Open in eviews the CW2 data 1 excel file. This is a data set we have been using previously . Your aim is to set up a model to explain the average or expected value of log wage as a function of experience and education and a dummy for single( not married) female individuals. Note that in the model you must use log wage and keep education and experience in level ( no logs) . Using eviews, you find that :

Select one:

a. The expected value of log wage when education and experience are zero is lower for a single female of 0.0201413 with respect to married females.

b. none of the above because the model suffers of perfect multicollinearity.

c. The expected value of log wage when education and experience are zero is lower for a single female of 0.0201413 with respect to male.

d. The expected value of log wage when education and experience are zero is lower for a single female of 0.0201413 with respect to male and married females.

e. The expected value of log wage when education and experience are zero is higher for a single female of 0.0201413 with respect to male and married females.