p9.10

The <code>p9.10</code> data frame has 31 observations
on the rut depth of asphalt pavements prepared under
different conditions.

datasets

Most of this package consists of data sets from the
textbook Introduction
to Linear Regression Analysis, by Montgomery, Peck
and Vining.  All data sets from the 3rd edition are included
and many from the 6th edition are also included.
The package also contains some additional data sets and functions.

W.J. Braun

Data Sets from Montgomery, Peck and Vining

S. MacQueen

p9.10 function

This data frame contains the following columns:<dl>
 <dt>y</dt>
<dd>change in rut depth/million wheel passes (log scale)</dd> <dt>x1</dt>
<dd>viscosity (log scale)</dd> <dt>x2</dt>
<dd>percentage of asphalt in surface course</dd> <dt>x3</dt>
<dd>percentage of asphalt in base course</dd> <dt>x4</dt>
<dd>indicator</dd> <dt>x5</dt>
<dd>percentage of fines in surface course</dd> <dt>x6</dt>
<dd>percentage of voids in surface course</dd> 
</dl>

Format

Data Set for Problem 9-10 — p9.10

This data frame contains the following columns:<dl>
 <dt>y</dt>
<dd>change in rut depth/million wheel passes (log scale)</dd>

 <dt>x1</dt>
<dd>viscosity (log scale)</dd>

 <dt>x2</dt>
<dd>percentage of asphalt in surface course</dd>

 <dt>x3</dt>
<dd>percentage of asphalt in base course</dd>

 <dt>x4</dt>
<dd>indicator</dd>

 <dt>x5</dt>
<dd>percentage of fines in surface course</dd>

 <dt>x6</dt>
<dd>percentage of voids in surface course</dd>

 
</dl>

p9.10: Data Set for Problem 9-10

Description

Usage

Arguments

Format

References

Examples