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 is the multiple linear regression ogunt

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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
32800 4.2
50 0
28 1
49300 11.5 49 0
38100 7.3
35
53500 14.4 52 1
46000 10.8 45 0
1
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.
%3D
What is the multiple linear regression equation that relates Salary (as the response
variable) to the other three variables?
Transcribed Image Text: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 32800 4.2 50 0 28 1 49300 11.5 49 0 38100 7.3 35 53500 14.4 52 1 46000 10.8 45 0 1 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. %3D What is the multiple linear regression equation that relates Salary (as the response variable) to the other three variables?
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