 Global Health Observatory data from the World Health Organization. It presents an analysis of whether a country's International Health Regulation (IHR) score on food safety predicts its average life expectancy at age 60.
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This dataset example introduces readers to simple regression. This technique allows researchers to evaluate whether a continuous dependent variable is a linear function of a single independent variable. The simple linear 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 2012 Global Health Observatory data from the World Health Organization. It presents an analysis of whether a country's International Health Regulation (IHR) score on food safety predicts its average life expectancy at age 60.

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Description based on online resource; title from home page (viewed on September 16, 2015).

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