50%(4)2 out of 4 people found this document helpful
This preview shows page 2 out of 2 pages.
8. Which of the following is correct about the least squares method? a) The least squares estimators are the best linear unbiased estimators when the assumptions SR1SR5 ‐are satisfied. b) The least squares estimator are obtained by maximizing the sum of squared errors. c) If the assumptions are held, R2 = 1. d) If the sample data for y and x are uncorrelated, the least squares estimators are the linear unbiased estimators. 9. Under the assumptions SR1SR5 of the linear regression model, GaussMarkov Theorem says, ‐‐10. You estimate a simple linear regression model using a sample of 27 observations and obtain the following results (estimated standard errors in parentheses below coefficient estimates): ŷ = 67.52 + 19.74 x (3.12) (3.42) What are the endpoints of the interval estimator for 2 with a 95% interval estimate? Percentile of the tdistribution: ‐