claims
Cost of Automobile Insurance Claims
Description
The original data was taken from 8942 insurance claims.
The 128 rows of the claims data frame represent all possible
combinations of the 3 predictor variables (columns) age , car.age ,
and type . An additional variable, number gives the number of
claims in each cell.
The outcome variable, cost is the average cost of the claims.
Arguments
| age |
an ordered factor dividing the claimants into eight age groups.
The levels are `17-20 < 21-24 < 25-29 < 30-34 < 35-39 < 40-49 < 50-59 < 60+'
|
| car.age |
an ordered factor dividing the claims into four groups by the age of the car.
The levels are `0-3 < 4-7 < 8-9 < 10+'
|
| type |
a factor giving one of four types of car: A , B , C or D .
|
| cost |
the average cost of claims for a given combination of claimant age,
car age, and claim type. Some are NA .
|
| number |
the number of claims for a given combination of claimant age,
car age, and claim type. Some are 0 .
|
Source
Baxter, L. A., Coutts, S. M., and Ross, G. A. F. (1980)
Applications of Linear Models in Motor
Insurance. Proceedings of the 21st International Congress of Actuaries,
Zurich, pp. 11--29.
John M. Chambers and Trevor J. Hastie, (1992) Statistical Models in S,
Wadsworth and Brooks, Pacific Grove, CA, pp. 111--112.
Examples
data(claims)
claims.fit <- lm(cost ~ age + type + car.age, data=claims,
weights=number, na.action=na.omit)