BULLDOZER: BULLDOZER data
In regclass: Tools for an Introductory Class in Regression and Modeling

Description Usage Format Details References

Predicting the sales price of a bulldozer at auction

1	data("BULLDOZER")

A data frame with 924 observations on the following 6 variables.

SalePrice: a numeric vector
YearsAgo: a numeric vector, the number of years ago (before present) that the sale occurred
YearMade: a numeric vector, year of manufacture of machine
Usage: a numeric vector, hours of usage at time of sale
Blade: a numeric vector, width of the bulldozer blade (feet)
Tire: a numeric vector, size of primary tires

The goal is to predict the sale price of a particular piece of heavy equiment at auction based on its usage, equipment type, and configuration. The data represents a heavily modified version of competition data found on kaggle.com. See original source for actual dataset

https://www.kaggle.com/c/bluebook-for-bulldozers

regclass documentation built on March 26, 2020, 8:02 p.m.