pipeline: Alaska pipeline

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

Description

The Alaska pipeline data consists of in-field ultrasonic measurements of the depths of defects in the Alaska pipeline. The depth of the defects were then re-measured in the laboratory. These measurements were performed in six different batches. The data were analyzed to calibrate the bias of the field measurements relative to the laboratory measurements. In this analysis, the field measurement is the response variable and the laboratory measurement is the predictor variable.

These data were originally provided by Harry Berger, who was at the time a scientist for the Office of the Director of the Institute of Materials Research (now the Materials Science and Engineering Laboratory) of NIST. These data were used for a study conducted for the Materials Transportation Bureau of the U.S. Department of Transportation.

Format

This data frame contains the following columns:

Field

Number of defects measured in the field.

Lab

Number of defects measured in the field.

Batch

Batch number

Source

http://www.itl.nist.gov/div898/handbook/pmd/section6/pmd621.htm

References

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

Examples

head(pipeline)

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