If a relevant variable is omitted from a regression equation, the consequences would be that:

i) The standard errors would be biased


ii) If the excluded variable is uncorrelated with all of the included variables, all of

the slope coefficients will be inconsistent.


iii) If the excluded variable is uncorrelated with all of the included variables, the

intercept coefficient will be inconsistent.


iv) If the excluded variable is uncorrelated with all of the included variables, all of

the slope and intercept coefficients will be consistent and unbiased but inefficient.
(A)(ii) and (iv) only (B)(i) and (iii) only (C)(i), (ii), and (iii) only (D)(i), (ii), (iii), and (iv)
C