CAS Exam MAS-I Fall 2019, Question 35
Study guide: Exam MAS-I
Two variables, X and Y, exhibit the following relationship:
Y_i = 1.5X_i + 2 + \varepsilon_i
where \varepsilon_i is a standard normal random variable, and each \varepsilon_i is mutually independent.
For some sample of data, an actuary uses ordinary least squares regression of the form:
Y_i = \hat{\beta}_1 X_i + \hat{\beta}_0 + e_i
to estimate the relationship. The following parameter estimates were formed:
| Parameter | Estimate |
|---|---|
\hat{\beta}_0 |
2.5 |
\hat{\beta}_1 |
1.3 |
Calculate the bias of the estimate.
- A) Less than -0.1
- B) At least -0.1, but less than 0.1
- C) At least 0.1, but less than 0.3
- D) At least 0.3
- E) There is not enough information provided to calculate the bias.
Answer this question and see the worked solution