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

Published SAGE Publications Ltd 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 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 Audience Specialized Notes Description based on online resource; title from home page (viewed on September 16, 2015) Subject Regression analysis. Regression analysis -- Case studies. Research -- Statistical methods. Research -- Statistical methods -- Case studies. Life expectancy -- Sex differences -- Case studies. Genre/Form Case studies. Form Electronic book Author The Odum Institute, host institution ISBN 1473948150 9781473948150

Other Titles Multiple Regression and the Global Health Observatory Data

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