water


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.


datasets

This package is a companion to the textbook S. Weisberg (2014),
"Applied Linear Regression," 4rd edition, Wiley. It includes all the
data sets discussed in the book and one function to access the textbook's
website.
This package depends on the car package.  Many data files in this package
are included in the alr3 package as well, so only one of them should be
loaded.

Sanford Weisberg

alr4

Data to accompany Applied Linear Regression 4rd edition

water function

This data frame contains the following columns:
 <dl>
    <dt>Year</dt><dd>
 collection year
    </dd> <dt>APMAM</dt><dd>
 Snowfall in inches measurement site
    </dd> <dt>APSAB</dt><dd>
 Snowfall in inches measurement site
    </dd> <dt>APSLAKE</dt><dd>
 Snowfall in inches measurement site
    </dd> <dt>OPBPC</dt><dd>
 Snowfall in inches measurement site
    </dd> <dt>OPRC</dt><dd>
 Snowfall in inches measurement site
    </dd> <dt>OPSLAKE</dt><dd>
 Snowfall in inches measurement site
    </dd> <dt>BSAAM</dt><dd>
 Stream runoff near Bishop, CA, in acre-feet
    </dd> </dl> 

water: California water

Description

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References

Examples