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Learn about multiple regression with dummy variables in SPSS with data from the Russia Longitudinal Monitoring Survey (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:
  • 9781473942653 (online resource) :
Subject(s): DDC classification:
  • 001.422 23
Online resources: This example introduces multiple regression with dummy variables, 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 analyses whether the size of a Russian family's home and whether that home has central heating predicts the value of their home.
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This example introduces multiple regression with dummy variables, 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 analyses whether the size of a Russian family's home and whether that home has central heating predicts the value of their home.

Specialized.

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

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