ex1716: Insurance

In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"

Description

In the 1970's the U.S. Commission on Civil Rights investigated charges that insurance companies were attempting to redefine Chicago “neighborhoods” in order to cancel existing homeowner insurance policies or refuse to issue new ones. Dataset has data on homeowner and residential fire insurance policy issuances from 47 zip codes in the Chicago area.

Usage

ex1716

Format

A data frame with 47 observations on the following 8 variables.

ZIP

last 2 digits of zip code

Fire

fires per 1000 housing units

Theft

thefts per 1000 population

Age

percentage of housing units built prior to 1940

Income

median family income

Race

percentage minority

Vol

number of new policies per 100 housing units

Invol

number of FAIR plan policies and renewals per 100 housing units

Source

Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.

References

Andrews, D.F. and Herzberg, A.M. (1985). Data: A Collection of Problems from many Fields for the Student and Research Worker, Springer-Verlag.

Examples

str(ex1716)

Example output

'data.frame':	47 obs. of  8 variables:
 $ ZIP   : int  26 40 13 57 14 10 11 25 18 47 ...
 $ Fire  : num  6.2 9.5 10.5 7.7 8.6 34.1 11 6.9 7.3 15.1 ...
 $ Theft : int  29 44 36 37 53 68 75 18 31 25 ...
 $ Age   : num  60.4 76.5 73.5 66.9 81.4 52.6 42.6 78.5 90.1 89.8 ...
 $ Income: int  11744 9323 9948 10656 9730 8231 21480 11104 10694 9631 ...
 $ Race  : num  10 22.2 19.6 17.3 24.5 54 4.9 7.1 5.3 21.5 ...
 $ Vol   : num  5.3 3.1 4.8 5.7 5.9 4 17.9 6.9 7.6 3.1 ...
 $ Invol : num  0 0.1 1.2 0.5 0.7 0.3 0 0 0.4 1.1 ...

Sleuth3 documentation built on May 2, 2019, 6:41 a.m.