7. In the linear regression Y I: g + lXi + 81., OLS is BLUE (Best Linear Unbiased Estimator) only when the error terms are i.i.d. normally distributed. 8. In the linear regression model, Y1: g + lXi + 81., if both X and Y are multiplied by 500, the regression coefcient (b0, b1) will stay the same. 9. If you do not know the sample size and the number of independent variables, you cannot compute standard error from MSE. 10. White test is designed to detect conditional heteroskedasticity problem in the data