Insurance {MASS} | R Documentation

## Numbers of Car Insurance claims

### Description

The data given in data frame `Insurance` consist of the numbers of policyholders of an insurance company who were exposed to risk, and the numbers of car insurance claims made by those policyholders in the third quarter of 1973.

### Usage

    data(Insurance)

### Format

This data frame contains the following columns:

`District`
  district of policyholder (1 to 4): 4 is major cities.
`Group`
  group of car (1 to 4), <1 litre, 1–1.5 litre, 1.5–2 litre, >2 litre.
`Age`
  of driver in 4 ordered groups, <25, 25–29, 30–35, >35.
`Holders`
  numbers of policyholders
`Claims`
  numbers of claims

### Source

L. A. Baxter, S. M. Coutts and G. A. F. Ross (1980) Applications of linear models in motor insurance. Proceedings of the 21st International Congress of Actuaries, Zurich pp. 11–29

M. Aitkin, D. Anderson, B. Francis and J. Hinde (1989) Statistical Modelling in GLIM. Oxford University Press.

### References

Venables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with S-PLUS. Third Edition. Springer.

### Examples

    ## main-effects fit as Poisson GLM with offset
    glm(Claims ~ District + Group + Age + offset(log(Holders)),
        data = Insurance, family = poisson)

    # same via loglm
    loglm(Claims ~ District + Group + Age + offset(log(Holders)),
          data = Insurance)

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