Data for male workers in Colombia were used in order to estimate through a multiple regression model their years of education or schooling. The data used yielded the following results:

Educ = 10.36-0.094 * Herm + 0.131 * Meduc + 0.210 * Feduc
n = 722 men, R ^ 2 = 0.214

Educ = Years of schooling
Herm = Number of siblings
Meduc = Years of mother's education
Feduc = Years of father's education

A- (1 point) Does the variable Herm have the expected result? (Mark with X)
Yes or no

Because? Precise sea (a).
Why should the model predict that the greater the number of
brothers
A-1 (1 point) Holding Meduc and Feduc constant. How much does Herm have to increase to have a one-year reduction in the predicted years of education (Educ)? (Use 2 decimal places)

B- (1 point) How is the Meduc coefficient interpreted?

C- (1 point) How is the Feduc coefficient interpreted?

D- (1 point) Suppose that a man X has 4 brothers and that his father and mother each have 12 years of education. And a Y man has no siblings and his father and mother each have 16 years of education. What is the difference between X and Y in predicted years of education or schooling?