This data set has been used primarily for understanding a multivariate data set. Multiple regression model is also introduced and discussed completely through this example.
data
data(Gasoline)
Format
A data frame with 25 observations on the following 12 variables.
y: Miles per gallon
x1: Displacement (cubic inches)
x2: Horsepower (foot-pounds)
x3: Torque (foot-pounds)
x4: Compression ratio
x5: Rear axle ratio
x6: Carburetor (barrels)
x7: Number of transmission speeds
x8: Overall length (inches)
x9: Width (inches)
x10: Weight (pounds)
x11: Type of transmission (A-automatic, M-manual)
References
Montgomery, D. C., Peck, E.A., and Vining, G.G. (2012). Introduction to linear regression analysis. Wiley.