# Name: Estimated value of a brand name product and the conpany's... In BSDA: Basic Statistics and Data Analysis

## Description

Data for Exercises 2.28, 9.19, and Example 2.8

## Usage

 `1` ```Name ```

## Format

A data frame/tibble with 42 observations on three variables

brand

a factor with levels `Band-Aid`, `Barbie`, `Birds Eye`, `Budweiser`, `Camel`, `Campbell`, `Carlsberg`, `Coca-Cola`, `Colgate`, `Del Monte`, `Fisher-Price`, `Gordon's`, `Green Giant`, `Guinness`, `Haagen-Dazs`, `Heineken`, `Heinz`, `Hennessy`, `Hermes`, `Hershey`, `Ivory`, `Jell-o`, ```Johnnie Walker```, `Kellogg`, `Kleenex`, `Kraft`, `Louis Vuitton`, `Marlboro`, `Nescafe`, `Nestle`, `Nivea`, `Oil of Olay`, `Pampers`, `Pepsi-Cola`, `Planters`, `Quaker`, ```Sara Lee```, `Schweppes`, `Smirnoff`, `Tampax`, `Winston`, and `Wrigley's`

value

value in billions of dollars

revenue

revenue in billions of dollars

Financial World.

## References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

## Examples

 ```1 2 3 4 5 6``` ```plot(value ~ revenue, data = Name) model <- lm(value ~ revenue, data = Name) abline(model, col = "red") cor(Name\$value, Name\$revenue) summary(model) rm(model) ```

BSDA documentation built on July 30, 2017, 5:01 p.m.