Name:

Description:

The monthly use of steam (Steam) in a factory may be modeled and described as function of the operating days per month (Operating.Days) and mean outside temperature per month (Temperature).

Variables:

A data frame with 25 observations on the following 10 variables.

Steam:

regression response Y, the poinds of steam used monthly.

fattyAcid:

pounds of Real Fatty Acid in storage per month.

glycerine:

pounds of crude glycerine made.

wind:

average wind velocity in miles per hour (a numeric vector).

days:

an integer vector with number of days of that month, i.e., in 28..31.

op.days:

the number of operating days for the given month (integer).

freeze.d:

the number of days below 32 degrees Fahrenheit (= 0°C (C=Celsius) = freezing temperature of water).

temperature:

a numeric vector of average outside temperature in Fahrenheit (F).

startups:

the number of startups (of production in that month).

Link To Google Sheets:

Rows:

Columns:

Files:

License Type:

References/Notes/Attributions:

Source

Data from Draper and Smith, 1st ed, 1966; appendix A.

A version of this has been used in teaching at SfS ETH Zurich, since at least 1996, https://stat.ethz.ch/Teaching/Datasets/NDK/dsteam.dat

The package aprean3 contains all data sets from the 3rd edition of Draper and Smith (1998), and this data set with variable names x1 .. x10 (x9 being wind^2, hence extraneous).

References

Draper and Smith (1981) Applied Regression Analysis (2nd ed., p. 615 ff)

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: