Rubber Specimen Data

Description

Thirty rubber specimens were rubbed with an abrasive metal.

Usage

data(rubber.df)

Format

A data frame with 30 observations on the following 3 variables:

hardness

Hardness in degrees of Shore

tensile

strength in kilograms per square centimetre

abloss

the amount of material rubbed off in grams per horsepower-hour

Source

GEP Box, WR Cousins, FR Hindsworth, H Heeny, M Milbourne, W Spendley and WL Stevens (1957). In OL Davies (Ed.) Statistical Methods in Research and Production, 3rd Ed. Oliver and Boyd, London.

References

Chambers, J. M. et al. (1983). Graphical Methods for Data Analysis. Duxbury Press: Boston.

Examples

data(rubber.df)
rubber.lm<-lm(abloss~hardness+tensile,data=rubber.df)
pred<-fitted.values(rubber.lm)
res<-residuals(rubber.lm)
plot(pred,res)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(R330)
Loading required package: s20x
Loading required package: leaps
Loading required package: rgl
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/R330/rubber.df.Rd_%03d_medium.png", width=480, height=480)
> ### Name: rubber.df
> ### Title: Rubber Specimen Data
> ### Aliases: rubber.df
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(rubber.df)
> rubber.lm<-lm(abloss~hardness+tensile,data=rubber.df)
> pred<-fitted.values(rubber.lm)
> res<-residuals(rubber.lm)
> plot(pred,res)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>