Simple regression and the U.S. Statistical Abstracts (2012) : infant mortality and poverty across the U.S.
This dataset example introduces simple regression, which 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 call...
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Full Text (via SAGE) |
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| Other title: | Simple Regression and the U.S. Statistical Abstracts. Learn about simple regression in SPSS with data from the U.S. Statistical Abstracts (2012) |
| Format: | eBook |
| Language: | English |
| Published: |
London
SAGE Publications,
2015.
SAGE Publications Ltd. |
| Subjects: |
MARC
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| 520 | 8 | |a This dataset example introduces simple regression, which 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 looking specifically at whether the poverty rate in a US state predicts a state's infant mortality rate. Analysis like this might help researchers and policy makers better understand the link between poverty and adverse health outcomes. | |
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