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Simple regression and the Global Health Observatory Data (2012) : life expectancy at 60 and IHR food safety score.

Author: Odum Institute,
Publisher: Los Angeles : SAGE, 2015.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Details

Genre/Form: Case studies
Statistics
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Odum Institute,
ISBN: 9781473948174 1473948177
OCLC Number: 936152303
Description: 1 online resource : illustrations (black and white, and colour)

Abstract:

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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