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Multiple regression and the Global Health Observatory Data (2012) : female life expectancy, health expenditures, and legislation.

Author: Odum Institute,
Publisher: Los Angeles : SAGE, 2015.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This dataset example introduces multiple regression, which 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 data subset from the WHO 2012 Global Health Observatory Data to analyse whether  Read more...
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Genre/Form: Case studies
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Odum Institute,
ISBN: 9781473948150 1473948150
OCLC Number: 936152301
Description: 1 online resource : illustrations (black and white, and colour)

Abstract:

This dataset example introduces multiple regression, which 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 data subset from the WHO 2012 Global Health Observatory Data to analyse whether a country's per capita government expenditure on health and that country's International Health Regulation (IHR) score on legislation predicts female life expectancy in that country.

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