Extruder: Understanding effect of manufacturing conditions on product...
In gpk: 100 Data Sets for Statistics Education
Description
Usage
Format
Details
Source
Examples
Description
Extrusion is a process in which dough-like raw material is pushed through a machine and the machine puts out product in desired form, followed by some finishing touches. One important characteristic of an item produced is its weight. If weight is too low, product may be weak. If weight is too high, it may mean wastage of raw material. Hence a manufacturer is keen to know the relation between product weight and various parameters of manufacturing process. In a particular factory 3 parameters likely to affect weight were monitored. These were Extruder RPM, current and conveyer speed.
Usage
1
Format
A data frame with 49 observations on the following 4 variables.
WEIGHTWeight of product
EXTRUDER_RPMExtruder speed \[RPM - revolutions per minute\]
CURRENTCurrent
Conveyer_SpeedConveyer speed
Details
Fit a multiple regression model and carry out the residual analysis. Also, perform the identification of outliers.
Source
http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html
Examples
1
gpk documentation built on May 2, 2019, 12:39 p.m.
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Description Usage Format Details Source Examples
Description
Extrusion is a process in which dough-like raw material is pushed through a machine and the machine puts out product in desired form, followed by some finishing touches. One important characteristic of an item produced is its weight. If weight is too low, product may be weak. If weight is too high, it may mean wastage of raw material. Hence a manufacturer is keen to know the relation between product weight and various parameters of manufacturing process. In a particular factory 3 parameters likely to affect weight were monitored. These were Extruder RPM, current and conveyer speed.
Usage
1 |
Format
A data frame with 49 observations on the following 4 variables.
WEIGHTWeight of product
EXTRUDER_RPMExtruder speed \[RPM - revolutions per minute\]
CURRENTCurrent
Conveyer_SpeedConveyer speed
Details
Fit a multiple regression model and carry out the residual analysis. Also, perform the identification of outliers.
Source
http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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