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Multiple regression and the Russia Longitudinal Monitoring Survey (2012) : home value, home size, and household income in Russia.

Author: Odum Institute,
Publisher: Los Angeles : SAGE, 2015.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This 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 analyses whether the size of a Russian family's home and that family's income predicts the  Read more...
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Genre/Form: Case studies
Statistics
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Odum Institute,
ISBN: 9781473942646 1473942640
OCLC Number: 936152324
Description: 1 online resource : illustrations (black and white, and colour)

Abstract:

This 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 analyses whether the size of a Russian family's home and that family's income predicts the value of their home. Understanding the factors that predict housing values and how additional income translates into housing values is important for making policy decisions about housing.

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