water {alr3}R Documentation

California water

Description

Can Southern California's water supply in future years be predicted from past data? One factor affecting water availability is stream runoff. If runoff could be predicted, engineers, planners and policy makers could do their jobs more efficiently. Multiple linear regression models have been used in this regard. This dataset contains 43 years worth of precipitation measurements taken at six sites in the Owens Valley ( labeled APMAM, APSAB, APSLAKE, OPBPC, OPRC, and OPSLAKE), and stream runoff volume at a site near Bishop, California.

Format

This data frame contains the following columns:

Year
collection year
APMAM
Snowfall measurement site
APSAB
Snowfall measurement site
APSLAKE
Snowfall measurement site
OPBPC
Snowfall measurement site
OPRC
Snowfall measurement site
OPSLAKE
Snowfall measurement site
BSAAM
Stream runoff near Bishop, CA

Source

Source: http://www.stat.ucla.edu.

References

Weisberg, S. (2005). Applied Linear Regression, 3rd edition. New York: Wiley, Problem 1.5.

Examples

data(dwp)

[Package alr3 version 1.0.7 Index]