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.

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.

answer: 1,380

step-by-step explanation:

1: you turn %15 into a decimal by moving the decimal point two places to the left.

2: and then you multiply .15 by 1,200 , which will get you 180.00

3: from there you will add 180 to 1,200

4: which will get you 1,380

hope it *im kind of slow so idk if my answer is right*

nada

step-by-step explanation: