Cover Image

Learn about multiple regression with dummy variables in SPSS with data from the Canadian Fuel Consumption Report (2015).

This dataset 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),...

Full description

Bibliographic Details
Format: eBook
Language:English
Published: London : SAGE Publications, 2015.
Subjects:
Automobiles > Fuel consumption > Statistics.
Automobiles > Motors > Exhaust gas > Canada > Statistics.
Regression analysis > Case studies.
Regression analysis.
Research > Statistical methods > Case studies.
Research > Statistical methods.
Regression Analysis
Automobiles > Carburants > Consommation > Statistiques.
Automobiles > Moteurs > Gaz d'échappement > Canada > Statistiques.
Analyse de régression > Études de cas.
Analyse de régression.
Recherche > Méthodes statistiques > Études de cas.
Recherche > Méthodes statistiques.
Automobiles > Fuel consumption.
Automobiles > Motors > Exhaust gas.
Canada.
Case studies.
Statistics.
Online Access:Connect to the full text of the electronic book
Description
Summary:This dataset 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 uses a subset of data from the 2015 Fuel Consumption Report from Natural Resources Canada. It presents an analysis of whether the size of an automobile's engine and whether that engine has 4, 6, or 8 cylinders predicts the CO2 emissions of that automobile.
Physical Description:1 online resource : illustrations (black and white, and colour)
Audience:Specialized.
ISBN:9781473947412
1473947413