Question

In: Statistics and Probability

A social scientist would like to analyze the relationship between educational attainment (in years of higher...

A social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows:

Salary Education
38 5
70 5
28 0

Click here for the Excel Data File

Salary

Education

38

5

70

5

96

8

55

3

80

9

78

8

108

9

49

0

31

6

37

6

96

5

40

1

69

7

70

7

166

5

63

0

83

1

62

3

131

5

28

0


a. Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.)

Salaryˆ=Salary^=    +   Education


b. Interpret the coefficient for Education.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $8,590.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $4,070.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $4,070.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $8,590.

c. What is the predicted salary for an individual who completed 6 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.)

SalaryˆSalary^               $

Solutions

Expert Solution

Solution

The independent variable isEducation, and the dependent variable is Salary. In order to compute the regression coefficients, the following table needs to be used:

Education Salary Education*Salary Education2 Salary2
5 38 190 25 1444
5 70 350 25 4900
8 96 768 64 9216
3 55 165 9 3025
9 80 720 81 6400
8 78 624 64 6084
9 108 972 81 11664
0 49 0 0 2401
6 31 186 36 961
6 37 222 36 1369
5 96 480 25 9216
1 40 40 1 1600
7 69 483 49 4761
7 70 490 49 4900
5 166 830 25 27556
0 63 0 0 3969
1 83 83 1 6889
3 62 186 9 3844
5 131 655 25 17161
0 28 0 0 784
Sum = 93 1450 7444 605 128144

Therefore, we find that the regression equation is:

Salary=53.60+4.07Education

b. Interpret the coefficient for Education.

As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $4.065.

c)

c. What is the predicted salary for an individual who completed 6 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.)

Salary=53.60+4.07Education

Salary=53.60+4.07*6

Salary= $78


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