Suppose you are interested in investigating the wage gender gap using data on earnings of men and women. Which of the following models best serves this​ purpose? A. where Male ​(=1 if​ male) is an indicator variable and u the error term. B. where u is the error term. C. ​, where Female ​(=1 if​ female) is an indicator variable and u the error term. D. where Female ​(=1 if​ female) is an indicator variable and u the error term. Consider the regression model Where Female ​(=1 if​ female) is an indicator variable and u the error term. Identify the dependent and independent variables in the regression model above. Wage is the ▼ dependent independent ​variable, while Female is the ▼ dependent independent variable

8121 because

130,000 divided by 16 is 8121

answer: the price of one pound cabbage = $ 0.8

the point (10,8) represents that the cost of 10 pounds cabbage is $ 8

step-by-step explanation:

since, here is a proportional relation between the number of pounds of cabbage (x) and the price in dollars (y).

therefore, we can write,

⇒ y = k x

where k is the constant of proportionality.

now, point (5,4) is in the line.

thus, it will satisfies the above equation of line.

⇒ 4 = 5 k

⇒ k = 0.8

thus, the equation of the line is,

y = 0.8 x

a) for x = 1,

y = 0.8

therefore, the cost of one pound of cabbage is 0.8 dollars.

b) in the below graph (10,8) represents that the cost of 10 pounds of cabbage is 8 dollars.

fwms@lil_ben06

step-by-step explanation:

i don’t see a picture