While attempting to measure its risk exposure for the upcoming year, an insurance company notices a trend between the age of a customer and the number of claims per year. It appears that the number of claims keep going up as customers age. After performing a regression, they find that the relationship is (claims per year) = 0.444*(age) + 4.034. If a customer is 47.276 years old and they make an average of 14.507 claims per year, the residual is -10.518. Interpret this residual in terms of the problem.

a) The number of claims per year is 14.507 claims less than than what we would expect. b) The age is 10.518 years larger than than what we would expect. c) The age is 10.518 years less than than what we would expect. d) The number of claims per year is 10.518 claims greater than than what we would expect. e) The number of claims per year is 10.518 claims less than than what we would expect.