segreg: Energy consumption

In alr4: Data to Accompany Applied Linear Regression 4th Edition

Description

Data on electricity consumption (KWH) and mean temperature (degrees F) for one building on the University of Minnesota's Twin Cities campus. for 39 months in 1988-92. The goal is to model consumption as a function of temperature. Higher temperature causes the use of air conditioning, so high temperatures should mean high consumption. This building is steam heated, so electricity is not used for heating.

Format

This data frame contains the following columns:

Temp

Monthly mean temperature, degrees F.

C

Electricty consumption in KWH/day

Source

Charles Ng

References

Weisberg, S. (2014). Applied Linear Regression, 4th edition. Hoboken NJ: Wiley.

Examples

head(segreg)

Example output

Loading required package: car
Loading required package: carData
Loading required package: effects
Registered S3 methods overwritten by 'lme4':
  method                          from
  cooks.distance.influence.merMod car 
  influence.merMod                car 
  dfbeta.influence.merMod         car 
  dfbetas.influence.merMod        car 
lattice theme set by effectsTheme()
See ?effectsTheme for details.
     Temp       C
1  8.5536 86.2143
2 10.6613 72.3871
3 12.4516 74.0968
4 16.9032 68.2258
5 20.5161 72.3548
6 21.1613 76.4839

alr4 documentation built on May 2, 2019, 6:40 p.m.