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Earnings of Mexican street vendors. Detailed interviews were conducted with over

ID: 3132085 • Letter: E

Question

Earnings of Mexican street vendors. Detailed interviews were conducted with over 1,000 street vendors in the city of Puebla, Mexico, in order to study the factors influencing vendors’ incomes (World Development, February 1998). Vendors were defined as individuals working in the street, and included vendors with carts and stands on wheels and excluded beggars, drug dealers, and prostitutes. The researchers collected data on gender, age, hours worked per day, annual earnings, and education level. A subset of these data (STREETVEN) appears in the accompanying table.

Obs

vendor

earnings

age

hours

1

21

2841

29

12

2

53

1876

21

8

3

60

2934

62

10

4

184

1552

18

10

5

263

3065

40

11

6

281

3670

50

11

7

354

2005

65

5

8

401

3215

44

8

9

515

1930

17

8

10

633

2010

70

6

11

677

3111

20

9

12

710

2882

29

9

13

800

1683

15

5

14

914

1817

14

7

15

997

4066

33

12

A)

What is the estimated slope relating annual earnings (y) to hours worked (x2) when age (x1) is 20? What is the estimated slope relating annual earnings (y) to hours worked (x2) when age (x1) is 50? Interpret the results.

Obs

vendor

earnings

age

hours

1

21

2841

29

12

2

53

1876

21

8

3

60

2934

62

10

4

184

1552

18

10

5

263

3065

40

11

6

281

3670

50

11

7

354

2005

65

5

8

401

3215

44

8

9

515

1930

17

8

10

633

2010

70

6

11

677

3111

20

9

12

710

2882

29

9

13

800

1683

15

5

14

914

1817

14

7

15

997

4066

33

12

Explanation / Answer

Let, dependent variable y = annual earnings

and independent variables are x1 = age

x2 = hours worked

Here we have to find regression equation.

This we can done by using EXCEL.

steps:

Insert data in EXCEL sheet --> Data --> Data Analysis --> Regression --> ok --> Input Y Range : select y-range --> Input x-range --> select all x1,x2 range --> output range : select on empty cell --> ENTER

output is,

The regression equation is
y = - 20 + 13.4 x1 + 244 x2

What is the estimated slope relating annual earnings (y) to hours worked (x2) when age (x1) is 20?

y = -20 + 13.4*20 + 244x2

y = -20 + 268 + 244x2

y = 248 + 244x2

Here intercept is 248 and slope for  annual earnings (y) to hours worked (x2) when age (x1) is 20 is 244.

What is the estimated slope relating annual earnings (y) to hours worked (x2) when age (x1) is 50?

y = -20 + 13.4 x1 + 244 x2

y = -20 + 13.4*50 + 244x2

y = -20 + 670 + 244x2

y = 650 + 244x2

Here intercept is 650 and slope for  annual earnings (y) to hours worked (x2) when age (x1) is 50 is 244.

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