BULLDOZER

Predicting the sales price of a bulldozer at auction

datasets

Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.

Adam Petrie

regclass

Tools for an Introductory Class in Regression and Modeling

BULLDOZER function

A data frame with 924 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>SalePrice</code></dt><dd>a numeric vector</dd>
 <dt><code>YearsAgo</code></dt><dd>a numeric vector, the number of years ago (before present) that the sale occurred</dd>
 <dt><code>YearMade</code></dt><dd>a numeric vector, year of manufacture of machine</dd>
 <dt><code>Usage</code></dt><dd>a numeric vector, hours of usage at time of sale</dd>
 <dt><code>Blade</code></dt><dd>a numeric vector, width of the bulldozer blade (feet)</dd>
 <dt><code>Tire</code></dt><dd>a numeric vector, size of primary tires</dd>
 </dl>

Format

BULLDOZER data — BULLDOZER

A data frame with 924 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>SalePrice</code></dt><dd>a numeric vector</dd>
 <dt><code>YearsAgo</code></dt><dd>a numeric vector, the number of years ago (before present) that the sale occurred</dd>
 <dt><code>YearMade</code></dt><dd>a numeric vector, year of manufacture of machine</dd>
 <dt><code>Usage</code></dt><dd>a numeric vector, hours of usage at time of sale</dd>
 <dt><code>Blade</code></dt><dd>a numeric vector, width of the bulldozer blade (feet)</dd>
 <dt><code>Tire</code></dt><dd>a numeric vector, size of primary tires</dd>
 </dl>

BULLDOZER: BULLDOZER data

Description

Usage

Arguments

Format

Details

References