test 3 Flashcards
The OLS slope coefficient is equal to the ratio of the sample covariance of X and Y to the sample variance of X.
t
The OLS intercept is that value of X which is consistent with Y=0.
f
For the OLS estimator to be unbiased all four Gauss-Markov assumptions must hold
f
The 2R for a regression will always increase when extra variables are added
t
he omission of a relevant variable will normally lead to bias in the remaining coefficient estimates
t
In a log-linear regression equation the elasticity of Y with respect to X is calculated by multiplying the slope coefficient by /XY where a bar indicates the mean value.
f
Serial correlation in the residuals implies bias in the coefficient estimates.
f
Heteroscedasticity in the residuals implies that the OLS estimator will be inefficient
t
If the Durbin-Watson statistic is less than two then this indicates the presence of negative serial correlation.
f
In a bivariate regression the F statistic is equal to the t statistic for the slope coefficient
f
