Name {BSDA}

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

Source

Financial World.

References

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

Examples

plot(value ~ revenue, data = Name)
model <- lm(value ~ revenue, data = Name)
abline(model, col = "red")
cor(Name$value, Name$revenue)
summary(model)
rm(model)