Data invented by Neyman to look at spurious correlations and adjusting
for lurking variables by looking at the relationship between storks and biths.
Usage
data(stork)
Arguments
Format
A data frame with 54 observations on the following 6 variables.
County
ID of county
Women
Number of Women (*10,000)
No.storks
Number of Storks sighted
No.babies
Number of Babies Born
Stork.rate
Storks per 10,000 women (=No.storks/Women)
Birth.rate
Babies per 10,000 women (=No.babies/Women)
Details
This is an entertaining example to show a relationship that is due to a
third possibly lurking variable. The source paper shows how completely
different relationships can be found by mis-analyzing the data.
References
Neyman, J. (1952) Lectures and Conferences on Mathematical Statistics
and Probability, 2nd edn, pp. 143-154. Washington DC: US Department of Agriculture.