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#' Earnings of workers at a trucking company.
#'
#' A dataset from a mid-western US trucking company on annual earnings of its employees in 2007.
#' Datasets like this are used in audits by the Federal Government to look for signs of discrimination.
#'
#' @format A data frame \code{Trucking_jobs} with 129 rows and 11 variables.
#' \itemize{
#' \item{\code{sex}} {The employee's sex: M or F}
#' \item{\code{earnings}} {Annual earnings, in dollars. Hourly wages have been converted to a full-time basis.}
#' \item{\code{age}} {The employee's age, in years.}
#' \item{\code{title}} {The employee's job title.}
#' \item{\code{hiredyears}} {How long the employee has been working for the company.}
#' }
#'
#' @docType data
#' @name Trucking_jobs
#' @usage data(Trucking_jobs)
#'
#' @keywords datasets
#'
#' @examples
#' mod_1 = lm(earnings ~ age + hiredyears + sex, data = Trucking_jobs)
"Trucking_jobs"
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