A car insurance company might conduct a linear regression to come up with a suggested premium table using predicted claims to Insured Declared Value ratio. The risk can be assessed based on the attributes of the car, driver information or demographics. What are the dependent and independent variables? Why would a regression analysis be useful in this application?