Predicting the sales price of a bulldozer at auction
A data frame with 924 observations on the following 6 variables.
a numeric vector
a numeric vector, the number of years ago (before present) that the sale occurred
a numeric vector, year of manufacture of machine
a numeric vector, hours of usage at time of sale
a numeric vector, width of the bulldozer blade (feet)
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
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