In: Statistics and Probability
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) = 0.36*(age) + 5.43. If a customer is 38 years old and they make an average of 14.58 claims per year, what is the residual?
1)-23.42 | |
2)-4.53 | |
3)4.53 | |
4)23.42 | |
5)18.89 |
Given regression equation
Claims per year = 0.36*(age) + 5.43
For age = 38
Claims per year = 0.36*38 + 5.43
Claims per year = 19.11
So predicted claims per year = 19.11
Actual claims per year = 14.58
Residual = actual - predicted
Residual = 14.58 - 19.11
Residual = - 4.53