Data: CH09PR10.txt
Description: Four tests are
given to 25 applicants. After a
period, each applicant was rated for proficiency on the job.
Number of
observations: 25
Variable |
Description |
Y |
the job
proficiency score for the 25 applicants |
x1 |
scores for the first test |
x2 |
scores for the 2nd test |
x3 |
scores for the
3rd test |
x4 |
scores for the
4th test |
|
|
|
|
Lung pressure
Description: Increased
arterial blood pressure in the lungs frequently
leads to the development of heart failure in patients with chronic
obstructive
pulmonary diseases. Three measures are taken from 19 patients to see if
these
predictors are useful to predict the invasiv measure of systoplic
pulmonary
arterial pressure.
Number of
observations: 19
Variable |
Description |
Y |
the invasiv
measure of systoplic pulmonary arterial pressure |
x1 |
emptying rate of blood into the pumping chamber of the heart |
x2 |
ejection rate of blood into the pumped out the heart into the lungs |
x3 |
blood gass |
|
|
|
|
|
|
Kidney
function
Description: Creatinine
clearance (Y) is an important measure of kidney
function. To determine whether this measure can be predicted from some
other
data, three other measures are taken from 33 male subjects.
Number of
observations: 33
Variable |
Description |
Y |
Creatinine
clearance |
x1 |
serum creatinine concentration |
x2 |
ages |
x3 |
weight |
|
|
|
|
|
|
Water usage of a power plant
Data: wate.txt
Description: A production
plant
cost-control engineer is responsible for cost reduction. One of the
costly
items in his plant is the amount of water used by the production
facilities
each month. He decided to investigate water usage by collecting
seventeen
observations on his plant's water usage and other variables.
Number of
observations: 17
Variable |
Description |
temperature |
Average monthly
temperate (F) |
production |
Amount of
production (M pounds) |
days |
Number of plant
operating days in the month |
workers |
Number of
workers on the monthly plant payroll |
Water (Y) |
Monthly water
usage (gallons) |
Source: Draper, N.R.,
and Smith, H. (1981) Applied Regression Analysis,
2nd Edition, Wiley: