boilers | R Documentation |
This data contains man-hours required to erect boiler drums of two types: steam and mud drums. A manufacturer of boiler drums wants to use regression to predict the number of hours needed to erect the drums in future projects. To accomplish this, information of 35 boilers were collected; the boiler design pressure in pounds per square inch (PSI), boiler capacity and if the boiler was industry field erected or utility field erected.
boilers
A data frame with 36 observations (rows) and 5 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Hours | integer | Man-hours | (1200 - 14791) |
[,2] | Capacity | integer | Boiler capacity in lb/hour | (30000 - 1089490) |
[,3] | Pressure | integer | Boiler design pressure in PSI | (250 - 2170) |
[,4] | Boiler | integer | 1 if industry erect, otherwise 0 | (0 - 1) |
[,5] | Drum | integer | Steam drum = 1, mud drum = 0 | (0 - 1) |
A boiler is used to provide hot water or steam for heating. The steam drum is located in the upper drum of a boiler and used to store the steam generated in water-tube boilers. A mud drum, which is the lower drum, can be added to the system to collect and remove sediments and mud in the water.
This data is from Exercise 4.74 in A second course in statistics: Regression Analysis, 7th edition.
Mendenhall, W., Sincich, T. (2012) A second course in statistics: Regression Analysis, 7th edition. Pearson Education.
# First eight rows
head(boilers, n = 8)
# Man-hours for industry erected mud boiler drums
idx <- which(boilers$Boiler == 1 & boilers$Drum == 0)
boxplot(boilers$Hours[idx] ~ boilers$Pressure[idx])
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