#' Simulated data for analyzing the relationship between watching TV and grades
#'
#' This is a simulated dataset to be used to estimate the relationship between
#' number of hours per week students watch TV and the grade they got in a
#' statistics class.
#'
#' There are a few potential outliers in this dataset. When analyzing the data
#' one should consider how (if at all) these outliers may affect the estimates
#' of correlation coefficient and regression parameters.
#'
#' @name gradestv
#' @docType data
#' @format A data frame with 25 observations on the following 2 variables.
#' \describe{
#' \item{tv}{Number of hours per week students watch TV.}
#' \item{grades}{Grades students got in a statistics class (out of 100).}
#' }
#' @source Simulated data
#' @keywords datasets correlation regression
#' @examples
#'
#' library(ggplot2)
#'
#' ggplot(gradestv, aes(x = tv, y = grades)) +
#' geom_point() +
#' geom_smooth(method = "lm")
"gradestv"
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