Stats 6590 Project

Analysis of Automobile Data

You have been hired to conduct an analysis of data collected on 406 automobiles in the 1970's and 1980's. Information on 8 variables is available for each automobile. A more complete description of the data is at the end of this report.

A copy of the dataset is available through our course webpage:

http://www.math.mun.ca/~sneddon/st6590

If you plan on using Splus to do your data analysis, you can access the data in Splus by typing:

 attach("/users/math/faculty/sneddon/DATA")

The data is in the file cars.dat

Your goal, as the statistical consultant, is to help determine: (1) whether miles per gallon of an automobile is related to the other variables; (2) can some of the variables be used to help classify in which country the car was built. You are also encouraged to address other issues that appear to be of interest to you in this dataset.

Data Description

The columns of the dataset contain the following variables. Each row corresponds to a different model of automobile:

1. Miles per gallon.

2. Number of cylinders in the car.

3. Engine Displacement (size of engine), in cubic inches.

4. Horsepower of Engine.

5. Weight of car, in pounds.

6. Acceleration of car. This is the time (in seconds) it takes for the car to go from 0 to 60 miles per hour.

7. Model year of car.

8. Origin of car (location where it was built). 1 = USA, 2 = Europe, 3 = Japan.