Question

Salary Years Age MBA? 35600 7.3 33 0 71100 24.1 61 0 42300 8.6 35 1...

Salary Years Age MBA?
35600 7.3 33 0
71100 24.1 61 0
42300 8.6 35 1
51200 11.5 43 1
41300 13.8 40 0
64900 18.1 55 0
54600 16.9 49 0
43800 9.4 37 1
46600 12.2 48 1
50100 16 50 0
32800 4.2 28 1
49300 11.5 49 0
38100 7.3 35 1
53500 14.4 52 1
46000 10.8 45 0

The data in the above table give the annual salary (Salary), number of years of employment (Years), employee's age (Age), and whether or not the employee has an MBA degree (1 = yes, 0 = no) for 15 workers in a particular industry and location.

What proportion of the variability in the Salaries is explained by the multiple regression model using Years, Age, and MBA? as predictor variables?

Question 7 options:

.915%

3388.9

91.5%

39.6%

89.2

Homework Answers

Answer #1

The statistical software output for this problem is:

From the above table,

R - squared = 0.915

Hence,

Percentage of variation explained = 91.5%

Option C is correct.

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