On this R-data statistics page, you will find information about the carprice data set which pertains to US Car Price Data. The carprice data set is found in the DAAG R package. You can load the carprice data set in R by issuing the following command at the console data("carprice"). This will load the data into a variable called carprice. If R says the carprice data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the carprice R data set. The size of this file is about 2,076 bytes.
US Car Price Data
U.S. data extracted from
Cars93, a data frame in the MASS package.
This data frame contains the following columns:
Type of car, e.g. Sporty, Van, Compact
Price for a basic model
Price for a mid-range model
Price for a ‘premium’ model
Difference between Max.Price and Min.Price
Rough.Range plus some N(0,.0001) noise
The number of gallons required to travel 100 miles
Average number of miles per gallon for city driving
Average number of miles per gallon for highway driving
Venables, W.N.\ and Ripley, B.D., 4th edn 2002. Modern Applied Statistics with S. Springer, New York.
See also ‘R’ Complements to Modern Applied Statistics with S-Plus, available from http://www.stats.ox.ac.uk/pub/MASS3/
print("Multicollinearity - Example 6.8")
pairs(carprice[,-c(1,8,9)])carprice1.lm <- lm(gpm100 ~ Type+Min.Price+Price+Max.Price+Range.Price,
pause()carprice2.lm <- lm(gpm100 ~ Type+Min.Price+Price+Max.Price+RoughRange, data=carprice)
pause()carprice.lm <- lm(gpm100 ~ Type + Price, data = carprice)
pause()summary(carprice1.lm)$sigma # residual standard error when fitting all 3 price variables
pause()summary(carprice.lm)$sigma # residual standard error when only price is used
pause()vif(lm(gpm100 ~ Price, data=carprice)) # Baseline Price
pause()vif(carprice1.lm) # includes Min.Price, Price & Max.Price
pause()vif(carprice2.lm) # includes Min.Price, Price, Max.Price & RoughRange
pause()vif(carprice.lm) # Price alone
Dataset imported from https://www.r-project.org.