Question

In the presence of serial correlation: a. estimated standard errors remain valid. b. estimated test statistics remain valid. c. estimated OLS values are not BLUE. d. estimated variance does not differ from the case of no serial correlation.

Answer 1

Answer: c. estimated OLS values are not BLUE

Step-by-step explanation:

Regression of ordinary least squares (OLS) is a statistical analysis technique that estimates the relationship between one or more independent variables and a dependent variable. The method estimates the relationship between the observed and predicted values of the relationship by minimizing the sum of the squares.