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One-way MANOVA and the Canadian Fuel Consumption Report (2015): Highway Fuel Consumption, CO2 Emissions, and Engine Cylinders

Dataset
By: The Odum Institute Published: 2015 | Product: SAGE Research Methods Datasets
Data Type: Numeric
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Abstract

This dataset example introduces readers to one-way multivariate analysis of variance (MANOVA) (sometimes called multiple analysis of variance). This technique allows researchers to compare the means of two or more continuous (and possibly correlated) variables across two or more subsets of the data. Those subsets are generally defined by categories from a categorical variable in the dataset. This example uses a subset of data from the 2015 Canadian Fuel Consumption Ratings. It presents an analysis of whether the CO2 emissions and highway fuel consumption of an automobile both differ based on the number of engine cylinders in that automobile. Understanding how features of automobile engines impact their average emissions and fuel consumption is important for making policy decisions about fuel economy standards and carbon emissions.

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About This Dataset
Data Source Citation

Natural Resources Canada. 2015). Fuel consumption ratings [Data file]. Retrieved from http://data.gc.ca/data/en/dataset/98f1a129-f628-4ce4-b24d-6f16bf24dd64

Full title of originating dataset

2015 – Fuel Consumption Ratings

Data author(s) and affiliations

Natural Resources Canada, Government of Canada

Data Universe

Vehicles for retail sale in Canada

Funding sources/suppliers

Natural Resources Canada

Dataset contains information licensed under the Open Government Licence – Canada (http://open.canada.ca/en/open-government-licence-canada)

Data collection dates

2015

Unit of analysis

Vehicles

Location covered by data

Canada

Links to SRM content
  • Iversen, G. (2004). Multivariate analysis of variance and covariance (MANOVA and MANCOVA). In M.S., Lewis-Beck, A. Bryman, & T. Futing Liao (Eds.), The SAGE encyclopedia of social science research methods. (pp. 703–704). Thousand Oaks, CA: Sage Publications, Inc. doi: http://dx.doi.org/10.4135/9781412950589.n608
  • Kraska, M. (2010). Multivariate analysis of variance (MANOVA). In N.J. Salkind (Ed.), Encyclopedia of research design. (pp. 858–863). Thousand Oaks, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781412961288.n257
  • Bray, J.H., & Maxwell, S.E. (1985). Multivariate analysis of variance. Newbury Park, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781412985222
List of variables

year

Year

make

Make

model

Model

class

Class

enginesize

Engine Size

fuelusecity

Fuel Use City

fuelusehwy

Fuel Use Highway

fueluseboth

Fuel Use Combined

mpgboth

MPG Combined

co2emissions

CO2 Emissions

cylinders468

Num of Cylinders

cylinder4

4-cylinder

cylinder6

6-cylinder

cylinder8

8-cylinder

trans2

Transmission

fuel

Fuel Type

Methods Map
Multiple analysis of variance