BSDA (version 1.2.0)

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

Description

Data for Exercises 2.28, 9.19, and Example 2.8

Usage

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

References

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

Examples

# NOT RUN {
plot(value ~ revenue, data = Name)
model <- lm(value ~ revenue, data = Name)
abline(model, col = "red")
cor(Name$value, Name$revenue)
summary(model)
rm(model)

# }