Estimated value of a brand name product and the conpany's revenue

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Description

Data for Exercises 2.28, 9.19, and Example 2.8

Usage

1

Format

A data frame with 42 observations on the following 3 variables.

Brand

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

value

a numeric vector

revenue

a numeric vector

Source

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Duxbury

Examples

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str(Name)
attach(Name)
plot(revenue,value)
model <- lm(value~revenue)
abline(model)
cor(value,revenue)
summary(model)
detach(Name)
remove(model)

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