Use the regression equation

\[ \hat{y}=49,764+364 x_{1}+228 x_{2}+267 x_{3} \]

found in Example 1 to predict an employee's salary for each set of conditions.

1. 12 years of current employment 

5 years of previous experience 

16 years of education 

2. 4 years of current employment 

2 years of previous experience 

12 years of education 

3. 8 years of current employment 

7 years of previous experience 

17 years of education

Data from Example 1

A researcher wants to determine how employee salaries at a company are related to the length of employment, previous experience, and education. The researcher selects eight employees from the company and obtains the data shown in the table.

Use Minitab to find a multiple regression equation that models the data.

Transcribed Image Text:

Salary Employee (in dollars), y Employment (in years), x1 Experience (in years), .x2 Education (in years), x3 ABCDEFGH 57,310 10 57,380 5 2 6 16 16 54,135 3 1 12 56,985 6 5 14 58,715 8 60,620 20 59,200 60,320 14 8046 16 12 18 17