| bank_data {fsdaR} | R Documentation |
Bank data (Riani et al., 2014).
Description
There are 60 observations on a response y with the values of three explanatory variables. The scatter plot matrix of the data shows y increasing with each of x1, x2 and x3. The plot of residuals against fitted values shows no obvious pattern. However the FS finds that there are 6 masked outliers.
Usage
data(bank_data)
Format
A data frame with 1949 rows and 14 variables. The variables are as follows:
x1: Personal loans
x2: Financing and hire-purchase
x3: Mortgages
x4: Life insurance
x5: Share amount
x6: Bond account
x7: Current account
x8: Salary deposits
x9: Debit cards
x10: Credit cards
x11: Telephone banking
x12: Domestic direct debits
x13: Money transfers
y: Profit/loss
Source
Riani, M., Cerioli, A., Atkinson, A. C., and Perrotta, D. (2014). Supplement to ”Monitoring robust regression”. doi:10.1214/14-EJS897SUPP.
References
Riani, M., Cerioli, A., Atkinson, A. C., and Perrotta, D. (2014). Monitoring robust regression. Electronic Journal of Statistics, 8, 642-673.