If you have eliminated Gender from the model, run a new multiple regression equa

Question

If you have eliminated Gender from the model, run a new multiple regression equation, if not continue with this one: y=-2.76+1.81(x)+.52(x2)-2.29(x3). Use the estimated multiple regression equation to predict the Salary for a person with characteristics similar to staff #1 on the data set .

I don't understand how to do this question. Would you be able to explain how to do it and how you came up with the answer?

Thannk you!

Employee Salary (y) Education (x) Job exp (x2) Gender (x3) Gender A 5 2 9 1 Male B 9.7 4 18 1 Male C 28.4 8 21 0 Female D 8.8 8 12 1 Male E 21 8 14 1 Male F 26.6 10 16 0 Female G 25.4 12 16 1 Male H 23.1 12 9 0 Female I 22.5 12 18 0 Female J 19.5 12 5 1 Male K 21.7 12 7 1 Male L 24.8 13 9 1 Male M 30.1 14 12 0 Female N 24.8 14 17 0 Female O 28.5 15 19 0 Female P 26 15 6 1 Male Q 38.9 16 17 0 Female R 22.1 16 1 1 Male S 33.1 17 10 0 Female T 48.3 21 17 0 Female

Explanation / Answer

The regression equation given is:

y= -2.76+1.81(x)+.52(x2)-2.29(x3)

For staff 1,

x = 2, x2 = 9, x3 = 1

Hence,

Predicted salary

y = -2.76+1.81(2)+.52(9)-2.29(1)

y = 3.25

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